Special issue on Big Data and the Statistical Sciences: Guest Editor's Introduction
Richard Lockhart
págs. 4-9
Dynamic data science and official statistics
MARY E. THOMPSON
págs. 10-23
Statistical challenges in high‐dimensional molecular and genetic epidemiology
Shelley B. Bull, Irene L Andrulis, Andrew D Paterson
págs. 24-40
Post‐selection inference for urn:x-wiley:1708945X:media:cjs11313:cjs11313-math-0002‐penalized likelihood models
Jonathan Taylor, Robert Tibshirani
págs. 41-61
Big data and partial least‐squares prediction
Jonathan Taylor, Liliana Forzani
págs. 62-78
Linear operator‐based statistical analysis: A useful paradigm for big data
Bing Li
págs. 79-103
Minimax robust active learning for approximately specified regression models
Rui Nie, Douglas P. Wiens
págs. 104-122
Online updating method with new variables for big data streams
Chun Wang, Ming-Hui Chen, Jing Wu, Jun Yan
págs. 123-146
Likelihood inflating sampling algorithm
Reihaneh Entezari, Radu V. Craiu, Jeffrey S. Rosenthal
págs. 147-175
Approximate Bayesian estimation in large coloured graphical Gaussian models
Qiong Li, Xin Gao, Hélène Massam
págs. 176-203
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