Econometrics and Statistics

P

ROGRAMME AND

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BSTRACTS

9th International Conference on

Computational and Financial Econometrics (CFE 2015)

http://www.cfenetwork.org/CFE2015

and

8th International Conference of the

ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on

Computational and Methodological Statistics (CMStatistics 2015)

http://www.cmstatistics.org/CMStatistics2015

Senate House & Birkbeck University of London, UK

12 – 14 December 2015

Econometrics and Statistics

http://CMStatistics.org

http://CFEnetwork.org

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ISBN 978-9963-2227-0-4

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⃝2015 - CFE and CMStatistics networks

Technical Editors: Angela Blanco-Fernandez and Gil Gonzalez-Rodriguez.

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted, in any other form or by any means without the prior permission from the publisher.

International Organizing Committee:

Ana Colubi, Liudas Giraitis, Erricos Kontoghiorghes, Irini Moustaki,

Zacharias Psaradakis, Berc Rustem and Herman Van Dijk.

CFE 2015 Co-chairs:

Richard T. Baillie, Jean-Pierre Urbain and Mike West.

CFE 2015 Programme Committee:

Manabu Asai, Tomaso Aste, Hilde C. Bjornlans, Peter Boswijk, Gianluca Cubadda, Manfred Deistler,

Jean-Marie Dufour, Marco Gallegati, Christian Gourieroux, Jim Griffin, Marc Hallin, Alain Hecq, David Hendry,

Robert Hudson, Degui Li, Zudi Lu, Richard Luger, Gael Martin, Gian Luigi Mazzi, Serena Ng, Yasuhiro

Omori, Christopher Otrok, Michael Pitt, D.S.G. Pollock, Artem Prokhorov, Francesco Ravazzolo, Willi

Semmler, Pierre Siklos, Mike Smith, Laura Spierdijk, Genaro Sucarrat, Carsten Trenkler, Peter Zadrozny

and Jean-Michel Zakoian.

ERCIM 2015 Co-chairs:

Irene Gijbels, Mia Hubert, Byeong U. Park and Roy Welsch.

ERCIM 2015 Programme Committee:

Christophe Ambroise, Peter Buehlman, Ming-Yen Chen, Jeng-Min Chiou, Taeryion Choi, Herold Dehling,

Aurore Delaigle, Fabrizio Durante, Yang Feng, Roland Fried, Piotr Fryzlewicz, Armelle Guillou, Sebastien

Haneuse, Xuming He, Arnold Janssen, Jan Johannes, Mikyoung Jun, Robert Kohn, Soumendra Lahiri,

Anto-nio Lijoi, Steve Marron, Hans-Georg Mueller, Hannu Oja, Davy Paindaveine, M. Carmen Pardo, Annie Qu,

Holger Rootzen, Robert Serfling, Jian Qing Shi, Yanqing Sun, Ingrid Van Keilegom, Mattias Villani, Huixia

Judy Wang, Ernst Wit, Hongtu Zhu, Jacobo de Una and David van Dyk.

Local Organizer:

Queen Mary University of London.

Birkbeck University of London.

Imperial College London.

The London School of Economics and Political Science.

CFEnetwork and CMStatistics.

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Contents

General Information I

Committees . . . III Welcome . . . IV CMStatistics: ERCIM Working Group on Computational and Methodological Statistics . . . V CFEnetwork: Computational and Financial Econometrics . . . V Scientific programme . . . VI Tutorials, Meetings and Social events . . . VII Venue, Registration, Presentation instructions, Posters and Internet connection . . . VII Lecture rooms, Information messages and Exhibitors . . . VIII Map of the venue and nearby area . . . IX Publications outlets of the journals EcoSta and CSDA and Call for papers . . . X

Keynote Talks 1

Keynote talk 1 (Tim Bollerslev, Duke University, United States) Saturday 12.12.2015 at 08:40 - 09:30

Realized volatility based forecasting models: Exploiting the errors . . . 1

Keynote talk 2 (Richard Samworth, University of Cambridge, United Kingdom) Saturday 12.12.2015 at 10:05 - 10:55 Random projection ensemble classification . . . 1

Keynote talk 3 (George Kapetanios, Queen Mary University of London, United Kingdom) Sunday 13.12.2015 at 18:30 - 19:20 Estimation and Inference for random time varying coefficient models . . . 1

Keynote talk 4 (Jianqing Fan, Princeton University, United States) Monday 14.12.2015 at 12:05 - 12:55 Distributed estimation and inference with statistical guarantees . . . 1

Keynote talk 5 (Peter Diggle, Lancaster University and University of Liverpool, United Kingdom) Monday 14.12.2015 at 18:10 - 19:00 Model-based geostatistics for prevalence mapping in low-resource settings . . . 1

Parallel Sessions 2 Parallel Session B – CFE (Saturday 12.12.2015 at 09:40 - 10:55) 2 CO416: ANALYSIS OF HIGH-DIMENSIONAL TIME SERIESI (Room: Chancellor’s Hall) . . . 2

CO623: STATE SPACE MODELS AND COINTEGRATION(Room: Bloomsbury) . . . 2

CO596: TEMPORAL AND SPATIAL ECONOMETRIC MODELLING AND TESTING(Room: Montague) . . . 3

CO524: MODELING COMMODITY PRICES AND VOLATILITY(Room: Athlone) . . . 3

CO464: EARLY WARNING SYSTEM AND SYSTEMIC RISK INDICATORSI (Room: Woburn) . . . 3

CO392: GARCHINNOVATIONS(Room: Senate) . . . 4

CO528: FUNDS PERFORMANCE MEASUREMENT(Room: Holden) . . . 4

CO496: TIME SERIES(Room: SH349) . . . 5

CO420: ROBUST METHODS(Room: Jessel) . . . 5

CO538: MACROECONOMIC ANALYSIS(Room: Gordon) . . . 5

CO418: CO-MOVEMENTS IN MACRO AND FINANCE TIME SERIES(Room: Court) . . . 6

CO424: TECHNICAL ANALYSIS AND ADAPTIVE MARKETS(Room: Torrington) . . . 6

CG577: CONTRIBUTIONS ON NONSTATIONARY TIME SERIES AND PANELS(Room: Bedford) . . . 7

Parallel Session D – CFE-CMStatistics (Saturday 12.12.2015 at 11:25 - 13:05) 8 CI016: SPECIAL SESSION ONBAYESIAN METHODS IN ECONOMICS AND FINANCE(Room: Beveridge Hall) . . . 8

