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Information Geometry Approach to Parameter Estimation in Markov Chains
v1v2v3v4 (latest)

Information Geometry Approach to Parameter Estimation in Markov Chains

16 January 2014
Masahito Hayashi
Shun Watanabe
ArXiv (abs)PDFHTML

Papers citing "Information Geometry Approach to Parameter Estimation in Markov Chains"

8 / 8 papers shown
Title
The space of positive transition measures on a Markov chain
The space of positive transition measures on a Markov chain
Naomichi Nakajima
23
1
0
18 Oct 2023
Kullback-Leibler Divergence and Akaike Information Criterion in General
  Hidden Markov Models
Kullback-Leibler Divergence and Akaike Information Criterion in General Hidden Markov Models
C. Fuh
C. Kao
T. Pang
47
0
0
14 Mar 2023
Optimal Best Markovian Arm Identification with Fixed Confidence
Optimal Best Markovian Arm Identification with Fixed Confidence
Vrettos Moulos
55
19
0
02 Dec 2019
Optimal Chernoff and Hoeffding Bounds for Finite State Markov Chains
Optimal Chernoff and Hoeffding Bounds for Finite State Markov Chains
Vrettos Moulos
V. Anantharam
36
7
0
10 Jul 2019
On $w$-mixtures: Finite convex combinations of prescribed component
  distributions
On www-mixtures: Finite convex combinations of prescribed component distributions
Frank Nielsen
Richard Nock
CoGe
81
11
0
02 Aug 2017
Information Geometry Approach to Parameter Estimation in Hidden Markov
  Models
Information Geometry Approach to Parameter Estimation in Hidden Markov Models
Masahito Hayashi
32
1
0
17 May 2017
Function-Specific Mixing Times and Concentration Away from Equilibrium
Function-Specific Mixing Times and Concentration Away from Equilibrium
Maxim Rabinovich
Aaditya Ramdas
Michael I. Jordan
Martin J. Wainwright
35
8
0
06 May 2016
Uniform Random Number Generation from Markov Chains: Non-Asymptotic and
  Asymptotic Analyses
Uniform Random Number Generation from Markov Chains: Non-Asymptotic and Asymptotic Analyses
Masahito Hayashi
Shun Watanabe
83
37
0
15 Mar 2015
1