Open Access
November 2019 Models as Approximations—Rejoinder
Andreas Buja, Arun Kumar Kuchibhotla, Richard Berk, Edward George, Eric Tchetgen Tchetgen, Linda Zhao
Statist. Sci. 34(4): 606-620 (November 2019). DOI: 10.1214/19-STS762

Abstract

We respond to the discussants of our articles emphasizing the importance of inference under misspecification in the context of the reproducibility/replicability crisis. Along the way, we discuss the roles of diagnostics and model building in regression as well as connections between our well-specification framework and semiparametric theory.

Citation

Download Citation

Andreas Buja. Arun Kumar Kuchibhotla. Richard Berk. Edward George. Eric Tchetgen Tchetgen. Linda Zhao. "Models as Approximations—Rejoinder." Statist. Sci. 34 (4) 606 - 620, November 2019. https://doi.org/10.1214/19-STS762

Information

Published: November 2019
First available in Project Euclid: 8 January 2020

zbMATH: 07240218
MathSciNet: MR4048593
Digital Object Identifier: 10.1214/19-STS762

Keywords: Causal inference , diagnostics , proper scoring rules , reproducibility/replicability , semiparametrics , Well-specification

Rights: Copyright © 2019 Institute of Mathematical Statistics

Vol.34 • No. 4 • November 2019
Back to Top