CO590: EMPIRICAL MODEL DISCOVERY(Room: Senate) . . . 8

CO568: MODELLING RISK(Room: Holden) . . . 9

CO436: TIME-SERIES ECONOMETRICS(Room: Jessel) . . . 9

CO578: MEASUREMENT OF MARKET SPILLOVERS(Room: SH349) . . . 10

CO506: MODELLING VOLATILITY(Room: Athlone) . . . 11

CO566: NONCAUSAL AND NONGAUSSIAN TIME SERIES MODELS(Room: Chancellor’s Hall) . . . 11

CO490: THE ECONOMETRICS OF CLIMATE CHANGE(Room: Bedford) . . . 12

CO410: FINANCIAL REGULATION(Room: Bloomsbury) . . . 12

CO542: FINANCE AND JOBS IN DYNAMIC MACRO MODELS(Room: Torrington) . . . 13

CO570: SPARSE MODELLING,SHRINKAGE AND REGULARIZATION(Room: Court) . . . 14

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CO625: CREDIT RISK MODELLING(Room: Montague) . . . 14

CO556: ASSET PRICE BUBBLES(Room: Gordon) . . . 15

CO434: GOODNESS-OF-FIT,MULTIPLE PREDICTORS AND MULTIVARIATE MODELS(Room: G21A) . . . 15

CO454: NOWCASTING AND FORECASTING UNDER UNCERTAINTYI (Room: Woburn) . . . 16

EI010: SPECIAL SESSION ON ROBUSTNESS FOR FUNCTIONAL AND COMPLEX DATA(Room: CLO B01) . . . 16

EO182: STATISTICS FOR COSMOLOGICAL DATA(Room: MAL 540) . . . 17

EO138: CLUSTERING MIXED DATA(Room: MAL 421) . . . 17

EO136: METHODS FOR THE ANALYSIS OF SEMI-COMPETING RISKS DATA(Room: MAL B33) . . . 18

EO288: RECENT DEVELOPMENT ON SINGLE INDEX MODELS(Room: CLO 203) . . . 19

EO184: OBJECT ORIENTED DATA ANALYSISI (Room: CLO 101) . . . 19

EO635: BAYESIAN SEMI-AND NONPARAMETRIC MODELLINGI (Room: MAL B20) . . . 20

EO206: STOCHASTIC PROCESSES WITH APPLICATIONS(Room: MAL B35) . . . 20

EO322: METHODOLOGY AND APPLICATIONS OF LATENT VARIABLE MODELS(Room: MAL 415) . . . 21

EO040: TOPICS IN DIRECTIONAL STATISTICS(Room: CLO 102) . . . 21

EO294: STATISTICAL EVALUATION OF MEDICAL DIAGNOSTIC TESTS(Room: CLO 306) . . . 22

EO180: INFERENCE IN MULTIPLE AND MATRIX GRAPHICAL MODELS(Room: MAL G15) . . . 23

EO060: APPLICATIONS OF EMPIRICAL MEASURES AND EMPIRICAL PROCESSES(Room: MAL B29) . . . 23

EO312: RECENT DEVELOPMENTS IN OPTIMAL DESIGN OF EXPERIMENTS(Room: CLO 204) . . . 24

EO096: DEPENDENCE MODELS AND COPULASI (Room: MAL B34) . . . 24

EO314: HIGH DIMENSIONS AND SMALL SAMPLE SIZES IN MULTIVARIATE INFERENCE(Room: MAL 414) . . . 25

EO222: STATISTICAL METHODS FOR BIG DATA AND ANTIFRAUD ANALYSIS(Room: MAL B36) . . . 25

EO058: CHANGE POINT ANALYSIS(Room: MAL 402) . . . 26

EC039: CONTRIBUTIONS ON REGRESSION ANALYSIS(Room: MAL 539) . . . 26

Parallel Session E – CFE-CMStatistics (Saturday 12.12.2015 at 14:25 - 16:05) 28 CO494: FORECASTING IN CENTRAL BANKS(Room: MAL B33) . . . 28

