Consistency of mixture models with a prior on the number of components

6 May 2022

Papers citing "Consistency of mixture models with a prior on the number of components"

18 / 18 papers shown

Title
A Bayesian approach to functional regression: theory and computation J. Berrendero A. Coín Antonio Cuevas 19 0 0 21 Dec 2023
Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors Alessandro Zito T. Rigon David B. Dunson 12 2 0 04 Jun 2023
Fair Clustering via Hierarchical Fair-Dirichlet Process Abhisek Chakraborty A. Bhattacharya D. Pati FaML 13 3 0 27 May 2023
Robust probabilistic inference via a constrained transport metric Abhisek Chakraborty A. Bhattacharya D. Pati 17 3 0 17 Mar 2023
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances Aritra Guha N. Ho X. Nguyen 16 4 0 27 Jan 2023
Bayesian mixture models (in)consistency for the number of clusters Louise Alamichel D. Bystrova Julyan Arbel Guillaume Kon Kam King 33 5 0 25 Oct 2022
Bayesian Sparse Gaussian Mixture Model in High Dimensions Dapeng Yao Fangzheng Xie Yanxun Xu 21 1 0 21 Jul 2022
Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models Yixin Wang Anthony Degleris Alex H. Williams Scott W. Linderman 13 3 0 13 Jan 2022
Bayesian inference for continuous-time hidden Markov models with an unknown number of states Yu Luo D. Stephens 11 9 0 20 Jun 2021
Consistent Bayesian Community Detection Sheng Jiang S. Tokdar 14 6 0 16 Jan 2021
Optimal Bayesian estimation of Gaussian mixtures with growing number of components Ilsang Ohn Lizhen Lin 27 16 0 17 Jul 2020
Finite mixture models do not reliably learn the number of components Diana Cai Trevor Campbell Tamara Broderick 9 22 0 08 Jul 2020
Estimating the Number of Components in Finite Mixture Models via the Group-Sort-Fuse Procedure Tudor Manole Abbas Khalili 19 19 0 24 May 2020
Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures P. Zhao Hou‐Cheng Yang D. Dey Guanyu Hu 30 4 0 16 Feb 2020
Bayesian Clustering for Continuous-Time Hidden Markov Models Yu Luo D. Stephens David L. Buckeridge 8 3 0 24 Jun 2019
On posterior contraction of parameters and interpretability in Bayesian mixture modeling Aritra Guha Nhat Ho X. Nguyen 15 52 0 15 Jan 2019
Adaptive Bayesian Estimation of Mixed Discrete-Continuous Distributions under Smoothness and Sparsity Andriy Norets Justinas Pelenis 8 7 0 19 Jun 2018
A detailed treatment of Doob's theorem Jeffrey W. Miller 29 28 0 09 Jan 2018