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Minimax adaptive estimation of nonparametric hidden Markov models
v1v2v3 (latest)

Minimax adaptive estimation of nonparametric hidden Markov models

20 January 2015
Yohann De Castro
Elisabeth Gassiat
C. Lacour
ArXiv (abs)PDFHTML

Papers citing "Minimax adaptive estimation of nonparametric hidden Markov models"

18 / 18 papers shown
Title
Adaptive Mean Estimation in the Hidden Markov sub-Gaussian Mixture Model
Adaptive Mean Estimation in the Hidden Markov sub-Gaussian Mixture Model
V. Karagulyan
M. Ndaoud
77
0
0
18 Jun 2024
General oracle inequalities for a penalized log-likelihood criterion
  based on non-stationary data
General oracle inequalities for a penalized log-likelihood criterion based on non-stationary data
Julien Aubert
Luc Lehéricy
Patricia Reynaud-Bouret
79
0
0
17 May 2024
Prediction from compression for models with infinite memory, with
  applications to hidden Markov and renewal processes
Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes
Yanjun Han
Tianze Jiang
Yihong Wu
70
0
0
23 Apr 2024
Frontiers to the learning of nonparametric hidden Markov models
Frontiers to the learning of nonparametric hidden Markov models
Kweku Abraham
Elisabeth Gassiat
Zacharie Naulet
63
0
0
28 Jun 2023
Estimation of the Order of Non-Parametric Hidden Markov Models using the
  Singular Values of an Integral Operator
Estimation of the Order of Non-Parametric Hidden Markov Models using the Singular Values of an Integral Operator
Marie du Roy de Chaumaray
Salima El Kolei
Marie-Pierre Etienne
M. Marbac
98
1
0
07 Oct 2022
Topological Hidden Markov Models
Topological Hidden Markov Models
A. B. Kashlak
Prachi Loliencar
G. Heo
18
2
0
26 May 2022
Efficient Bayesian estimation and use of cut posterior in semiparametric
  hidden Markov models
Efficient Bayesian estimation and use of cut posterior in semiparametric hidden Markov models
Daniella F Moss
Judith Rousseau
77
7
0
11 Mar 2022
Fundamental limits for learning hidden Markov model parameters
Fundamental limits for learning hidden Markov model parameters
Kweku Abraham
Zacharie Naulet
Elisabeth Gassiat
68
6
0
24 Jun 2021
Identifiability and consistent estimation of nonparametric translation
  hidden Markov models with general state space
Identifiability and consistent estimation of nonparametric translation hidden Markov models with general state space
Elisabeth Gassiat
Sylvain Le Corff
Luc Lehéricy
74
9
0
04 Feb 2019
Nonasymptotic control of the MLE for misspecified nonparametric hidden
  Markov models
Nonasymptotic control of the MLE for misspecified nonparametric hidden Markov models
Luc Lehéricy
53
8
0
11 Jul 2018
State-by-state Minimax Adaptive Estimation for Nonparametric Hidden
  Markov Models
State-by-state Minimax Adaptive Estimation for Nonparametric Hidden Markov Models
Luc Lehéricy
77
10
0
26 Jun 2017
Learning HMMs with Nonparametric Emissions via Spectral Decompositions
  of Continuous Matrices
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices
Kirthevasan Kandasamy
Maruan Al-Shedivat
Eric Xing
42
7
0
21 Sep 2016
Efficient semiparametric estimation and model selection for
  multidimensional mixtures
Efficient semiparametric estimation and model selection for multidimensional mixtures
Elisabeth Gassiat
Judith Rousseau
E. Vernet
97
10
0
19 Jul 2016
Consistent order estimation for nonparametric Hidden Markov Models
Consistent order estimation for nonparametric Hidden Markov Models
Luc Lehéricy
60
16
0
02 Jun 2016
Non Parametric Hidden Markov Models with Finite State Space: Posterior
  Concentration Rates
Non Parametric Hidden Markov Models with Finite State Space: Posterior Concentration Rates
E. Vernet
373
9
0
27 Nov 2015
Clustering Via Finite Nonparametric ICA Mixture Models
Clustering Via Finite Nonparametric ICA Mixture Models
Xiaotian Zhu
David R. Hunter
CML
17
11
0
28 Oct 2015
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
71
32
0
23 Jul 2015
A Robbins Monro algorithm for nonparametric estimation of NAR process
  with Markov-Switching: consistency
A Robbins Monro algorithm for nonparametric estimation of NAR process with Markov-Switching: consistency
L. Fermín
Ricardo Ríos
Luis Angel Rodriguez
53
3
0
14 Jul 2014
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