CO390: MULTIVARIATEGARCHAND DYNAMIC CORRELATION MODELS(Room: MAL B34) . . . 28

CO637: NOWCASTING AND FORECASTING UNDER UNCERTAINTYII (Room: MAL G15) . . . 29

CO478: VOLATILITY MODELING AND CORRELATION IN FINANCIAL MARKETS(Room: MAL 421) . . . 29

CO550: PORTFOLIO SELECTION AND ASSET PRICING AND MODELLING(Room: MAL 402) . . . 30

CO442: CORPORATE FINANCE(Room: MAL B29) . . . 30

CO530: TOPICS IN TIME SERIES AND PANEL DATA ECONOMETRICS (Room: MAL 414) . . . 31

CO588: NEWBAYESIAN METHODS AND ECONOMETRIC APPLICATIONS(Room: MAL B20) . . . 32

CO444: APPLIED FINANCIAL ECONOMETRICS(Room: MAL B36) . . . 32

CO514: ECONOMETRIC CHALLENGES IN RISK MANAGEMENT(Room: MAL B35) . . . 33

CG017: CONTRIBUTIONS ONBAYESIAN METHODS IN ECONOMICS AND FINANCE(Room: MAL 539) . . . 33

CG375: CONTRIBUTIONS ON NON-STARIONARITY AND NON-LINEARITY(Room: MAL 415) . . . 34

EO160: BAYESIAN ANALYSIS OF MISSING DATA AND LONGITUDINAL DATA(Room: Court) . . . 35

EO100: ADVANCES IN ROBUST DATA ANALYSIS(Room: Senate) . . . 35

EO048: STATISTICS FOR GENOMICS(Room: CLO 306) . . . 36

EO645: DEPENDENCE MODELS AND COPULASII (Room: Chancellor’s Hall) . . . 37

EO168: RECENT ADVANCES IN STATISTICAL MODELING AND COMPUTATION(Room: CLO 203) . . . 37

EO140: MULTIPLE TESTSI (Room: Bedford) . . . 38

EO204: BLIND SOURCE SEPARATION MODELS FOR TIME SERIES AND FUNCTIONAL DATA(Room: CLO 101) . . . 38

EO082: MULTI-STATE MODELS(Room: Woburn) . . . 39

EO126: MODELLING AND COMPUTATION IN STATISTICS OF EXTREMES(Room: Montague) . . . 40

EO342: RECENT ADVANCES IN FUNCTIONAL DATA ANALYSIS ANDBAYESIAN STATISTICS(Room: CLO 102) . . . 40

EO336: GENERALIZED LINEAR MODELS AND BEYOND(Room: Torrington) . . . 41

EO196: THEORY AND APPLICATIONS OF FUNCTIONAL DATA ANALYSIS(Room: CLO B01) . . . 41

EO174: OPTIMAL DESIGNS IN NON-STANDARD SITUATIONS(Room: CLO 204) . . . 42

EO208: HIGH-DIMENSIONAL STATISTICS(Room: Beveridge Hall) . . . 43

EO142: NONPARAMETRICBAYESIAN METHODS AND INVERSE PROBLEMS(Room: Holden) . . . 43

EO326: STATISTICS FOR FUZZY-OR SET-VALUED DATAI (Room: Athlone) . . . 44

EO192: APPLICATIONS OF MIXTURE MODELS(Room: Jessel) . . . 44

EO276: GRAPHICALMARKOV MODELS AND TOTALLY POSITIVE DEPENDENCES(Room: Bloomsbury) . . . 45

EC038: CONTRIBUTIONS ON SEMI-AND NON-PARAMETRIC STATISTICS(Room: Gordon) . . . 45

EG123: CONTRIBUTIONS ON NETWORKS(Room: G21A) . . . 46

EG099: CONTRIBUTIONS ON INDEPENDENCE AND DISTANCE-BASED METHODS(Room: SH349) . . . 46

EP653: POSTERSESSIONI (Room: Macmillan Hall and Crush Hall ) . . . 47

Parallel Session F – CFE-CMStatistics (Saturday 12.12.2015 at 16:35 - 18:40) 51 CI018: SPECIAL SESSION ON BOOTSTRAP INFERENCE(Room: Senate) . . . 51

CO438: LARGE DIMENSIONAL PANEL MODELS(Room: G21A) . . . 51

CO456: INFLATION ANALYSIS AND FORECASTING(Room: Woburn) . . . 52

CO422: ECONOMETRICS OF ART MARKETS(Room: Bedford) . . . 52

CO394: COMMODITY MARKETS: PRICING AND TRADING(Room: Torrington) . . . 53

CO548: BANKS AND THE MACROECONOMY IN THE CONTEXT OF STRESS TESTING(Room: Jessel) . . . 54

CO388: STRUCTURE IN MULTIVARIATE AND HIGH DIMENSIONAL TIME SERIES(Room: Chancellor’s Hall) . . . 55

CO484: FISCAL POLICY(Room: Athlone) . . . 56

CO508: REGIME CHANGE MODELING IN ECONOMICS AND FINANCEI (Room: Court) . . . 56

CO532: FINANCIAL RISK(Room: Bloomsbury) . . . 57

CO402: QUANTIFYING SOCIAL MEDIA IMPACT ON FINANCIAL DYNAMICS(Room: Holden) . . . 58

CO482: FINANCIAL FORECASTING(Room: Montague) . . . 59

CO362: RECENT DEVELOPMENTS IN TIME VARYING MODELLING(Room: SH349) . . . 59

CO348: TIME-FREQUENCY ANALYSIS OF ECONOMIC AND FINANCIAL DATA(Room: Gordon) . . . 60

EI008: SPECIAL SESSION ON STATISTICS FOR FUNCTIONAL DATA(Room: CLO B01) . . . 61

EO046: RESAMPLING PROCEDURES FOR DEPENDENT DATA(Room: CLO 101) . . . 61

EO176: HIGH-PERFORMANCE COMPUTING FOR STATISTICS, MLAND BIG DATA(Room: MAL B33) . . . 62

EO098: STATISTICAL MODELLING(Room: MAL 421) . . . 63

EO092: SPATIAL EXTREMES AND MAX-STABLE PROCESSES(Room: MAL B35) . . . 63

EO076: MACHINE LEARNING,APPROXIMATION AND ROBUSTNESS(Room: MAL B36) . . . 64

EO070: MODEL ASESSMENT(Room: MAL 414) . . . 65

EO234: RPACKAGES FOR MULTIVARIATE OUTLIER DETECTION(Room: MAL B34) . . . 65

EO150: CONVEX OPTIMIZATION IN STATISTICS(Room: MAL B29) . . . 66

EO210: MODELING AND STATISTICAL INFERENCE OF RECURRENT EVENTS(Room: MAL B20) . . . 67

EO116: ASYMPTOTIC PROPERTIES IN NONPARAMETRIC PROBLEMS(Room: CLO 203) . . . 67

EO144: SPATIAL AND SPATIO-TEMPORAL PROCESSES AND THEIR APPLICATIONS(Room: MAL G15) . . . 68

EO452: COMPUTATIONAL APPROACHES IN FINANCIAL ECONOMICS(Room: MAL B30) . . . 69

EO266: STATISTICAL METHODS FOR ACTUARIAL SCIENCES AND FINANCE(Room: MAL 415) . . . 69

EO302: DESIGNS FOR NONLINEAR MIXED EFFECT MODELS(Room: CLO 204) . . . 70

EO166: RECENT DEVELOPMENT OF EXPERIMENTAL DESIGNS(Room: CLO 306) . . . 71

EG263: CONTRIBUTIONS ON CENSORED DATA(Room: MAL 540) . . . 72

EG041: CONTRIBUTIONS IN COMPUTATIONAL AND NUMERICAL STATISTICS(Room: CLO 102) . . . 72

EG011: CONTRIBUTIONS ONBAYESIAN COMPUTATIONS(Room: MAL 402) . . . 73

EC036: CONTRIBUTIONS IN APPLIED STATISTICS AND DATA ANALYSIS(Room: MAL 539) . . . 74

Parallel Session G – CFE-CMStatistics (Sunday 13.12.2015 at 08:45 - 10:25) 76 CO510: ECONOMETRIC ANALYSES OF SPILLOVERS AND LIQUIDITY(Room: MAL B29) . . . 76

CO639: NOWCASTING AND FORECASTING UNDER UNCERTAINTYIII (Room: MAL G15) . . . 76

CO544: MODELLING AND COMPUTATION IN MACRO-ECONOMETRICS(Room: MAL B33) . . . 77

CO468: MACROECONOMICS,ASSET PRICING,AND ROBUSTNESS(Room: MAL B34) . . . 77

CO446: BAYESIAN NONPARAMETRIC ECONOMETRICS(Room: MAL B20) . . . 78

CO512: TOPICS IN FINANCIAL ECONOMETRICS(Room: MAL B30) . . . 79

CO470: QUANTITATIVE ASSET MANAGEMENT(Room: MAL 402) . . . 79

CO502: PANEL DATA MODELS WITH COMMON FACTORS: THEORY AND APPLICATIONS(Room: MAL 415) . . . 80

CO354: MEASURING AND FORECASTING DEFAULT RISK(Room: MAL B35) . . . 80

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CO518: FINANCIAL VOLATILITY AND COVARIANCE MODELLING(Room: MAL B36) . . . 81

