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April 2017, Volume 85, Issue 1
- 31-32 Discussion
by María Oliveira & Rosa M. Crujeiras & Alberto Rodríguez-Casal
- 33-35 Discussion
by Cheolwoo Park & Yongho Jeon & Kee-Hoon Kang
- 36-37 Discussion
by Fred Godtliebsen & Stein O. Skrøvseth & Susan Wei
- 38-40 Discussion
by Hui-Guo Zhang & Chang-Lin Mei
- 40-43 Discussion
by Subhajit Dutta & Anil K. Ghosh
- 43-45 Rejoinder
by Lasse Holmström & Leena Pasanen
- 46-60 A Conversation with Roger Koenker
by Xuming He
- 61-83 Functional Principal Component Regression and Functional Partial Least-squares Regression: An Overview and a Comparative Study
by Manuel Febrero-Bande & Pedro Galeano & Wenceslao González-Manteiga
- 84-107 Accessible Conceptions of Statistical Inference: Pulling Ourselves Up by the Bootstraps
by Chris J. Wild & Maxine Pfannkuch & Matt Regan & Ross Parsonage
- 108-142 Multivariate Hill Estimators
by Yves Dominicy & Pauliina Ilmonen & David Veredas
- 143-163 Selecting Adaptive Survey Design Strata with Partial R-indicators
by Barry Schouten & Natalie Shlomo
- 164-176 Modelling the Ecological Comorbidity of Acute Respiratory Infection, Diarrhoea and Stunting among Children Under the Age of 5 Years in Somalia
by Damaris K. Kinyoki & Samuel O. Manda & Grainne M. Moloney & Elijah O. Odundo & James A. Berkley & Abdisalan M. Noor & Ngianga-Bakwin Kandala
- 177-177 Statistics in Toxicology Using R L.A. Hothorn Chapman and Hall/CRC , 2015 , 234 pages, £61.99, hardback ISBN: 978-1-498-70127-3
by Alice Richardson
- 177-178 Extreme Value Modelling and Risk Analysis Dipak K. Dey and Jun Yan Chapman and Hall/CRC , 2016 , 540 pages, £69.99, hardback ISBN: 978-1-498-70129-7
by Lili Zhao
- 178-179 Fundamental Concepts for New Clinical Trialists Scott Evans and Naitee Ting Chapman and Hall/CRC Biostatistics Series , 2015 , 348 pages, £52.99, hardback ISBN: 978-1-420-09087-1
by Lili Zhao
- 179-180 Monte Carlo Methods and Stochastic Processes – From Linear to Non-Linear Emmanuel Gobet Chapman and Hall/CRC , 2016 , xiii + 310 pages, £44.99, hardback ISBN: 978-1-498-74622-9
by Krzysztof PodgÓrski
- 180-181 Stochastic Volatility Modelling Lorenzo Bergomi Chapman and Hall/CRC , 2016 , xvi + 522 pages, £57.99, hardback ISBN: 978-1-4822-4406-9
by Krzysztof PodgÓrski
- 181-183 Time Series Econometrics Klaus Neusser Springer International Publishing , 2016 , xxiv + 409 pages, £99.00, hardcover ISBN: 978-3-319-32861-4
by Tucker S. McElroy
December 2016, Volume 84, Issue 3
- 327-344 Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood
by Yunwen Yang & Huixia Judy Wang & Xuming He
- 345-349 Discussion
by Roger Koenker
- 349-356 Discussion
by James P. Hobert & Kshitij Khare
- 356-359 Discussion
by Lan Wang & Ben Sherwood
- 359-362 Discussion
by Luke B. Smith
- 362-367 Discussion: Should a Working Model Actually Work?
