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Bayesian Cluster Analysis: Point Estimation and Credible Balls (with Discussion)

Bayesian analysis, 2018-06, Vol.13 (2)

2018

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Prediction of AD dementia by biomarkers following the NIA-AA and IWG diagnostic criteria in MCI patients from three European memory clinics

Alzheimer's & dementia, 2015-10, Vol.11 (10), p.1191-1201

2015

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Does Democracy Matter? Regime Type and Suicide Terrorism

The Journal of conflict resolution, 2007-04, Vol.51 (2), p.329-348

2007

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Bayesian Statistics and New Generations: BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions

1st ed. 2019., 2019

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Shared Differential Clustering across Single-cell RNA Sequencing Datasets with the Hierarchical Dirichlet Process

Econometrics and statistics, 2024-02

2024

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Posterior inference for sparse hierarchical non-stationary models

Computational statistics & data analysis, 2020-08, Vol.148, p.106954, Article 106954

2020

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Fast deep mixtures of Gaussian process experts

Machine learning, 2024-03, Vol.113 (3), p.1483-1508

2024

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Colombian Women’s Life Patterns: A Multivariate Density Regression Approach

Bayesian analysis, 2022-06, Vol.17 (2)

2022

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Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data

Journal of computational and graphical statistics, 2023-04, Vol.32 (2), p.588-600

2023

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An enriched conjugate prior for Bayesian nonparametric inference

Bayesian analysis, 2011-09, Vol.6 (3)

2011

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Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences

Science advances, 2022-10, Vol.8 (42), p.eabk1942-eabk1942

2022

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Leveraging Variational Autoencoders for Multiple Data Imputation

Machine Learning and Knowledge Discovery in Databases: Research Track, p.491-506

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Bayesian Nonparametric Regression Model With Normalized Weights: A Study of Hippocampal Atrophy in Alzheimer’s Disease

Journal of the American Statistical Association, 2014-06, Vol.109 (506), p.477-490

2014

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An enriched conjugate prior for Bayesian nonparametric inference

Bayesian analysis, 2011-09, Vol.6 (3), p.359-385

2011

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Bayesian Statistics and New Generations: BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions

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A Conditional Autoregressive Model for Estimating Slow and Fast Diffusion from Magnetic Resonance Images

Bayesian Statistics and New Generations, p.135-144

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Simulation Study of HIV Temporal Patterns Using Bayesian Methodology

Bayesian Statistics and New Generations, p.145-154

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Bias Estimation and Correction Using Bootstrap Simulation of the Linking Process

Bayesian Statistics and New Generations, p.13-22

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Non-parametric Overlapping Community Detection

Bayesian Statistics and New Generations, p.23-34

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A Bayesian Nonparametric Model for Integrative Clustering of Omics Data

Bayesian Statistics and New Generations, p.105-114

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Bayesian Inference of Interaction Effects in Item-Level Hierarchical Twin Data

Bayesian Statistics and New Generations, p.115-122

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Posterior Consistency in the Binomial Model with Unknown Parameters: A Numerical Study

Bayesian Statistics and New Generations, p.35-42

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Modelling with Non-stratified Chain Event Graphs

Bayesian Statistics and New Generations, p.155-163

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Alzheimer Disease Biomarkers as Outcome Measures for Clinical Trials in MCI

Alzheimer disease and associated disorders, 2015-04, Vol.29 (2), p.101-109

2015

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Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage

Bayesian Statistics and New Generations, p.75-83

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Bayesian Cluster Analysis: Point Estimation and Credible Balls (with Discussion)

Prediction of AD dementia by biomarkers following the NIA-AA and IWG diagnostic criteria in MCI patients from three European memory clinics

Does Democracy Matter? Regime Type and Suicide Terrorism

Bayesian Statistics and New Generations: BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions

Shared Differential Clustering across Single-cell RNA Sequencing Datasets with the Hierarchical Dirichlet Process

Posterior inference for sparse hierarchical non-stationary models

Fast deep mixtures of Gaussian process experts

Colombian Women’s Life Patterns: A Multivariate Density Regression Approach

Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data

An enriched conjugate prior for Bayesian nonparametric inference

Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences

Leveraging Variational Autoencoders for Multiple Data Imputation

Bayesian Nonparametric Regression Model With Normalized Weights: A Study of Hippocampal Atrophy in Alzheimer’s Disease

An enriched conjugate prior for Bayesian nonparametric inference

Bayesian Statistics and New Generations: BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions

A Conditional Autoregressive Model for Estimating Slow and Fast Diffusion from Magnetic Resonance Images

Simulation Study of HIV Temporal Patterns Using Bayesian Methodology

Bias Estimation and Correction Using Bootstrap Simulation of the Linking Process

Non-parametric Overlapping Community Detection

A Bayesian Nonparametric Model for Integrative Clustering of Omics Data

Bayesian Inference of Interaction Effects in Item-Level Hierarchical Twin Data

Posterior Consistency in the Binomial Model with Unknown Parameters: A Numerical Study

Modelling with Non-stratified Chain Event Graphs

Alzheimer Disease Biomarkers as Outcome Measures for Clinical Trials in MCI

Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage

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