CO370: MEASURING FINANCIAL RISK(Room: MAL 421) . . . 82

CO352: NONLINEAR MODELLING OF FINANCIAL TIME SERIES(Room: MAL 414) . . . 82

CG469: CONTRIBUTIONS INDSGEMODELLING(Room: MAL 541) . . . 83

CG499: CONTRIBUTIONS ON FINANCIAL TIME SERIES AND RISK PREMIA(Room: MAL 540) . . . 83

CG551: CONTRIBUTIONS ON PORTFOLIO SELECTION(Room: MAL 539) . . . 84

EO214: WAVELET METHODS IN STATISTICS(Room: Gordon) . . . 84

EO072: THEORETICAL FOUNDATION OF BIG DATA(Room: SH349) . . . 85

EO152: ESTIMATION AND INFERENCE IN HIGH DIMENSIONAL AND MIXTURE COPULAS(Room: Chancellor’s Hall) . . . 86

EO615: ADVANCED COMPUTATIONAL METHODS FOR COMPLEX DATA(Room: CLO 102) . . . 86

EO238: FUNCTIONAL AND OBJECT DATA WITH COMPLEX DEPENDENCIES(Room: CLO B01) . . . 87

EO290: ADVANCED METHODS FOR NEUROIMAGING DATA ANALYSIS(Room: CLO 203) . . . 87

EO308: TOPICS ON DISTANCE CORRELATION(Room: Montague) . . . 88

EO074: ADVANCES INBAYESIAN NONPARAMETRIC METHODS(Room: Court) . . . 88

EO170: BAYESIAN METHODS IN OFFICIAL STATISTICS(Room: Jessel) . . . 89

EO114: ADVANCES IN LATENT VARIABLE MODELS(Room: Senate) . . . 90

EO130: ROBUSTNESS,BIAS REDUCTION,MULTIVARIATE EXTREME(Room: Bedford) . . . 90

EO226: DEPTH AND FUNCTIONAL DATA ANALYSIS(Room: CLO 101) . . . 91

EO110: MODEL SELECTION WITH APPLICATIONS IN GENETICS(Room: CLO 306) . . . 91

EO080: MULTIVARIATE SURVIVAL MODELS(Room: Woburn) . . . 92

EO340: DESIGN AND ANALYSIS OF CLINICAL TRIALS(Room: CLO 204) . . . 93

EO112: RECENT ADVANCES IN TIME SERIES ANALYSIS(Room: Torrington) . . . 93

EO611: STATISTICAL METHODS FOR IMPERFECT DATA(Room: Athlone) . . . 94

EO328: GRAPHICAL MODELS AND CAUSALITY(Room: Bloomsbury) . . . 94

EO122: METHODS AND MODELS FOR SOCIAL NETWORKS DATA(Room: Holden) . . . 95

EO598: MATRIX COMPUTATIONS AND PARALLELISM IN STATISTICS(Room: G21A) . . . 96

Parallel Session H – CFE-CMStatistics (Sunday 13.12.2015 at 10:55 - 13:00) 97 CI022: SPECIAL SESSION ON MODELLING HETEROSKEDASTICITY(Room: Beveridge Hall) . . . 97

CO584: EMPIRICAL MACROECONOMICS(Room: Holden) . . . 97

CO641: MODELLING AND FORECASTING CYCLICAL FLUCTUATIONSII (Room: Woburn) . . . 98

CO382: NEW DEVELOPMENTS IN FINANCIAL TIME SERIES ANALYSIS(Room: Chancellor’s Hall) . . . 99

CO364: MEASURING SYSTEMIC RISK(Room: Court) . . . 99

CO576: NONSTATIONARY TIME SERIES AND PANELS(Room: Bedford) . . . 100

CO408: MONITORING AND TRACKING DEPENDENCE(Room: SH349) . . . 101

CO376: QUANTILE REGRESSION IN FINANCE AND ECONOMICS(Room: Bloomsbury) . . . 102

CO504: REGIME SWITCHING,FILTERING,AND PORTFOLIO OPTIMIZATION(Room: Torrington) . . . 102

CO358: NUMERICAL METHODS AND ESTIMATION OFDSGEMODELS(Room: Gordon) . . . 103

CO360: ESTIMATION AND INFERENCE IN LONG MEMORY PROCESSES(Room: Montague) . . . 104

CO448: MACROECONOMIC UNCERTAINTY AND POLICY(Room: Jessel) . . . 104

CO516: RISK AND VOLATILITY MODELLING(Room: Athlone) . . . 105

CO286: FINANCIAL TIME SERIES(Room: G21A) . . . 106

CO386: INDIRECT INFERENCE AND RELATED METHODS(Room: Senate) . . . 106

CP002: POSTERSESSION(Room: Macmillan Hall and Crush Hall ) . . . 107

EI012: SPECIAL SESSION ON OPTIMAL EXPERIMENTAL DESIGN(Room: CLO B01) . . . 109

EO246: MULTIVARIATE SURVIVAL DATA WITH LATENT VARIABLES(Room: MAL 421) . . . 109

EO278: INFERENCE FOR STOCHASTIC PROCESSES(Room: MAL B29) . . . 110

EO216: CHANGE POINT ANALYSIS(Room: MAL 402) . . . 111

EO609: MIXTURE MODELS FOR NON-VECTORIAL DATA(Room: MAL B30) . . . 112

EO102: MULTIVARIATE EXTREMES(Room: MAL B35) . . . 112

EO108: OUTLIERS AND ROBUSTNESS IN TIME SERIES(Room: MAL B36) . . . 113

EO232: ADVANCES IN SURVIVAL AND RELIABILITY(Room: MAL B20) . . . 114

EO228: HIGH-DIMENSIONAL PEAKS OVER THRESHOLDS METHODS(Room: MAL B33) . . . 115

EO274: QUANTILE REGRESSION IN HIGH DIMENSION(Room: MAL 541) . . . 115

EO254: HEALTHECONOMICS(Room: MAL 540) . . . 116

EO042: RECENT ADVANCES ON FUNCTIONAL DATA ANALYSIS AND APPLICATIONS(Room: CLO 102) . . . 117

EO338: STATISTICAL BOOSTING(Room: MAL 415) . . . 117

EO186: AUTOMATIC BANDWIDTH SELECTION FOR KERNEL ESTIMATORS(Room: MAL 414) . . . 118

EO054: MULTIVARIATE ANALYSIS(Room: CLO 203) . . . 119

EO256: ROBUST STATISTICS INR (Room: MAL B34) . . . 120

EO607: STATISTICAL ASPECTS OF TOPOLOGICAL DATA ANALYSIS(Room: CLO 306) . . . 120

EO202: APPLICATIONS OF FUNCTIONAL DATA ANALYSIS(Room: CLO 101) . . . 121

EO078: INFERENCE FOR LARGE MATRICES WITH MODERN APPLICATIONS(Room: MAL G15) . . . 122

EG015: CONTRIBUTIONS IN TIME SERIES AND TIME-VARYING COEFFICIENTS(Room: CLO 204) . . . 122

EG013: CONTRIBUTIONS ON DEPENDENCE MODELLING(Room: MAL 539) . . . 123

Parallel Session I – CFE-CMStatistics (Sunday 13.12.2015 at 14:30 - 16:10) 125 CI020: SPECIAL SESSION ON ADVANCES IN DYNAMIC FACTOR ANALYSIS(Room: Beveridge Hall) . . . 125

