Models as Approximations I: Consequences Illustrated with Linear Regression
Andreas Buja, Lawrence Brown, Richard Berk, Edward George , Emil Pitkin, Mikhail Traskin, Kai Zhang, Linda H. Zhao
págs. 523-544
Models as Approximations II: A Model-Free Theory of Parametric Regression
Andreas Buja, Lawrence Brown, Arun Kumar Kuchibhotla, Richard Berk, Edward George , Linda H. Zhao
págs. 545-565
págs. 566-568
págs. 569-571
Comment: Models as Approximations
Nikki L. B. Freeman, Xiaotong Jiang, Owen E. Leete, Daniel J. Luckett, Teeranan Pokaprakarn, Michael R. Kosorok
págs. 572-574
Discussion of Models as Approximations I & II
Dag Tjostheim
págs. 575-579
Roderick J.A. Little
págs. 580-583
págs. 584-590
Comment: Models as (Deliberate) Approximations
David Whitney, Ali Shojaie, Marco Carone
págs. 591-598
Comment: Statistical Inference from a Predictive Perspective
Alessandro Rinaldo, Ryan J. Tibshirani, Larry Wasserman
págs. 599-603
Discussion: Models as Approximations
Dalia Ghanem, Todd A. Kuffner
págs. 604-605
Models as Approximations—Rejoinder
Andreas Buja, Arun Kumar Kuchibhotla, Richard Berk, Edward George , Eric J. Tchetgen Tchetgen, Linda H. Zhao
págs. 606-620
Larry Brown’s Contributions to Parametric Inference, Decision Theory and Foundations: A Survey
James O. Berger , Anirban DasGupta
págs. 621-634
págs. 635-656
págs. 657-668
Statistical Theory Powering Data Science
Junhui Cai, Avishai Mandelbaum, Chaitra H. Nagaraja, Haipeng Shen, Linda H. Zhao
págs. 669-691
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