Determining the Number of Factors in High-dimensional Generalized Latent
Factor Models

Determining the Number of Factors in High-dimensional Generalized Latent Factor Models

5 October 2020

Yunxiao Chen

Papers citing "Determining the Number of Factors in High-dimensional Generalized Latent Factor Models"

9 / 9 papers shown

Title
Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications Sze Ming Lee Yunxiao Chen 37 0 0 13 Jan 2025
Factor pre-training in Bayesian multivariate logistic models Lorenzo Mauri David B. Dunson 18 0 0 26 Sep 2024
Simultaneous inference for generalized linear models with unmeasured confounders Jin-Hong Du Larry Wasserman Kathryn Roeder 14 4 0 13 Sep 2023
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency Yunxiao Chen Xiaoou Li 19 0 0 17 Nov 2022
Rotation to Sparse Loadings using $L^p$ Losses and Related Inference Problems Xinyi Liu Gabriel Wallin Yunxiao Chen I. Moustaki 11 3 0 05 Jun 2022
Statistical Inference for Noisy Incomplete Binary Matrix Yunxiao Chen Chengcheng Li Ouyang Jing Gongjun Xu 20 7 0 04 May 2021
Limiting laws and consistent estimation criteria for fixed and diverging number of spiked eigenvalues Jian-bo Hu Jingfei Zhang Jianhua Guo Ji Zhu 21 1 0 15 Dec 2020
Selecting the number of components in PCA via random signflips David Hong Yueqi Sheng Edgar Dobriban 11 15 0 05 Dec 2020
A Note on the Likelihood Ratio Test in High-Dimensional Exploratory Factor Analysis Yinqiu He Zi Wang Gongjun Xu 9 1 0 14 Aug 2020