CO536: FINANCIAL CONDITIONS INDICES(Room: Bedford) . . . 125

CO480: ADVANCES IN FINANCIAL FORECASTING(Room: SH349) . . . 126

CO426: COMMON FEATURES IN MACROECONOMICS AND FINANCE(Room: Holden) . . . 126

CO384: MULTIVARIATE METHODS FOR ECONOMIC AND FINANCIAL TIME SERIES(Room: Senate) . . . 127

CO380: BAYESIAN NONLINEAR ECONOMETRICS(Room: Court) . . . 127

CO396: WAVELET METHODS IN ECONOMICS(Room: Gordon) . . . 128

CO500: VOLATILITY MODELS(Room: Torrington) . . . 128

CO476: EMPIRICAL MACRO-FINANCE(Room: Jessel) . . . 129

CO522: TOPICS IN MULTIPLE TIME SERIES ANALYSIS(Room: Montague) . . . 130

CO368: BOOTSTRAP METHODS FOR TIME SERIES(Room: Chancellor’s Hall) . . . 130

CO356: MODELLING AND FORECASTING TEMPORAL DATA(Room: G21A) . . . 131

CO586: VOLATILITY MODELS AND THEIR APPLICATIONS(Room: Woburn) . . . 131

CO558: BEHAVIOURAL AND EMOTIONAL FINANCE: THEORY AND EVIDENCEI (Room: Bloomsbury) . . . 132

CC025: CONTRIBUTIONS IN PANEL DATA(Room: Athlone) . . . 133

EO132: STATISTICS IN IMAGING(Room: CLO 204) . . . 133

EO220: TEXT MINING,NETWORK DATA AND MIXTURE MODELING(Room: MAL 539) . . . 134

EO647: DEPENDENCE MODELS AND COPULASIII (Room: MAL B34) . . . 134

EO258: ROBUST METHODS(Room: MAL B36) . . . 135

EO272: MULTIVARIATEANALYSIS AND CHANGE-POINT DETECTION(Room: MAL 402) . . . 136

EO084: MULTIPLE TESTSII (Room: MAL B35) . . . 136

EO324: ANALYSIS OF COMPLEX TIME SERIES DATA(Room: MAL B30) . . . 137

EO198: IN-SAMPLEFORECASTING IN INSURANCE,LONGEVITY AND THE LABOUR MARKET(Room: CLO 203) . . . 137

EO318: STATISTICAL INFERENCE FOR BIOMEDICAL DATA(Room: CLO 306) . . . 138

EO088: FUNCTIONAL DATA AND RELATED TOPICS(Room: CLO B01) . . . 139

EO156: SPATIAL STATISTICS AND ECONOMETRICS(Room: MAL 421) . . . 139

EO128: STATISTICS IN FUNCTIONAL ANDHILBERT SPACES (Room: CLO 101) . . . 140

EO064: CALIBRATION OF MISSPECIFIEDBAYESIAN MODELS(Room: MAL B20) . . . 140

EO118: STATISTICAL REGULARIZATION(Room: MAL 414) . . . 141

EO212: CAUSAL DISCOVERY IN PRACTICE: ADVANCES AND CHALLENGES(Room: MAL G15) . . . 141

EO260: MODEL SELECTION AND COMPARISON IN HIGHLY-STRUCTURED SETTINGS(Room: MAL B33) . . . 142

EO264: DIRECTIONAL STATISTICS (Room: CLO 102) . . . 143

EG135: CONTRIBUTIONS IN EXTREME VALUES THEORY AND APPLICATIONS(Room: MAL 415) . . . 143

EC034: CONTRIBUTIONS IN METHODOLOGICAL STATISTICS(Room: MAL B29) . . . 144

EG055: CONTRIBUTIONS IN MULTIVARIATE ANALYSIS(Room: MAL 540) . . . 145

EC035: CONTRIBUTIONS IN COMPUTATIONAL STATISTICS(Room: MAL 541) . . . 145

Parallel Session J – CFE-CMStatistics (Sunday 13.12.2015 at 16:40 - 18:20) 147 CO458: MODELLING AND FORECASTING CYCLICAL FLUCTUATIONSI (Room: MAL G15) . . . 147

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CO562: RECENT ADVANCES INBAYESIAN COMPUTATIONAL METHODS(Room: MAL B20) . . . 147

CO554: MIXED-FREQUENCY TIME SERIES(Room: MAL 414) . . . 148

CO552: APPLIED ECONOMETRICS(Room: MAL B33) . . . 148

CO540: ECONOMETRICS OF DYNAMIC PORTFOLIOS AND RISK(Room: MAL B35) . . . 149

CO414: DENSITY REGRESSION,TREE MODELS,AND VARIABLE SELECTION(Room: MAL B34) . . . 150

CO657: REGIME CHANGE MODELING IN ECONOMICS AND FINANCEII (Room: MAL B36) . . . 150

CO374: NON-LINEAR TIME SERIES MODELS(Room: MAL 415) . . . 151

CO432: VOLATILITY MODELLING IN FINANCIAL MARKETS(Room: MAL B30) . . . 151

CG493: CONTRIBUTIONS ONVARAND EXTREME VALUE THEORY(Room: MAL 540) . . . 152

CG377: CONTRIBUTIONS ON QUANTILE REGRESSION IN FINANCE AND ECONOMICS(Room: MAL 421) . . . 152

CG349: CONTRIBUTIONS ON TIME-VAYING PARAMETERS ANDKALMAN FILTER(Room: MAL 539) . . . 153

CC030: CONSTRIBUTIONS IN FINANCIAL APPLICATIONS(Room: MAL 541) . . . 154

CG533: CONTRIBUTIONS ON SYSTEMIC RISK(Room: MAL B29) . . . 154

CG353: CONTRIBUTIONS ON TIME SERIES(Room: MAL 402) . . . 155

EI014: SPECIAL SESSION IN HONOR OFH. OJA’S65TH BIRTHDAY(Room: Beveridge Hall) . . . 155

