International Statistical Review (ISI)
Volume 84, n° 3, December 2016
Original Articles
- YANG Yunwen, WANG Huixia Judy, HE Xuming - Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood, pp. 327–344
Discussions on Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood
- KOENKER Roger - Discussion, pp. 345–349
- HOBERT James P., KHARE Kshitij - Discussion, pp. 349–356
- WANG Lan, SHERWOOD Ben - Discussion, pp. 356–359
- SMITH Luke B. - Discussion, pp. 359–362
- MENG Xiao-Li - Discussion: Should a Working Model Actually Work? pp. 362–367
Rejoinder to Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood
- YANG Yunwen, WANG Huixia Judy, HE Xuming - Rejoinder, pp. 367–370
Original Articles
- FRANKE Beate, PLANTE Jean-François, ROSCHER Ribana, LEE En-shiun Annie, SMYTH Cathal, HATEFI Armin, CHEN Fuqi, GIL Einat, SCHWING Alexander, SELVITELLA Alessandro, HOFFMAN Michael M., GROSSE Roger, HENDRICKS Dieter, REID Nancy - Statistical Inference, Learning and Models in Big Data, pp. 371–389
- SINGPURWALLA Nozer D., ARNOLD Barry C., GASTWIRTH Joseph L., GORDON Anna S., NG Hon Keung Tony - Adversarial and Amiable Inference in Medical Diagnosis, Reliability and Survival Analysis, pp. 390–412
- MENARDI Giovanna - A Review on Modal Clustering, pp. 413–433
- FEUERVERGER Andrey - On Goodness of Fit for Operational Risk, pp. 434–455
- SCHWARTZMAN Armin - Lognormal Distributions and Geometric Averages of Symmetric Positive Definite Matrices, pp. 456–486
- LEE Youngjo, KIM Gwangsu - H-likelihood Predictive Intervals for Unobservables, pp. 487–505
- BABU G. Jogesh, MAHABAL Ashish - Skysurveys, Light Curves and Statistical Challenges, pp. 506–527
- RIDGWAY Jim - Implications of the Data Revolution for Statistics Education, pp. 528–549
Book Reviews
- VAN DE GEER Sara - Estimation and Testing under Sparsity, p. 550
- FULLERTON Andrew S., XU Jun - Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives , pp. 550–551
- JOHNSON Timothy P. - Handbook of Health Survey Methods, pp. 552–553
- VIDAL Rene, MA Yi, SASTRY S. Shankar - Generalised Principal Component Analysis, p. 554
- DURRETT Richard - Branching Process Models of Cancer, pp. 554–555
- CHAPMAN Jixian Wang - Exposure-Response Modelling: Methods and Practical Implementation, pp. 556–557
Volume 84, n° 2, August 2016
Original Articles
- OGRAJENŠEK Irena, GAL Iddo - Enhancing Statistics Education by Including Qualitative Research, pp. 165–178
Discussions on Enhancing Statistics Education by Including Qualitative Research
- HORTON Nicholas Jon - Discussion: Making Progress in a Crowded Market, pp. 179–181
- MENG Xiao-Li - Discussion: The Q-q Dynamic for Deeper Learning and Research, pp. 181–189
- MacKAY Jock - Discussion: Acquiring Statistical Literacy and Thinking, pp. 189–194
- WILD Chris J. - Discussion: Locating Statistics in the World of Finding Out, pp. 194–202
Rejoinder to Enhancing Statistics Education by Including Qualitative Research
- GAL Iddo, OGRAJENŠEK Irena - Rejoinder: More on Enhancing Statistics Education with Qualitative Ideas, pp. 202–209
Interview
- CITRO Constance F. - A Conversation with Katherine K. Wallman, pp. 210–223
Original Articles
- GU Jiaying, KOENKER Roger - On a Problem of Robbins, pp. 224–244
- GARCÍA José, SALMERÓN Román, GARCÍA Catalina, MARTIN María del Mar López - Standardization of Variables and Collinearity Diagnostic in Ridge Regression, pp. 245–266
- LA VECCHIA Davide - Stable Asymptotics for M-estimators, pp. 267–290
- BOTT Ann-Kathrin, KOHLER Michael - Adaptive Estimation of a Conditional Density, pp. 291–316
Book Reviews
- PODGÓRSKI Krzysztof - Multivariate Statistics: Exercises and Solutions, pp. 317–318
- O'BRIEN Carl M. - Nonparametric Estimation under Shape Constraints: Estimators, Algorithms and Asymptotics, pp. 318–319
- O'BRIEN Carl M. - Data Analysis with Competing Risks and Intermediate States, pp. 319–320
- RICHARDSON Alice M. - Dynamical Biostatistical Models, pp. 320–321
- ZHAO Lili - Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects, pp. 321–322
- MAINDONALD John H. - Missing Data Analysis in Practice, pp. 322–323
- DEKKERS Gijs - STATA for the Behavioral Sciences, pp. 323–324
- SUND Reijo - Graphical Data Analysis with R, pp. 324–325
Volume 84, n° 1, April 2016
- CHAMBERS Raymond - Nalini Ravishanker joins Raymond Chambers as co-Editor-in-Chief of the International Statistical Review, p. 1 (texte)
Interview
- WILD Chris J. - A Conversation with Jack Kalbfleisch and Jerry Lawless, pp. 2–25 (texte)
Original Articles
- NAYAK Tapan K., ADESHIYAN Samson A. - On Invariant Post-randomization for Statistical Disclosure Control, pp. 26–42 (texte)
- NISHIMURA Raphael, WAGNER James, ELLIOTT Michael- Alternative Indicators for the Risk of Non-response Bias: A Simulation Study, pp. 43–62 (texte)
- ROHWER Götz - Treatment and Control Groups in a Dynamic Setting, pp. 63–78 (texte)
- WU Changbao, LU Wilson W. - Calibration Weighting Methods for Complex Surveys, pp. 79–98 (texte)
- SALINI Silvia, CERIOLI Andrea, LAURINI Fabrizio, RIANI Marco - Reliable Robust Regression Diagnostics, pp. 99–127 (texte)
- RYAN Elizabeth G., DROVANDI Christopher C., McGREE James M., PETTITT Anthony N. - A Review of Modern Computational Algorithms for Bayesian Optimal Design, pp. 128–154 (texte)
Book Reviews
- SCHIPPER Matthew - Genomic Clinical Trials and Predictive Medicine, pp. 155–156 (texte)
- O'BRIEN Carl M. - Statistical Learning with Sparsity: The Lasso and Generalizations, pp. 156–157 (texte)
- PEREZ RUI Diego Andres - Bayesian Nonparametric Data Analysis, pp. 157–158 (texte)
- ZHAO Lili - Current Trends in Bayesian Methodology with Applications, pp. 158–159 (texte)
- BLUMBERG Carol Joyce - Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction, p. 159 (texte)
- BASU Sanjib - Bayesian and Frequentist Regression Methods, pp. 159–161 (texte)
- BELLHOUSE David - John Napier: Life, Logarithms and Legacy, pp. 161–162 (texte)
- LIU Shuangzhe - Analysis of Categorical Data with R, pp. 162–163 (texte)
- SUND Reijo - Meta-Analysis: A Structural Equation Modeling Approach, pp. 163–164 (texte)
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