4.1 Article

An application of Dirichlet process in clustering subjects via variance shift models: A course-evaluation study

Related references

Note: Only part of the references are listed.
Article Geriatrics & Gerontology

Dual Trajectories of Depression and Cognition: A Longitudinal Population-Based Study

Julie A. Graziane et al.

AMERICAN JOURNAL OF GERIATRIC PSYCHIATRY (2016)

Article Economics

Detecting Variance Change-Points for Blocked Time Series and Dependent Panel Data

Minya Xu et al.

JOURNAL OF BUSINESS & ECONOMIC STATISTICS (2016)

Article Mathematics, Interdisciplinary Applications

Bayesian Clustering of Functional Data Using Local Features

Adam Justin Suarez et al.

BAYESIAN ANALYSIS (2016)

Article Economics

Variance change-point detection in panel data models

Fuxiao Li et al.

ECONOMICS LETTERS (2015)

Article Computer Science, Interdisciplinary Applications

Detection of outliers in longitudinal count data via overdispersion

Freedom N. Gumedze et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2014)

Article Statistics & Probability

Clustering in linear mixed models with approximate Dirichlet process mixtures using EM algorithm

Felix Heinzl et al.

STATISTICAL MODELLING (2013)

Article Mathematical & Computational Biology

Hierarchical Dirichlet process model for gene expression clustering

Liming Wang et al.

EURASIP JOURNAL ON BIOINFORMATICS AND SYSTEMS BIOLOGY (2013)

Article Statistics & Probability

Additive mixed models with Dirichlet process mixture and P-spline priors

Felix Heinzl et al.

ASTA-ADVANCES IN STATISTICAL ANALYSIS (2012)

Article Statistics & Probability

Panel data analysis: a survey on model-based clustering of time series

Sylvia Fruehwirth-Schnatter

ADVANCES IN DATA ANALYSIS AND CLASSIFICATION (2011)

Article Economics

Model-Based Clustering of Non-Gaussian Panel Data Based on Skew-t Distributions

Miguel A. Juarez et al.

JOURNAL OF BUSINESS & ECONOMIC STATISTICS (2010)

Article Mathematical & Computational Biology

The BUGS project: Evolution, critique and future directions

David Lunn et al.

STATISTICS IN MEDICINE (2009)

Review Computer Science, Artificial Intelligence

Survey of clustering algorithms

R Xu et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2005)

Article Psychology, Multidisciplinary

Explaining adolescent exercise behavior change: A longitudinal application of the transtheoretical model

CR Nigg

ANNALS OF BEHAVIORAL MEDICINE (2001)

Article Statistics & Probability

Gibbs sampling methods for stick-breaking priors

H Ishwaran et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)