EO252: STATISTICAL METHODS FOR COMPLEX LONGITUDINAL DATA(Room: Woburn) . . . 156

EO592: ADVANCES IN FUNCTIONAL DATA ANALYSIS(Room: CLO 101) . . . 156

EO124: TIME SERIES: NONPARAMETRICS AND EXTREMES(Room: Jessel) . . . 157

EO310: MODERN STATISTICAL REGRESSION(Room: Torrington) . . . 158

EO154: METHODS AND COMPUTATIONS FOR DEPENDENCE MODELLING(Room: Bedford) . . . 158

EO633: BAYESIAN SEMI-AND NONPARAMETRIC MODELLINGII (Room: Court) . . . 159

EO613: INFERENCE IN LATENT VARIABLE MODELS(Room: Senate) . . . 160

EO244: SEMI-AND NON-PARAMETRIC ESTIMATION OF FRONTIERS (Room: CLO 203) . . . 160

EO086: STATISTICAL ANALYSIS OF LONG-RANGE DEPENDENT DATA(Room: G21A) . . . 161

EO120: ON QUANTILES,EXPECTILES AND EXTREMILES(Room: Chancellor’s Hall) . . . 161

EO188: COMPUTATIONAL ASPECTS OF ESTIMATING STOCHASTIC PROCESSES(Room: Gordon) . . . 162

EO178: ROBUST STATISTICAL MODELLING(Room: Montague) . . . 163

EO268: ANALYSIS OF DATA FROM COMPLEX SURVEYS(Room: SH349) . . . 163

EO332: STATISTICS FOR FUZZY-OR SET-VALUED DATAII (Room: Athlone) . . . 164

EO230: SIMPSON’S PARADOX (Room: Bloomsbury) . . . 164

EO334: STRUCTURED DATA ANAYSIS(Room: CLO 306) . . . 165

EO200: NONPARAMETRIC FUNCTIONAL DATA ANALYSIS(Room: CLO B01) . . . 166

EG127: CONTRIBUTIONS ON LIKELIHOOD(Room: Holden) . . . 166

EG297: CONTRIBUTIONS ON MISSING DATA(Room: CLO 204) . . . 167

EG045: CONTRIBUTIONS ON COMPUTATIONAL METHODS FOR REGRESSION MODELS(Room: CLO 102) . . . 167

EP001: POSTERSESSIONII (Room: Macmillan Hall and Crush Hall ) . . . 168

Parallel Session L – CFE-CMStatistics (Monday 14.12.2015 at 08:30 - 10:10) 172 CO492: ANALYSIS OF EXTREMES AND DEPENDENCE(Room: MAL B20) . . . 172

CO498: FINANCIAL TIME SERIES AND RISK PREMIA(Room: MAL 633) . . . 172

CO462: EARLY WARNING SYSTEM AND SYSTEMIC RISK INDICATORSII (Room: MAL G15) . . . 173

CO350: FINANCIAL ECONOMETRICS(Room: MAL 539) . . . 173

CO400: BAYESIAN ECONOMETRICS(Room: MAL 532) . . . 174

CO372: FINANCIAL NETWORKS:SYSTEMIC COEVOLUTION OF FINANCIAL SYSTEMS(Room: MAL 402) . . . 174

CO412: MIXTURE MODELS,IDENTIFICATION,AND INDEPENDENT COMPONENTS(Room: MAL 541) . . . 175

CO582: RASTANEWSSPECIAL SESSION ON VOLATILITY AND TIME SERIES MODELING(Room: MAL 421) . . . 176

CO366: ENERGY AND MACROECONOMICS(Room: MAL 632) . . . 176

CG019: CONTRIBUTIONS ON BOOTSTRAP INFERENCE(Room: MAL 540) . . . 177

EO044: BIG DATA ANALYSIS: STATISTICAL METHODOLOGIES AND APPLICATIONS(Room: Holden) . . . 177

EO320: INFLUENCE AND ROBUSTNESS IN STATISTICAL MODELING(Room: Senate) . . . 178

EO164: BAYESIAN SEMI-AND NONPARAMETRIC MODELLINGIII (Room: Court) . . . 179

EO330: COPULA MODELS AND APPLICATIONS(Room: Chancellor’s Hall) . . . 179

EO066: NON-AND SEMI-PARAMETRIC FUNCTIONAL STATISTICSI (Room: CLO B01) . . . 180

EO162: ANALYSIS OF TOROIDAL AND CYLINDRICAL DATA(Room: Beveridge Hall) . . . 180

EO172: STATISTICAL INFERENCE AND APPLICATION IN FUNCTIONAL ANALYSIS(Room: Woburn) . . . 181

EO194: POPULATION MODELS: METHODS AND COMPUTATIONSI (Room: Bedford) . . . 182

EO621: COVARIANCE,VOLATILITY,AND EFFICIENT INFERENCE(Room: Gordon) . . . 182

EO292: DYNAMIC FACTOR MODELS AND SUFFICIENT DIMENSION REDUCTION(Room: Montague) . . . 183

EO629: MIXTURE MODEL AND VARIABLE SELECTION(Room: Jessel) . . . 183

EO056: SURVEY SAMPLING FOR FUNCTIONAL DATA AND/OR BIG DATA(Room: Bloomsbury) . . . 184

EO218: ANALYSIS OF SURVEY DATA FOR UNPLANNED DOMAIN(Room: SH349) . . . 184

EO106: ADVANCES IN FUZZY CLUSTERING(Room: Torrington) . . . 185

EG111: CONTRIBUTIONS ONLASSO(Room: Athlone) . . . 185

EG113: CONTRIBUTIONS IN TIME SERIES ANALYSISI (Room: G21A) . . . 186

Parallel Session M – CFE-CMStatistics (Monday 14.12.2015 at 10:40 - 11:55) 188 CO546: TIME-VARYING PARAMETERS(Room: Holden) . . . 188

CO440: ANALYSIS OF HIGH-DIMENSIONAL TIME SERIESII (Room: Senate) . . . 188

CO472: NONREGULAR PANEL DATA AND TIME SERIES MODELS(Room: SH349) . . . 189

CO643: EARLY WARNING SYSTEM AND SYSTEMIC RISK INDICATORSIII (Room: Athlone) . . . 189

CO488: FILTERS WAVELETS AND SIGNALS (Room: Gordon) . . . 190

CO486: SEQUENTIALMONTECARLO METHODS IN ECONOMETRICS(Room: Montague) . . . 190

CO474: DATA SCIENCE AND PLATFORM DESIGN(Room: Torrington) . . . 191

CO659: BEHAVIOURAL AND EMOTIONAL FINANCE: THEORY AND EVIDENCEII (Room: Bloomsbury) . . . 191

CO052: HIGH DIMENSIONAL MODELS AND NETWORKS IN MACROECONOMICS AND FINANCE(Room: Jessel) . . . 192

CG555: CONTRIBUTIONS ONGARCHMODELS(Room: Bedford) . . . 192

EO649: OBJECT ORIENTED DATA ANALYSISII (Room: Beveridge Hall) . . . 193

EO280: NETWORK INFERENCE(Room: MAL 633) . . . 193

EO344: SEMI-NON-PARAMETRIC STATISTICS WITH HIGH-DIMENSIONALITY(Room: MAL 539) . . . 193

EO270: STATISTICAL ANALYSIS OF TEXT(Room: MAL 541) . . . 194

EO296: ROBUSTNESS AND MISSING DATA(Room: MAL 532) . . . 194

EO619: RISK MANAGEMENT AND DEPENDENCE MODELLING(Room: Chancellor’s Hall) . . . 195

