International Statistical Review

Volume 82, n° 3, December 2014

Original Articles

• LOH Wei-Yin - Fifty Years of Classification and Regression Trees, pp. 329–348

Discussions on Fifty Years of Classification and Regression Trees

• STROBL Carolin - Discussion, pp. 349–352
• CIAMPI Antonio - Discussion, pp. 352–357
• AHN Hongshik - Discussion, pp. 357–359
• SONG Chi, ZHANG Heping - Discussion, pp. 359–361
• RUSCH Thomas, ZEILEIS Achim - Discussion, pp. 361–367

Rejoinder to Fifty Years of Classification and Regression Trees

• LOH Wei-Yin - Rejoinder, pp. 367–370   

Original Articles

• CHIPPERFIELD James O., O'KEEFE Christine M. - Disclosure-protected Inference Using Generalised Linear Models, pp. 371–391
• GRIENTSCHNIG Dieter, LIRA Ignacio - Combining Probability Distributions by Multiplication in Metrology: A Viable Method? pp. 392–410
• FUNG Thomas, WANG Joanna J.J., SENETA Eugene - The Deviance Information Criterion in Comparison of Normal Mixing Models, pp. 411–421
• BOISBUNON Aurélie, CANU Stéphane, FOURDRINIER Dominique, STRAWDERMAN William, WELLS Martin T. - Akaike's Information Criterion, Cp and Estimators of Loss for Elliptically Symmetric Distributions, pp. 422–439
• LEY Christophe, VERDEBOUT Thomas - Local Powers of Optimal One-sample and Multi-sample Tests for the Concentration of Fisher-von Mises-Langevin Distributions (pages 440–456)
• BICKEL David R. - Small-scale Inference: Empirical Bayes and Confidence Methods for as Few as a Single Comparison, pp. 457–476  

Book Reviews

• O'BRIEN Carl M. - Computational Approaches to Studying the Co-evolution of Networks and Behavior in Social Dilemmas by Rense Corten, pp. 477–478
• DRAPER Norman R. - Optimal Mixture Experiments by Bikas Kumar Sinha, Nripes Kumar Mandal, Manisha Pal, Premadhis Das, p. 478
• BRAUN Thomas M. - Genomic Clinical Trials and Predictive Medicine by Richard M. Simon, pp. 478–479
• DRAPER Norman R. - Statistics in Action: A Canadian Outlook by Jerald F. Lawless, pp. 479–480
• MUKHOPADHYAY Purna - Clinical Trials with Missing Data: A Guide for Practitioners by Michael O'Kelly and Bohdana Ratitch, pp. 480–481
• BANERJEE Moulinath - Stochastic Modeling and Mathematical Statistics by Francisco J. Samaniego, pp. 481–483
• DURANTE Fabrizio - The Skew-Normal and Related Families by Adelchi Azzalini, p. 483
• MERIKOSKI Jorma K. - Examples and Problems in Mathematical Statistics by Shelemyahu Zacks, pp. 483–485
• LINDE Peter - Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys by Guo-Liang Tian and Man-Lai Tang, pp. 485–486
• O'BRIEN Carl M. - Functional and Phylogenetic Ecology in R by Nathan G. Swenson, pp.  486–487
• O'BRIEN Carl M. - Statistical Applications for Environmental Analysis and Risk Assessment by Joseph Ofungwu, pp. 487–488
• CHAKRABORTY Sounak - Bayesian Essentials with R by Jean-Michel Marin and Christian P. Robert, pp. 488–490

(résumés du n° 3/2014)

Volume 82, n° 2, August 2014

Interview

• GENEST Christian, NESLEHOVA Johanna G. - A Conversation with James O. Ramsay,  pp. 161–183

Original Articles

• GROLEMUND Garrett, WICKHAM Hadley - A Cognitive Interpretation of Data Analysis, pp. 184–204

Discussions on A Cognitive Interpretation of Data Analysis

• HUBER Peter J. - Discussion, pp. 205–207
• WILKINSON Leland - Discussion, pp. 208–210

Rejoinder to A Cognitive Interpretation of Data Analysis

• GROLEMUND Garrett, WICKHAM Hadley - Rejoinder, pp. 210–213

Original Articles

• KULINSKAYA Elena, MORGENTHALER Stephan, STAUDTE Robert G. - Combining Statistical Evidence, pp. 214–242   
• KÖHLER Max, SCHINDLER Anja, SPERLICH Stefan - A Review and Comparison of Bandwidth Selection Methods for Kernel Regression, pp. 243–274
• SWIHART Bruce J., CAFFO Brian S., CRAINICEANU Ciprian M. - A Unifying Framework for Marginalised Random-Intercept Models of Correlated Binary Outcomes, pp. 275–295
• MacDONALD Iain L. - Numerical Maximisation of Likelihood: A Neglected Alternative to EM? pp. 296–308   

Book Reviews

• GRUBER Martin H. J. - Matrix Algebra for Linear Models, p. 309
• JUNG Sin-Ho - Randomized Phase II Cancer Clinical Trials, pp. 309–311
• FRICKER Ronald D. - Introduction to Statistical Methods for Biosurveillance , p. 312
• BROEMELING Lyle D. - Bayesian Methods in Epidemiology, pp. 312–313
• MARCHI Max, ALBERT Jim - Analyzing Baseball Data with R, pp. 313–315
• GALECKI Andrzej, BURZYKOWSKI Tomasz - Linear Mixed-Effects Models Using R, pp. 315–317
• ARNER Magnus - Statistical Robust Design: An Industrial Perspective, pp. 317–318
• KROESE Dirk P., CHAN Joshua C. C. - Statistical Modeling and Computation, pp. 318–319
• BERZUINI Carlo, DAWID Philip, BERNARDINELLI Luisa - Causality: Statistical Perspectives and Applications, pp. 319–320
• DAVINO Cristina, FURNO Marilena, VISTOCCO Domenico - Quantile Regression: Theory and Applications, pp. 320–322
• WOODWARD Wayne A., GRAY Henry L., ELLIOT Alan C. - Applied Time Series Analysis, pp. 322–323
• SUN Jianguo, ZHAO Xingqiu - Statistical Analysis of Panel Count Data, p. 324
• TAKEZAWA Kunio - Learning Regression Analysis by Simulation, p. 325
• KALTENBACH Hans-Michael - A Concise Guide to Statistics, p. 326
• FABER Michael Havbro - Statistics and Probability Theory: In Pursuit of Engineering Decision Support, p. 327

