A generalized mixture model applied to diabetes incidence data-Reference-Cited by-同舟云学术

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A generalized mixture model applied to diabetes incidence data

Published:2017-03-21 Issue:4 Volume:59 Page:826-842
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Zuanetti Daiane Aparecida¹,Milan Luis Aparecido¹

Affiliation:

1. Departamento de Estatística; Universidade Federal de Sao Carlos, Rod. Washington Luís; Km 235, SP 310 Sao Carlos São Paulo 13565-905 Brazil

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/bimj.201600086/fullpdf

Reference36 articles.

1. Spectral analysis for discrete longitudinal data;Beckett;Advances in Mathematics,1994

2. On determining the order of Markov dependence of an observed process governed by a hidden Markov model;Boys;Scientific Programming,2002

3. A Bayesian approach to DNA sequence segmentation;Boys;Biometrics,2004

4. Detecting homogeneous segments in DNA sequences by using hidden Markov models;Boys;Journal of the Royal Statistical Society: Series C (Applied Statistics),2000

5. Efficient construction of reversible jump Markov chain Monte Carlo proposal distributions;Brooks;Journal of the Royal Statistical Society: Series B (Statistical Methodology),2003

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