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Efficient Continuous-Time Markov Chain Estimation
v1v2 (latest)

Efficient Continuous-Time Markov Chain Estimation

12 September 2013
Monir Hajiaghayi
Bonnie Kirkpatrick
Liangliang Wang
Alexandre Bouchard-Côté
ArXiv (abs)PDFHTML

Papers citing "Efficient Continuous-Time Markov Chain Estimation"

8 / 8 papers shown
Title
Foundation Inference Models for Markov Jump Processes
Foundation Inference Models for Markov Jump Processes
David Berghaus
K. Cvejoski
Patrick Seifner
C. Ojeda
Ramses J. Sanchez
101
1
0
10 Jun 2024
Efficient Learning and Decoding of the Continuous-Time Hidden Markov
  Model for Disease Progression Modeling
Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling
Yu-Ying Liu
Alexander Moreno
Maxwell A. Xu
Shuang Li
Jena McDaniel
N. Brady
A. Rozga
Fuxin Li
Le Song
James M. Rehg
46
0
0
26 Oct 2021
Pseudo-marginal Inference for CTMCs on Infinite Spaces via Monotonic
  Likelihood Approximations
Pseudo-marginal Inference for CTMCs on Infinite Spaces via Monotonic Likelihood Approximations
Miguel Biron-Lattes
Alexandre Bouchard-Côté
Trevor Campbell
130
2
0
28 May 2021
Random Tessellation Forests
Random Tessellation Forests
Shufei Ge
Shijia Wang
Yee Whye Teh
Liangliang Wang
L. Elliott
78
17
0
13 Jun 2019
Unbiased Bayesian Inference for Population Markov Jump Processes via
  Random Truncations
Unbiased Bayesian Inference for Population Markov Jump Processes via Random Truncations
Anastasis Georgoulas
J. Hillston
G. Sanguinetti
75
39
0
28 Sep 2015
Efficient Transition Probability Computation for Continuous-Time
  Branching Processes via Compressed Sensing
Efficient Transition Probability Computation for Continuous-Time Branching Processes via Compressed Sensing
Jason Xu
V. Minin
132
7
0
09 Mar 2015
JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes
JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes
Jonathan H. Huggins
Karthik Narasimhan
A. Saeedi
Vikash K. Mansinghka
110
14
0
01 Mar 2015
Bayesian inference for Markov jump processes with informative
  observations
Bayesian inference for Markov jump processes with informative observations
Andrew Golightly
D. Wilkinson
96
39
0
15 Sep 2014
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