(résumés du n° 2/2014)

Volume 82, n° 1, April 2014

• STIGLER Stephen - Soft Questions, Hard Answers: Jacob Bernoulli's Probability in Historical Context, pp. 1–16 (texte)
• SENETA Eugene - On the Bicentenary in St. Petersburg of Jacob Bernoulli's Theorem,  pp. 17–26 (texte)
• SYLLA Edith Dudley - Tercentenary of Ars Conjectandi (1713): Jacob Bernoulli and the Founding of Mathematical Probability, pp. 27–45 (texte)
• LANGE Kenneth, CHI Eric C., ZHOU Hua - A Brief Survey of Modern Optimization for Statisticians, pp. 46–70 (texte)

Discussions on A Brief Survey of Modern Optimization for Statisticians

• ATCHADE Yves, MICHAILIDIS George - Discussion, pp. 71–75 (texte)
• HUNTER David R. - Discussion, pp. 76–79 (texte)
• ROBERT Christian P. - Discussion, pp. 79–81 (texte)

Rejoinder

• LANGE Kenneth, CHI Eric C., ZHOU Hua - Rejoinder, pp. 81–89 (texte)

Original Articles

• HENN Lisa, HODGES James S. - Multiple Local Maxima in Restricted Likelihoods and Posterior Distributions for Mixed Linear Models, pp. 90–105 (texte)
• ZHU Hong - Non-parametric Analysis of Gap Times for Multiple Event Data: An Overview, pp. 106–122 (texte)
• NIEBUHR Tobias, KREISS Jens-Peter - Asymptotics for Autocovariances and Integrated Periodograms for Linear Processes Observed at Lower Frequencies, pp. 123–140 (texte)

Book Reviews (textes)

• VEHKALAHTI Kimmo - Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming by Barbara M. Byrne, pp. 141–142 
• LEPPISAARI Matias - An Introduction to Analysis of Financial Data with R by Ruey S. Tsay, pp. 142–143 
• LIU Shuangzhe - Combinatorial Matrix Theory and Generalized Inverses of Matrices by Ravindra B. Bapat, Steve J. Kirkland, K. Manjunatha Prasad, Simo Puntanen, pp. 143–144 
• LISKI Erkki P. - Log-linear Modeling: Concepts, Interpretation, and Application by Alexander von Eye, Eun-Young Mun, pp. 144–145 
• DURANTE Fabrizio - The R Book, Second Edition by Michael J. Crawley, pp. 145–146
• DURANTE Fabrizio - Advanced Risk Analysis in Engineering Enterprise Systems by Cesar Ariel Pinto, Paul R. Garvey, pp. 146–147
• MAINDONALD John H. - Behavioral Research Data Analysis with R by Yuelin Li, Jonathan Baron, pp. 147–148
• MAINDONALD John H. - A First Course in Probability and Markov Chains by Giuseppe Modica, Laura Poggiolini, p. 148
• LIU Shuangzhe - Formulas Useful for Linear Regression Analysis and Related Matrix Theory: It's Only Formulas But We Like Them by Simo Puntanen, George P. H. Styan, Jarkko Isotalo, pp. 148–149
• JAURI Osmo - An Introduction to Exotic Option Pricing by Peter Buchen, p. 149
• PYNNÖNEN Seppo - Latent Markov Models for Longitudinal Data by Francesco Bartolucci, Alessio Farcomeni, Fulvia Pennoni, p. 150
• PYNNÖNEN Seppo - Current Topics in the Theory and Application of Latent Variable Models by Michael C. Edwards, Robert C. MacCallum (Editors), pp. 150–151
• NORDHAUSEN Klaus - Multiple Imputation and its Application by James R. Carpenter, Michael G. Kenward, pp. 151–152
• NUMMI Tapio - Applied Categorical and Count Data Analysis by Wan Tang, Hua He, Xin M. Tu, pp. 152–153
• PODGORSKI Krzysztof - Advances in Machine Learning and Data Mining for Astronomy edited by Michael J. Way, Jeffrey D. Scargle, Kamal M. Ali, and Ashok N. Srivstava, pp. 153–154
• PODGORSKI Krzysztof - Exercises in Probability: A Guided Tour from Measure Theory to Random Processes,via Conditioning by Loïc Chaumont and Marc Yor, pp. 154–155
• YOUNG G. Alastair - Inference for Functional Data with Applications by Lajos Horváth and Piotr Kokoszka, pp. 155–156
• SENGUPTA Arindam - A Tiny Handbook of R by Mike Allerhand, p. 156
• NORDHAUSEN Klaus - An Introduction to Statistical Learning—with Applications in R by Gareth James, Daniela Witten, Trevor Hastie & Robert Tibshirani, pp. 156–157
• ESPEJO Mariano Ruiz - Handling Missing Data in Ranked Set Sampling R by Carlos N. Bouza-Herrera, pp. 157–158
• SENGUPTA Arindam - A First Course in Machine Learning by Simon Rogers and Mark Girolami, pp. 158–159