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Non Parametric Hidden Markov Models with Finite State Space: Posterior
  Concentration Rates

Non Parametric Hidden Markov Models with Finite State Space: Posterior Concentration Rates

27 November 2015
E. Vernet
ArXiv (abs)PDFHTML

Papers citing "Non Parametric Hidden Markov Models with Finite State Space: Posterior Concentration Rates"

16 / 16 papers shown
Title
Consistent estimation of the filtering and marginal smoothing
  distributions in nonparametric hidden Markov models
Consistent estimation of the filtering and marginal smoothing distributions in nonparametric hidden Markov models
Yohann De Castro
Elisabeth Gassiat
Sylvain Le Corff
47
32
0
23 Jul 2015
Minimax adaptive estimation of nonparametric hidden Markov models
Minimax adaptive estimation of nonparametric hidden Markov models
Yohann De Castro
Elisabeth Gassiat
C. Lacour
59
32
0
20 Jan 2015
A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal
  Population Codes During Spatial Navigation
A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation
Scott W. Linderman
Matthew J. Johnson
M. Wilson
Z. Chen
62
9
0
27 Nov 2014
Nonparametric identification and maximum likelihood estimation for
  hidden Markov model
Nonparametric identification and maximum likelihood estimation for hidden Markov model
Grigory Alexandrovich
H. Holzmann
Anna Leister
83
33
0
16 Apr 2014
Posterior consistency for nonparametric hidden Markov models with finite
  state space
Posterior consistency for nonparametric hidden Markov models with finite state space
E. Vernet
74
24
0
13 Nov 2013
On adaptive posterior concentration rates
On adaptive posterior concentration rates
M. Hoffmann
Judith Rousseau
Johannes Schmidt-Hieber
174
85
0
22 May 2013
About the posterior distribution in hidden Markov models with unknown
  number of states
About the posterior distribution in hidden Markov models with unknown number of states
Elisabeth Gassiat
Judith Rousseau
76
34
0
09 Jul 2012
Gene Expression Time Course Clustering with Countably Infinite Hidden
  Markov Models
Gene Expression Time Course Clustering with Countably Infinite Hidden Markov Models
Matthew J. Beal
Praveen Krishnamurthy
76
33
0
27 Jun 2012
Bayesian optimal adaptive estimation using a sieve prior
Bayesian optimal adaptive estimation using a sieve prior
Julyan Arbel
G. Gayraud
Judith Rousseau
121
60
0
11 Apr 2012
Adaptive Bayesian multivariate density estimation with Dirichlet
  mixtures
Adaptive Bayesian multivariate density estimation with Dirichlet mixtures
Weining Shen
S. Tokdar
S. Ghosal
103
144
0
29 Sep 2011
Estimation of a discrete monotone distribution
Estimation of a discrete monotone distribution
H. Jankowski
J. Wellner
81
51
0
16 Oct 2009
Adaptive Bayesian estimation using a Gaussian random field with inverse
  Gamma bandwidth
Adaptive Bayesian estimation using a Gaussian random field with inverse Gamma bandwidth
Van der Vaart
V. Zanten
122
254
0
25 Aug 2009
A sticky HDP-HMM with application to speaker diarization
A sticky HDP-HMM with application to speaker diarization
E. Fox
Erik B. Sudderth
Michael I. Jordan
A. Willsky
116
380
0
15 May 2009
A Bernstein-Von Mises Theorem for discrete probability distributions
A Bernstein-Von Mises Theorem for discrete probability distributions
S. Boucheron
Elisabeth Gassiat
471
49
0
14 Jul 2008
Posterior convergence rates of Dirichlet mixtures at smooth densities
Posterior convergence rates of Dirichlet mixtures at smooth densities
S. Ghosal
A. van der Vaart
327
232
0
14 Aug 2007
Convergence rates of posterior distributions for noniid observations
Convergence rates of posterior distributions for noniid observations
S. Ghosal
A. van der Vaart
404
399
0
03 Aug 2007
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