Optimal estimation of variance in nonparametric regression with random design

27 February 2019

Papers citing "Optimal estimation of variance in nonparametric regression with random design"

7 / 7 papers shown

Title
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra Tomoya Wakayama Masaaki Imaizumi 51 1 0 25 May 2023
The Fundamental Limits of Structure-Agnostic Functional Estimation Sivaraman Balakrishnan Edward H. Kennedy Larry A. Wasserman 20 11 0 06 May 2023
Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency Wenlong Mou Peng Ding Martin J. Wainwright Peter L. Bartlett OffRL 16 10 0 16 Jan 2023
Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning Lin Liu Rajarshi Mukherjee J. M. Robins CML 33 16 0 07 Aug 2020
Estimating Learnability in the Sublinear Data Regime Weihao Kong Gregory Valiant 43 29 0 04 May 2018
A simple adaptive estimator of the integrated square of a density Evarist Giné Richard Nickl 71 63 0 06 Mar 2008
Goodness-of-fit Tests for high-dimensional Gaussian linear models Nicolas Verzélen Fanny Villers 103 34 0 14 Nov 2007