EO346: CLUSTERWISE METHODS(Room: MAL 540) . . . 195

EO250: COMBINATORIAL OPTIMIZATION FOR GRAPHICAL MODEL SELECTIONI (Room: MAL G15) . . . 196

EO298: RECENT DEVELOPMENTS INBAYESIAN QUANTILE REGRESSION(Room: Court) . . . 196

EO062: HIGH-DIMENSIONAL LATENT VARIABLE MODELS(Room: G21A) . . . 197

EO655: POPULATION MODELS: METHODS AND COMPUTATIONSII (Room: MAL 421) . . . 197

EO300: DEPENDENCE MODELS IN BIOSTATISTICS AND BIOINFORMATICS(Room: MAL 402) . . . 197

EO242: ADVANCED FUNCTIONAL DATA ANALYSIS(Room: CLO B01) . . . 198

EO284: RECENT DEVELOPMENTS IN SEMIPARAMETRIC ANALYSIS OF SURVIVAL DATA(Room: Woburn) . . . 198

Parallel Session O – CFE-CMStatistics (Monday 14.12.2015 at 14:30 - 15:50) 200 CG507: CONTRIBUTIONS ON VOLATILITY(Room: Woburn) . . . 200

CG287: CONTRIBUTIONS IN TIME SERIES AND APPLICATIONS(Room: Bedford) . . . 200

CG531: CONTRIBUTIONS IN PANEL DATA ECONOMETRICS (Room: Bloomsbury) . . . 201

CG485: CONTRIBUTIONS ON FISCAL POLICY(Room: Holden) . . . 201

CG597: CONTRIBUTIONS ON TEMPORAL AND SPATIAL ECONOMETRIC(Room: Chancellor’s Hall) . . . 202

CC027: CONTRIBUTIONS INBAYESIAN ECONOMETRICS(Room: Montague) . . . 203

CG569: CONTRIBUTIONS ON PRICING(Room: Athlone) . . . 204

CG359: CONTRIBUTIONS ON THE ESTIMATION OFDSGEMODELS(Room: SH349) . . . 204

CG553: CONTRIBUTIONS ON APPLIED ECONOMETRICS AND FINANCE(Room: Court) . . . 205

CG483: CONTRIBUTIONS ON FORECASTING (Room: Senate) . . . 206

CG395: CONTRIBUTIONS ON HIGH-FRECUENCY DATA(Room: Jessel) . . . 206

CG626: CONTRIBUTIONS ON CREDIT RISK MODELLING(Room: Torrington) . . . 207

CC029: CONTRIBUTIONS ON ASYMPTOTICS IN ECONOMETRICS(Room: Gordon) . . . 208

CC024: CONTRIBUTIONS IN FINANCIAL ECONOMETRICS(Room: G21A) . . . 208

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EO306: ESTIMATION OF LARGE RANDOM MATRICES: THEORIES AND APPLICATIONS(Room: MAL 541) . . . 209

EO158: RECENT ADVANCES IN QUANTILE REGRESSION(Room: MAL 633) . . . 209

EO236: NETWORK STATISTICS(Room: MAL 421) . . . 210

EO104: COMPLEX DATA ANALYSIS: THEORY AND METHODS(Room: MAL B20) . . . 210

EO661: COMBINATORIAL OPTIMIZATION FOR GRAPHICAL MODEL SELECTIONII (Room: MAL G15) . . . 211

EO316: SHAPE-CONSTRAINED INFERENCE AND OTHER NON-REGULAR PROBLEMS(Room: MAL 632) . . . 211

EO190: ADVANCES IN MIXTURE MODELLING(Room: MAL 540) . . . 211

EO304: HIGH-DIMENSIONAL DATA ANALYSIS BEYOND LINEAR MODELS(Room: MAL 532) . . . 212

EG067: CONTRIBUTIONS ON COMPLEX DATA(Room: MAL 402) . . . 212

EC037: CONTRIBUTIONS ON LINEAR MODELS(Room: MAL 539) . . . 213

Parallel Session P – CFE-CMStatistics (Monday 14.12.2015 at 16:20 - 18:00) 214 CO460: SEASONAL ADJUSTMENT AND RECONCILIATION(Room: MAL G15) . . . 214

CG053: CONTRIBUTIONS ON BUSINESS CYCLE(Room: MAL 532) . . . 214

CG357: CONTRIBUTIONS ON EVALUATION OF FORECASTING(Room: MAL 632) . . . 215

CC028: CONTRIBUTIONS IN APPLIED ECONOMETRICS(Room: MAL 633) . . . 216

CG351: CONTRIBUTIONS ONMCMCANDBAYESIAN ECONOMETRICS(Room: MAL 421) . . . 217

CG021: CONTRIBUTIONS IN DYNAMIC FACTOR ANALYSIS(Room: MAL 541) . . . 217

CG457: CONTRIBUTIONS IN INFLATION ANALYSIS AND FORECASTING(Room: MAL 540) . . . 218

CC026: CONTRIBUTIONS IN TIME SERIES ECONOMETRICS(Room: MAL 402) . . . 219

CG023: CONTRIBUTIONS ON STOCHASTIC VOLATILITY (Room: MAL 539) . . . 220

EO262: NEW TRENDS IN SURVIVAL ANALYSIS(Room: Beveridge Hall) . . . 220

EO651: NON-AND SEMI-PARAMETRIC FUNCTIONAL STATISTICSII (Room: Woburn) . . . 221

EC032: CONTRIBUTIONS IN DIMENSION REDUCTION(Room: Bloomsbury) . . . 222

EG630: CONTRIBUTIONS ON VARIABLE SELECTION(Room: Holden) . . . 222

EG652: CONTRIBUTIONS ON STATISTICAL MODELLING FOR ECONOMICS AND FINANCE(Room: G21A) . . . 223

EG145: CONTRIBUTIONS ON SPATIAL AND SPATIO-TEMPORAL PROCESSES(Room: Gordon) . . . 224

EC033: CONTRIBUTIONS IN ROBUST STATISTICS(Room: Senate) . . . 225

EG347: CONTRIBUTIONS ON CLUSTERING AND CLASSIFICATION(Room: Jessel) . . . 226

EG169: CONTRIBUTIONS IN STATISTICAL MODELING AND COMPUTATION(Room: SH349) . . . 226

EG097: CONTRIBUTIONS ON DEPENDENCE MODELS AND COPULAS(Room: Chancellor’s Hall) . . . 227

