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(Last updated : 2022-12-09 16:58:36)
Horiguchi Masayuki
Kanagawa University
Faculty of Science Department of Science
Kanagawa University Graduate School
Graduate School of Science Course of Science (Field of Mathematics)
Professor
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■ Present specialized field
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Mathematical Programming(Markov Decision Processes), Mathematical statistics (Key Word：Markov decision Processes, Mathematical Programming, Mathematical statistics)
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■ Book and Papers
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1.
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Papers
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On an Approach to Evaluation of Health Care Programme by Markov Decision Model
(Single)
2021/06
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2.
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Papers
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Optimal Impulsive Control of Piecewise Deterministic Markov Processes
(Collaboration)
2016/06
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3.
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Book
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Bayesian Inference in Markov Decision Processes
2015/12
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4.
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Papers
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On a procedure of assessment for tests of controls and interval Bayesian method
(Collaboration)
2022/07
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5.
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Papers
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Partially observable Markov decision Processes and cost-effectiveness in health screening
(Collaboration)
2022/07
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6.
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Papers
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Newton-Raphson Iteration for Uncertain Markov Decision Processes
(Single)
2018/08
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7.
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Papers
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Controlled Markov set-chains and Bayesian Decision Analysis
(Single)
2018/07
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8.
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Papers
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Interval Bayesian Method for Markov Decision Processes with Unknown Transition Matrices
(Single)
2016/08
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5 display
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All display(8)
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■ Academic conference presentation
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1.
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2021/07/07
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On an approach to evaluation of health care programme by Markov decision model (Modern trends in controlled stochastic processes: Theory and applications)
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2.
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2018/08
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Newton-Raphson Iteration for Uncertain Markov Decision Processes (The 2018 International Conference on Management and Operations Research)
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3.
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2016/08
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Interval Bayesian Method for Markov Decision Processes with Unknown Transition Matrices (2016 International Conference on Management and Operations Research)
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4.
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2016/06
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Optimal stopping model with unknown transition probabilities (28th European Conference on Operational Research)
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5.
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2015/07/13
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Markov decision processes with unknown transition matrices: communicating case (27th European conference of operational research)
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6.
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2015/07/04
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Bayesian inference in Markov decision processes (Modern trends in controlled stochastic processes: theory and applications)
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5 display
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All display(6)
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■ Belonging society
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1.
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2008/10～
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Japanese society for artificial intelligence
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2.
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2008/12～
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Research Association of Statistical Sciences
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3.
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2009/09～
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INFORMS/Applied Probability Society
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4.
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2011/01～
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American Mathematical Society
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5.
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2019/01～
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International Society for Mathematical Sciences
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6.
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2017/04～
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The Japanese Society for Quality control
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7.
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2017/04～
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The Japan Statistical Society
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8.
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2015/04～
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Bernoulli Society (BS)
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9.
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2015/04～
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Institute of Mathematical Statistics(IMS)
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5 display
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All display(9)
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■ Department laboratory expense researcher number
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