A Bayesian Approach in Estimating Transition Probabilities of a Discrete-time Markov Chain for Ignorable Intermittent Missing Data-Reference-Cited by-同舟云学术

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A Bayesian Approach in Estimating Transition Probabilities of a Discrete-time Markov Chain for Ignorable Intermittent Missing Data

Published:2014-08-21 Issue:7 Volume:45 Page:2598-2616
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Ma Junsheng,Yu Xiaoying,Symanski Elaine,Doody Rachelle,Chan Wenyaw

Publisher

Informa UK Limited

Subject

Modelling and Simulation,Statistics and Probability

Link

http://www.tandfonline.com/doi/pdf/10.1080/03610918.2014.911895

Reference18 articles.

1. Statistical Inference about Markov Chains

2. A Bayesian Model for Markov Chains via Jeffrey's Prior

3. Bayesian Methods for Data Analysis

4. Another look at rejection sampling through importance sampling

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A time-inhomogeneous Markov model for resource availability under sparse observations;Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems;2018-11-06

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