EG009: CONTRIBUTIONS ON STATISTICS FOR FUNCTIONAL DATA(Room: Montague) . . . 228

EG325: CONTRIBUTIONS IN TIME SERIES ANALYSISII (Room: Bedford) . . . 229

EG159: CONTRIBUTIONS ON QUANTILE REGRESSION(Room: Torrington) . . . 229

EG233: CONTRIBUTIONS ON CONTROL AND RELIABILITY(Room: Athlone) . . . 230

EC031: CONTRIBUTIONS ONBAYESIAN METHODS(Room: Court) . . . 230

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EO178 Room Montague ROBUST STATISTICAL MODELLING Chair: Alfio Marazzi

EO0740: Higher-order adjustments of the signed scoring rule root statistic Presenter: Laura Ventura, University of Padova, Italy

Co-authors: Valentina Mameli, Monica Musio

Proper scoring rules can be used as an alternative to the full likelihood, when the aim is to increase the robustness. Proper scoring rule inference is usually based on the first-order approximations to the distribution of the scoring rule estimator or of the scoring rule ratio test statistic. However, several examples illustrate the inaccuracy of first-order methods, even in models with a scalar parameter, when the sample size is small or moderate. Analytical higher-order asymptotic expansions for proper scoring rules, generalizing results for likelihood quantities but allowing for the failure of the information identity, have been previously discussed. However, the calculation of the quantities involved in the analytical adjustments of the signed and signed profile scoring rule root statistic is cumbersome, even for simple models. The aim is to discuss the alternative approach to higher-order adjustments, based on a parametric bootstrap.

EO0807: Robust state space models

Presenter: Eva Cantoni, University of Geneva, Switzerland

Co-authors: William Aeberhard, Chris Field, Joanna Mills Flemming, Ximing Xu

In fishery science, state space models are often used because they explicitly include both process error in the dynamics and observation error in the data. The estimation of the parameters of the model is usually performed by maximum (marginal) likelihood. But the use of robust statistical methodologies is essential because the data being modelled in fisheries science and management may be subject to large measurement error. In addition, the state and observation processes are only approximations with the consequence that there may well be outlying observations or deviating substructure. We propose a way to robustify the estimation of the parameters of a state space model, which modifies the objective function to introduce robustness. The evaluation of the new marginal objective function being computationally challenging, we use software implementing automatic differentiation to reach our goal. We show simulation results supporting our proposal and applications to areal dataset.

EO1100: Robust estimation for mixtures of Gaussian factor analyzers Presenter: Alfonso Gordaliza, Universidad de Valladolid, Spain

Co-authors: Luis Angel Garcia-Escudero, Francesca Greselin, Salvatore Ingrassia, Agustin Mayo-Iscar

Mixtures of Gaussian factors are powerful tools for modeling an unobserved heterogeneous population, offering at the same time dimension reduction and model-based clustering. Unfortunately, the high prevalence of spurious solutions and the disturbing effects of outlying observations, along maximum likelihood estimation, open serious issues. We consider restrictions for the component covariances, to avoid spurious solutions, and trimming, to provide robustness against violations of normality assumptions of the underlying latent factors. A detailed AECM algorithm for this new approach is presented. Simulation results and an application to the AIS dataset show the aim and effectiveness of the proposed methodology. EO1323: Robust Bayesian regression

Presenter: Marco Riani, University of Parma, Italy Co-authors: Anthony Atkinson, Aldo Corbellini

The forward search provides a flexible and informative form of robust regression. We describe two ways of introducing prior information into the regression model used in the search, either through fictitious observations or through prior distributions of the parameters. The relationship between the two methods is established. The extension to the forward search is not entirely straightforward, requiring weighted regression. Forward plots are used to exhibit the effect of correct and incorrect prior information on inferences. Analysis of the 546 observations of the Windsor housing data shows the presence of several outliers and illustrates the effect of incorrect prior specification.

EO268 Room SH349 ANALYSIS OF DATA FROM COMPLEX SURVEYS Chair: Paola Vicard

EO0822: Empirical likelihood approaches under complex sampling Presenter: Yves Berger, University of Southampton, United Kingdom

Data are often collected with unequal probabilities from stratified population. Empirical Likelihood is widely used in mainstream statistics. We propose a new empirical likelihood approach for sample data selected with unequal probabilities. In this situation, the standard empirical likelihood approach cannot be applied. Under a set of regularity conditions, the empirical log-likelihood function has an asymptotic chi-squared distribution. The proposed approach does not rely on variance estimates, re-sampling or joint-inclusion probabilities, even when the parameter of interest is not linear and does not have a normal distribution. An alternative approach is the pseudoempirical log-likelihood function which is not entirely appealing from a theoretical point of view, because it relies on a parameter (the design effect) which need to be estimated. A previous approach does not rely on design effect, and can be more accurate than the adjusted pseudoempirical approach. Standard confidence intervals based on variance estimates may give poor coverages, when normality does not hold. This can be the case with skewed data and outlying values. The proposed empirical likelihood confidence interval has good coverages and balanced tail errors even when the sampling distribution of the point estimator is not normal.

EO0610: Resampling from finite populations: An empirical process approach Presenter: Pier Luigi Conti, Sapienza University of Rome, Italy

Co-authors: Daniela Marella, Fulvia Fulvia Mecatti

In sampling finite populations, several resampling schemes have been proposed. The common starting point is that, despite its excellent asymptotic properties, Efron’s original bootstrap only works for i.i.d. data. This condition is not met in sampling finite populations, because of the dependence among units due to the sampling design. Hence, adaptations are needed to account for the non i.i.d. nature of data. Different versions of the standard bootstrap algorithm have been proposed in the literature. A new class of resampling procedures for finite populations is defined. Such a class appears to provide a unified framework that allows for encompassing other resampling algorithms already proposed. Its main theoretical justification is based on asymptotic, large sample arguments: the probability distribution of the original statistic and its approximation based on resampling converge to the same limit. Technically speaking, it is shown that a “finite population version” of the empirical process and its “resampled form” weakly converge to the same limiting Gaussian process. In a sense, this justification is similar to those given for classical bootstrap.

EO0619: PC algorithm for complex survey data via resampling Presenter: Daniela Marella, University Roma Tre, Italy Co-authors: Paola Vicard

The PC algorithm is one of the main methods for learning the structure of a Bayesian network from sample data. The algorithm uses conditional independence tests for model selection in graphical modeling and it is based on assumption of independent and identically distributed observations (i.i.d). The i.i.d. assumption is almost never valid for sample surveys data since most of the commonly used survey designs employ stratification and/or cluster sampling and/or unequal selection probabilities. The impact of complex design on i.i.d. based procedures can be very severe leading

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