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Goodness-of-fit testing in high-dimensional generalized linear models
v1v2 (latest)

Goodness-of-fit testing in high-dimensional generalized linear models

9 August 2019
Jana Janková
Rajen Dinesh Shah
Peter Buhlmann
R. Samworth
ArXiv (abs)PDFHTML

Papers citing "Goodness-of-fit testing in high-dimensional generalized linear models"

14 / 14 papers shown
On the Role of Calibration in Benchmarking Algorithmic Fairness for Skin Cancer Detection
On the Role of Calibration in Benchmarking Algorithmic Fairness for Skin Cancer DetectionMachine Learning for Biomedical Imaging (MLBI), 2025
Brandon Dominique
Prudence Lam
N. Kurtansky
Jochen Weber
Kivanc Kose
V. Rotemberg
Jennifer Dy
145
0
0
10 Nov 2025
A structured regression approach for evaluating model performance across
  intersectional subgroups
A structured regression approach for evaluating model performance across intersectional subgroupsConference on Fairness, Accountability and Transparency (FAccT), 2024
Christine Herlihy
Kimberly Truong
Alexandra Chouldechova
Miroslav Dudik
322
8
0
26 Jan 2024
Is this model reliable for everyone? Testing for strong calibration
Is this model reliable for everyone? Testing for strong calibrationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Jean Feng
Alexej Gossmann
Romain Pirracchio
N. Petrick
Gene Pennello
B. Sahiner
250
6
0
28 Jul 2023
Poisson and Gaussian approximations of the power divergence family of
  statistics
Poisson and Gaussian approximations of the power divergence family of statisticsLatin American Journal of Probability and Mathematical Statistics (ALEA), 2023
Fraser Daly
183
0
0
29 Jun 2023
Moment-Based Adjustments of Statistical Inference in High-Dimensional
  Generalized Linear Models
Moment-Based Adjustments of Statistical Inference in High-Dimensional Generalized Linear Models
Kazuma Sawaya
Yoshimasa Uematsu
Masaaki Imaizumi
516
2
0
28 May 2023
Rank-transformed subsampling: inference for multiple data splitting and
  exchangeable p-values
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
F. R. Guo
Rajen Dinesh Shah
341
18
0
06 Jan 2023
GRASP: A Goodness-of-Fit Test for Classification Learning
GRASP: A Goodness-of-Fit Test for Classification Learning
Adel Javanmard
M. Mehrabi
392
1
0
05 Sep 2022
High-dimensional Data Bootstrap
High-dimensional Data BootstrapAnnual Review of Statistics and Its Application (ARSIA), 2022
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
369
47
0
19 May 2022
Test for non-negligible adverse shifts
Test for non-negligible adverse shifts
Vathy M. Kamulete
420
5
0
07 Jul 2021
BEAUTY Powered BEAST
BEAUTY Powered BEAST
Kai Zhang
Zhigen Zhao
Wen-Xin Zhou
493
8
0
01 Mar 2021
Debiased Inverse Propensity Score Weighting for Estimation of Average
  Treatment Effects with High-Dimensional Confounders
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional ConfoundersAnnals of Statistics (Ann. Stat.), 2020
Yuhao Wang
Rajen Dinesh Shah
438
19
0
17 Nov 2020
Dimension-agnostic inference using cross U-statistics
Dimension-agnostic inference using cross U-statistics
Ilmun Kim
Aaditya Ramdas
877
30
0
10 Nov 2020
Is a Classification Procedure Good Enough? A Goodness-of-Fit Assessment
  Tool for Classification Learning
Is a Classification Procedure Good Enough? A Goodness-of-Fit Assessment Tool for Classification LearningJournal of the American Statistical Association (JASA), 2019
Jiawei Zhang
Jie Ding
Yuhong Yang
354
13
0
08 Nov 2019
Double-estimation-friendly inference for high-dimensional misspecified
  models
Double-estimation-friendly inference for high-dimensional misspecified modelsStatistical Science (Statist. Sci.), 2019
Rajen Dinesh Shah
Peter Buhlmann
412
10
0
24 Sep 2019
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