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Communications in Statistics - Simulation and Computation Volume 43, 2014 - Issue 6
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Original Articles

Hierarchical Bayesian Approach to a Multi-Site Hidden Markov Model

Dal Ho Kim Department of Statistics, Kyungpook National University, Daegu, South Korea
,
Gyuhyeong Goh Department of Statistics, University of Connecticut, Storrs, Connecticut, USA
&
Yongku Kim Department of Statistics, Kyungpook National University, Daegu, South Korea
Pages 1241-1252 | Received 03 Aug 2011, Accepted 14 Sep 2012, Published online: 09 Jan 2014

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Wen-Tso Huang, Gary Yu-Hsin Chen & Ping-Shun Chen. (2020) Taiwan depository receipts forecasting along a novel regular Markov chain model. Journal of the Chinese Institute of Engineers 43:5, pages 458-466.
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Ian H. Dinwoodie. (2019) Missing sensor network data. Communications in Statistics: Case Studies, Data Analysis and Applications 5:2, pages 146-152.
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Dal Ho Kim, Jayoun Lee & Yongku Kim. (2018) Information analysis of local suppression scheme based on a spatial-temporal model. Journal of Applied Statistics 45:16, pages 2929-2942.
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Wen-Tso Huang & Cheng-Chang Lu. (2018) An enhanced absorbing Markov chain model for predicting TAIEX Index Futures. Communications in Statistics - Theory and Methods 47:1, pages 133-146.
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