Bayesian analysis of product feature allocation models
Feature allocation models are an extension of Bayesian nonparametric clustering models,
where individuals can share multiple features. We study a broad class of models whose …
where individuals can share multiple features. We study a broad class of models whose …
Incorporating Prior Knowledge of Latent Group Structure in Panel Data Models
B Zhang - arXiv preprint arXiv:2211.16714, 2022 - arxiv.org
The assumption of group heterogeneity has become popular in panel data models. We
develop a constrained Bayesian grouped estimator that exploits researchers' prior beliefs on …
develop a constrained Bayesian grouped estimator that exploits researchers' prior beliefs on …
An Integrative Bayesian Model Analysis of Patient Characteristics and Treatment Variables to Understand Lung Cancer Survival Rates in Kerman Province, Iran
Introduction: Lung cancer (LC) is the most common type of cancer and causes of death
among males. This study aims to estimate the survival rate of lung cancer patients by …
among males. This study aims to estimate the survival rate of lung cancer patients by …
A finite-infinite shared atoms nested model for the Bayesian analysis of large grouped data
L D'Angelo, F Denti - arXiv preprint arXiv:2406.13310, 2024 - arxiv.org
The use of hierarchical mixture priors with shared atoms has recently flourished in the
Bayesian literature for partially exchangeable data. Leveraging on nested levels of mixtures …
Bayesian literature for partially exchangeable data. Leveraging on nested levels of mixtures …
Covariate dependent Beta-GOS process
K Chen, W Shen, W Zhu - Computational Statistics & Data Analysis, 2023 - Elsevier
Covariate-dependent processes have been widely used in Bayesian nonparametric
statistics thanks to their flexibility to incorporate covariate information and correlation among …
statistics thanks to their flexibility to incorporate covariate information and correlation among …
Bayesian nonparametric boundary detection for income areal data
Recent discussions on the future of metropolitan cities underscore the pivotal role of (social)
equity, driven by demographic and economic trends. More equal policies can foster and …
equity, driven by demographic and economic trends. More equal policies can foster and …
Bayesian modeling of sequential discoveries
We aim at modeling the appearance of distinct tags in a sequence of labeled objects.
Common examples of this type of data include words in a corpus or distinct species in a …
Common examples of this type of data include words in a corpus or distinct species in a …
Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations
Based on audio recordings made once a month during the first 12 months of a child's life, we
propose a new method for clustering this set of vocalizations. We use a topologically …
propose a new method for clustering this set of vocalizations. We use a topologically …
Dir-SPGLM: A Bayesian semiparametric GLM with data-driven reference distribution
E Alam, P Müller, PJ Rathouz - arXiv preprint arXiv:2404.05060, 2024 - arxiv.org
The recently developed semi-parametric generalized linear model (SPGLM) offers more
flexibility as compared to the classical GLM by including the baseline or reference …
flexibility as compared to the classical GLM by including the baseline or reference …
A Bayesian nonparametric spatial model with covariate-dependent joint weights
E Yarali, F Rivaz, MJ Khaledi - Spatial Statistics, 2022 - Elsevier
This paper presents a spatial process with covariate-dependent random joint distributions.
Our construction is based on an extension of the Gaussian copula model using the Beta …
Our construction is based on an extension of the Gaussian copula model using the Beta …