by Xiao-Li Meng
- 367-370 Rejoinder
by Yunwen Yang & Huixia Judy Wang & Xuming He
- 371-389 Statistical Inference, Learning and Models in Big Data
by Beate Franke & Jean-FRANçois Plante & Ribana Roscher & En-shiun Annie Lee & Cathal Smyth & Armin Hatefi & Fuqi Chen & Einat Gil & Alexander Schwing & Alessandro Selvitella & Michael M. Hoffman & Roger Grosse & Dieter Hendricks & Nancy Reid
- 390-412 Adversarial and Amiable Inference in Medical Diagnosis, Reliability and Survival Analysis
by Nozer D. Singpurwalla & Barry C. Arnold & Joseph L. Gastwirth & Anna S. Gordon & Hon Keung Tony Ng
- 413-433 A Review on Modal Clustering
by Giovanna Menardi
- 434-455 On Goodness of Fit for Operational Risk
by Andrey Feuerverger
- 456-486 Lognormal Distributions and Geometric Averages of Symmetric Positive Definite Matrices
by Armin Schwartzman
- 487-505 H-likelihood Predictive Intervals for Unobservables
by Youngjo Lee & Gwangsu Kim
- 506-527 Skysurveys, Light Curves and Statistical Challenges
by G. Jogesh Babu & Ashish Mahabal
- 528-549 Implications of the Data Revolution for Statistics Education
by Jim Ridgway
- 550-550 Estimation and Testing under Sparsity Sara van de Geer Springer , 2016 , xiii + 274 pages, $59.99, softback ISBN: 978-3-319-32773-0
by D.R. Cox
- 550-551 Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives Andrew S. Fullerton , Jun Xu CRC Press , 2016 , xvi + 172 pages, £49.99/$79.95, hardcover ISBN: 978-1-4665-6973-7
by John H. Maindonald
- 552-553 Handbook of Health Survey Methods Timothy P. Johnson Editor John Wiley and Sons, Inc. , 2015 , xxii + 816 pages, £100.00/€125.00, hardcover ISBN: 978-1-118-00232-2
by Steven G. Heeringa
- 554-554 Generalised Principal Component Analysis Rene Vidal , Yi Ma , S. Shankar Sastry Springer , 2016 , 553 pages, €72.79, hardcover
by Lili Zhao
- 554-555 Branching Process Models of Cancer Richard Durrett Springer International Publishing , 2015 , vii + 63 pages, €31.79, softcover ISBN: 978-3-319-16064-1
by Alexander Tsodikov
- 556-557 Exposure-Response Modelling: Methods and Practical Implementation Jixian Wang Chapman & Hall/CRC , 2015 , xv + 331 pages, £61.99, hardback ISBN: 978-14665-7320-8
by Reijo Sund
August 2016, Volume 84, Issue 2
April 2016, Volume 84, Issue 1
August 2015, Volume 83, Issue 2
April 2015, Volume 83, Issue 1
December 2014, Volume 82, Issue 3
August 2014, Volume 82, Issue 2
- 161-183 A Conversation with James O. Ramsay
by Christian Genest & Johanna G. Nešlehová
- 184-204 A Cognitive Interpretation of Data Analysis
by Garrett Grolemund & Hadley Wickham
- 205-207 Discussion
by Peter J. Huber
- 208-210 Discussion
by Leland Wilkinson
- 210-213 Rejoinder
by Garrett Grolemund & Hadley Wickham
- 214-242 Combining Statistical Evidence
by Elena Kulinskaya & Stephan Morgenthaler & Robert G. Staudte
- 243-274 A Review and Comparison of Bandwidth Selection Methods for Kernel Regression
by Max Köhler & Anja Schindler & Stefan Sperlich
- 275-295 A Unifying Framework for Marginalised Random-Intercept Models of Correlated Binary Outcomes
by Bruce J. Swihart & Brian S. Caffo & Ciprian M. Crainiceanu
- 296-308 Numerical Maximisation of Likelihood: A Neglected Alternative to EM?
