Strong identifiability and parameter learning in regression with
heterogeneous response

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Strong identifiability and parameter learning in regression with heterogeneous response

8 December 2022

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Papers citing "Strong identifiability and parameter learning in regression with heterogeneous response"

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Title
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures Tuan Thai TrungTin Nguyen Dat Do Nhat Ho Christopher Drovandi 171 0 0 19 May 2025
Beyond Black Box Densities: Parameter Learning for the Deviated Components Dat Do Nhat Ho X. Nguyen 40 2 0 05 Feb 2022
Convergence of de Finetti's mixing measure in latent structure models for observed exchangeable sequences Yun-Chun Wei X. Nguyen 44 10 0 12 Apr 2020
Convergence Rates for Gaussian Mixtures of Experts Nhat Ho Chiao-Yu Yang Michael I. Jordan 67 43 0 09 Jul 2019
On posterior contraction of parameters and interpretability in Bayesian mixture modeling Aritra Guha Nhat Ho X. Nguyen 60 57 0 15 Jan 2019
A detailed treatment of Doob's theorem Jeffrey W. Miller 68 29 0 09 Jan 2018
Singularity structures and impacts on parameter estimation in finite mixtures of distributions Nhat Ho X. Nguyen 52 25 0 09 Sep 2016
Convergence of latent mixing measures in finite and infinite mixture models X. Nguyen 120 185 0 15 Sep 2011