A flexible Bayesian non-parametric approach for fitting the odds to case II interval-censored data-Reference-Cited by-同舟云学术

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A flexible Bayesian non-parametric approach for fitting the odds to case II interval-censored data

Published:2018-08-01 Issue:16 Volume:88 Page:3132-3150
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Wu Yuh-Jenn¹,Fang Wei-Quan²,Cheng Li-Hsueh¹,Chu Kai-Chi³,Shih Yin-Tzer³,Chien Li-Chu⁴

Affiliation:

1. Department of Applied Mathematics, Chung Yuan Christian University, Chung Li, Taiwan, Republic of China

2. Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan, Republic of China

3. Department of Applied Mathematics, National Chung Hsing University, Taichung City, Taiwan, Republic of China

4. Center for Fundamental Science, Kaohsiung Medical University, Kaohsiung, Taiwan, Republic of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2018.1504944

Reference26 articles.

1. Groeneboom P. Nonparametric maximum likelihood estimators for interval censoring and deconvolution. Technical Report 378. Department of Statistics, Standford University; 1991.

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