by Iain L. MacDonald
- 309-309 Matrix Algebra for Linear Models by Martin H. J. Gruber
by Norman R. Draper
- 309-311 Randomized Phase II Cancer Clinical Trials by Sin-Ho Jung
by KyungMann Kim
- 312-312 Introduction to Statistical Methods for Biosurveillance by Ronald D. Fricker
by Mariano Ruiz Espejo
- 312-313 Bayesian Methods in Epidemiology by Lyle D. Broemeling
by Lili Zhao
- 313-315 Analyzing Baseball Data with R by Max Marchi, Jim Albert
by Ben S. Baumer
- 315-317 Linear Mixed-Effects Models Using R by Andrzej Galecki, Tomasz Burzykowski
by John H. Maindonald
- 317-318 Statistical Robust Design: An Industrial Perspective by Magnus Arner
by Norman R. Draper
- 318-319 Statistical Modeling and Computation by Dirk P. Kroese, Joshua C. C. Chan
by Andreas Rosenblad
- 319-320 Causality: Statistical Perspectives and Applications by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli
by Jason Roy
- 320-322 Quantile Regression: Theory and Applications by Cristina Davino, Marilena Furno, Domenico Vistocco
by Gijs Dekkers
- 322-323 Applied Time Series Analysis by Wayne A. Woodward, Henry L. Gray, Alan C. Elliott
by Arindam Sengupta
- 324-324 Statistical Analysis of Panel Count Data by Jianguo Sun, Xingqiu Zhao
by Xin He
- 325-325 Learning Regression Analysis by Simulation by Kunio Takezawa
by Purna Mukhopadhyay
- 326-326 A Concise Guide to Statistics by Hans-Michael Kaltenbach
by Alice Richardson
- 327-327 Statistics and Probability Theory: In Pursuit of Engineering Decision Support by Michael Havbro Faber
by Stephen B. Vardeman
April 2014, Volume 82, Issue 1
- 1-16 Soft Questions, Hard Answers: Jacob Bernoulli's Probability in Historical Context
by Stephen Stigler
- 17-26 On the Bicentenary in St. Petersburg of Jacob Bernoulli's Theorem
by Eugene Seneta
- 27-45 Tercentenary of Ars Conjectandi (1713): Jacob Bernoulli and the Founding of Mathematical Probability
by Edith Dudley Sylla
- 46-70 A Brief Survey of Modern Optimization for Statisticians
by Kenneth Lange & Eric C. Chi & Hua Zhou
- 71-75 Discussion
by Yves Atchade & George Michailidis
- 76-79 Discussion
by David R. Hunter
- 79-81 Discussion
by Christian P. Robert
- 81-89 Rejoinder
by Kenneth Lange & Eric C. Chi & Hua Zhou
- 90-105 Multiple Local Maxima in Restricted Likelihoods and Posterior Distributions for Mixed Linear Models
by Lisa Henn & James S. Hodges
- 106-122 Non-parametric Analysis of Gap Times for Multiple Event Data: An Overview
by Hong Zhu
- 123-140 Asymptotics for Autocovariances and Integrated Periodograms for Linear Processes Observed at Lower Frequencies
by Tobias Niebuhr & Jens-Peter Kreiss
- 141-142 Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming by Barbara M. Byrne
by Kimmo Vehkalahti
- 142-143 An Introduction to Analysis of Financial Data with R by Ruey S. Tsay
by Matias Leppisaari
- 143-144 Combinatorial Matrix Theory and Generalized Inverses of Matrices by Ravindra B. Bapat, Steve J. Kirkland, K. Manjunatha Prasad, Simo Puntanen
by Shuangzhe Liu
- 144-145 Log-linear Modeling: Concepts, Interpretation, and Application by Alexander von Eye, Eun-Young Mun
by Erkki P. Liski
- 145-146 The R Book, Second Edition by Michael J. Crawley
by Fabrizio Durante
- 146-147 Advanced Risk Analysis in Engineering Enterprise Systems by Cesar Ariel Pinto, Paul R. Garvey
by Fabrizio Durante
- 147-148 Behavioral Research Data Analysis with R by Yuelin Li, Jonathan Baron
by John H. Maindonald
- 148-148 A First Course in Probability and Markov Chains by Giuseppe Modica, Laura Poggiolini
by John H. Maindonald
- 148-149 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
by Shuangzhe Liu
- 149-149 An Introduction to Exotic Option Pricing by Peter Buchen
by Osmo Jauri
- 150-150 Latent Markov Models for Longitudinal Data by Francesco Bartolucci, Alessio Farcomeni, Fulvia Pennoni
by Seppo Pynnönen
- 150-151 Current Topics in the Theory and Application of Latent Variable Models by Michael C. Edwards, Robert C. MacCallum (Editors)
by Seppo Pynnönen
- 151-152 Multiple Imputation and its Application by James R. Carpenter, Michael G. Kenward
by Klaus Nordhausen
- 152-153 Applied Categorical and Count Data Analysis by Wan Tang, Hua He, Xin M. Tu
by Tapio Nummi
- 153-154 Advances in Machine Learning and Data Mining for Astronomy edited by Michael J. Way, Jeffrey D. Scargle, Kamal M. Ali, and Ashok N. Srivstava
by Krzysztof Podgorski
- 154-155 Exercises in Probability: A Guided Tour from Measure Theory to Random Processes,via Conditioning by Loïc Chaumont and Marc Yor
by Krzysztof Podgorski
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