Review of clustering methods for functional data
Functional data clustering is to identify heterogeneous morphological patterns in the
continuous functions underlying the discrete measurements/observations. Application of …
continuous functions underlying the discrete measurements/observations. Application of …
Convergence of latent mixing measures in finite and infinite mixture models
XL Nguyen - 2013 - projecteuclid.org
This paper studies convergence behavior of latent mixing measures that arise in finite and
infinite mixture models, using transportation distances (ie, Wasserstein metrics). The …
infinite mixture models, using transportation distances (ie, Wasserstein metrics). The …
Distribution theory for hierarchical processes
Distribution theory for hierarchical processes Page 1 The Annals of Statistics 2019, Vol. 47, No.
1, 67–92 https://doi.org/10.1214/17-AOS1678 © Institute of Mathematical Statistics, 2019 …
1, 67–92 https://doi.org/10.1214/17-AOS1678 © Institute of Mathematical Statistics, 2019 …
Scalable inference of topic evolution via models for latent geometric structures
We develop new models and algorithms for learning the temporal dynamics of the topic
polytopes and related geometric objects that arise in topic model based inference. Our …
polytopes and related geometric objects that arise in topic model based inference. Our …
On the inferential implications of decreasing weight structures in mixture models
Bayesian estimation of nonparametric mixture models strongly relies on available
representations of discrete random probability measures. In particular, the order of the …
representations of discrete random probability measures. In particular, the order of the …
Bayesian nonparametric modeling for functional analysis of variance
XL Nguyen, AE Gelfand - Annals of the Institute of Statistical Mathematics, 2014 - Springer
Abstract Analysis of variance is a standard statistical modeling approach for comparing
populations. The functional analysis setting envisions that mean functions are associated …
populations. The functional analysis setting envisions that mean functions are associated …
[图书][B] Conditionally dependent Dirichlet processes for modelling naturally correlated data sources
We introduce a new class of conditionally dependent Dirichlet processes (CDP) for
hierarchical mixture modelling of naturally correlated data sources. This class of models …
hierarchical mixture modelling of naturally correlated data sources. This class of models …
Bayesian Semiparametric Hidden Markov Tensor Models for Time Varying Random Partitions with Local Variable Selection
We present a flexible Bayesian semiparametric mixed model for longitudinal data analysis in
the presence of potentially high-dimensional categorical covariates. Building on a novel …
the presence of potentially high-dimensional categorical covariates. Building on a novel …
[PDF][PDF] Wasserstein distances for discrete measures and convergence in nonparametric mixture models
X Nguyen - Citeseer. Forschungsbericht, 2011 - dept.stat.lsa.umich.edu
We consider Wasserstein distance functionals for comparing between and assessing the
convergence of latent discrete measures, which serve as mixing distributions in hierarchical …
convergence of latent discrete measures, which serve as mixing distributions in hierarchical …
Bayesian partition models for local inference in longitudinal and survival data
G Paulon - 2021 - repositories.lib.utexas.edu
This dissertation proposes novel Bayesian semiparametric and nonparametric methods for
complex, large and potentially high-dimensional longitudinal and survival data. The first part …
complex, large and potentially high-dimensional longitudinal and survival data. The first part …