Articles

Assessing the Impact of Precision Parameter Prior in Bayesian Non-parametric Growth Curve Modeling

in Quantitative Psychology and Measurement

• Xin Tong
• Zijun Ke

Bayesian Nonparametric Learning and Knowledge Transfer for Object Tracking Under Unknown Time-Varying Conditions

in Statistical Signal Processing

• Omar Alotaibi
• Antonia Papandreou-Suppappola

Bayesian Semi-parametric Support Vector Machines Based on Multi-view Networks

• Jin Ming
• Suprateek Kundu

A guidance of model selection for genomic prediction based on linear mixed models for complex traits

in Statistical Genetics and Methodology

• Jiefang Duan
• Jiayu Zhang
• Long Liu
• Yalu Wen

Rank-Based Mixture Models for Temporal Point Processes

in Statistics and Probability

• Yang Chen
• Yijia Ma
• Wei Wu

Research on identification of server energy consumption characteristics via dirichlet max-margin factor analysis similarity preservation model

in Process and Energy Systems Engineering

• Buhua Chen
• Hanjiang Liu
• Chengbin Shen
• Buyang Shen
• Kunlun Li

Multimodal Hierarchical Dirichlet Process-Based Active Perception by a Robot

• Tadahiro Taniguchi
• Ryo Yoshino
• Toshiaki Takano

Microbiome Transmission During Sexual Intercourse Appears Stochastic and Supports the Red Queen Hypothesis

in Systems Microbiology

• Zhanshan (Sam) Ma

Bayesian Profile Regression to Deal With Multiple Highly Correlated Exposures and a Censored Survival Outcome. First Application in Ionizing Radiation Epidemiology

in Exposome

• Marion Belloni
• Olivier Laurent
• Chantal Guihenneuc
• Sophie Ancelet