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Spectral thresholding for the estimation of Markov chain transition
  operators

Spectral thresholding for the estimation of Markov chain transition operators

24 August 2018
Matthias Loffler
A. Picard
ArXivPDFHTML

Papers citing "Spectral thresholding for the estimation of Markov chain transition operators"

27 / 27 papers shown
Title
Learning Markov models via low-rank optimization
Learning Markov models via low-rank optimization
Ziwei Zhu
Xudong Li
Mengdi Wang
Anru R. Zhang
43
17
0
28 Jun 2019
Learning low-dimensional state embeddings and metastable clusters from
  time series data
Learning low-dimensional state embeddings and metastable clusters from time series data
Yifan Sun
Yaqi Duan
Hao Gong
Mengdi Wang
AI4TS
33
19
0
01 Jun 2019
Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of
  Markov Chains
Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of Markov Chains
Yaqi Duan
Mengdi Wang
Zaiwen Wen
Ya-Xiang Yuan
24
7
0
14 Oct 2018
Convergence rates for Penalised Least Squares Estimators in
  PDE-constrained regression problems
Convergence rates for Penalised Least Squares Estimators in PDE-constrained regression problems
Richard Nickl
Sara van de Geer
Sven Wang
34
60
0
24 Sep 2018
Bernstein's inequalities for general Markov chains
Bernstein's inequalities for general Markov chains
Bai Jiang
Qiang Sun
Jianqing Fan
28
45
0
28 May 2018
Estimation of Markov Chain via Rank-Constrained Likelihood
Estimation of Markov Chain via Rank-Constrained Likelihood
Xudong Li
Mengdi Wang
Anru R. Zhang
54
18
0
03 Apr 2018
Nonparametric Bayesian posterior contraction rates for scalar diffusions
  with high-frequency data
Nonparametric Bayesian posterior contraction rates for scalar diffusions with high-frequency data
Kweku Abraham
46
21
0
15 Feb 2018
Spectral State Compression of Markov Processes
Spectral State Compression of Markov Processes
Anru R. Zhang
Mengdi Wang
60
49
0
08 Feb 2018
Bernstein - von Mises theorems for statistical inverse problems I:
  Schrödinger equation
Bernstein - von Mises theorems for statistical inverse problems I: Schrödinger equation
Richard Nickl
67
76
0
06 Jul 2017
Nonparametric Bayesian posterior contraction rates for discretely
  observed scalar diffusions
Nonparametric Bayesian posterior contraction rates for discretely observed scalar diffusions
Richard Nickl
Jakob Sohl
52
76
0
19 Oct 2015
Optimal Estimation of Low Rank Density Matrices
Optimal Estimation of Low Rank Density Matrices
V. Koltchinskii
Dong Xia
51
41
0
17 Jul 2015
Gaussian process methods for one-dimensional diffusions: optimal rates
  and adaptation
Gaussian process methods for one-dimensional diffusions: optimal rates and adaptation
J. van Waaij
Harry Van Zanten
64
37
0
01 Jun 2015
Minimal penalty for Goldenshluger-Lepski method
Minimal penalty for Goldenshluger-Lepski method
C. Lacour
P. Massart
66
37
0
03 Mar 2015
Spectral estimation for diffusions with random sampling times
Spectral estimation for diffusions with random sampling times
Jakub Chorowski
Mathias Trabs
57
11
0
02 Mar 2015
An iterative hard thresholding estimator for low rank matrix recovery
  with explicit limiting distribution
An iterative hard thresholding estimator for low rank matrix recovery with explicit limiting distribution
Alexandra Carpentier
Arlene K. H. Kim
56
15
0
16 Feb 2015
Asymptotics and Concentration Bounds for Bilinear Forms of Spectral
  Projectors of Sample Covariance
Asymptotics and Concentration Bounds for Bilinear Forms of Spectral Projectors of Sample Covariance
V. Koltchinskii
Karim Lounici
110
90
0
20 Aug 2014
Anti-concentration and honest, adaptive confidence bands
Anti-concentration and honest, adaptive confidence bands
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
168
174
0
28 Mar 2013
Sparse PCA: Optimal rates and adaptive estimation
Sparse PCA: Optimal rates and adaptive estimation
Tommaso Cai
Zongming Ma
Yihong Wu
139
327
0
06 Nov 2012
Minimax sparse principal subspace estimation in high dimensions
Minimax sparse principal subspace estimation in high dimensions
Vincent Q. Vu
Jing Lei
122
195
0
02 Nov 2012
Estimation of the transition density of a Markov chain
Estimation of the transition density of a Markov chain
M. Sart
51
25
0
18 Oct 2012
Noisy low-rank matrix completion with general sampling distribution
Noisy low-rank matrix completion with general sampling distribution
Olga Klopp
96
205
0
01 Mar 2012
High-dimensional covariance matrix estimation with missing observations
High-dimensional covariance matrix estimation with missing observations
Karim Lounici
155
183
0
12 Jan 2012
Rank penalized estimators for high-dimensional matrices
Rank penalized estimators for high-dimensional matrices
Olga Klopp
82
50
0
07 Apr 2011
Noisy matrix decomposition via convex relaxation: Optimal rates in high
  dimensions
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
Alekh Agarwal
S. Negahban
Martin J. Wainwright
215
433
0
23 Feb 2011
Nuclear norm penalization and optimal rates for noisy low rank matrix
  completion
Nuclear norm penalization and optimal rates for noisy low rank matrix completion
V. Koltchinskii
Alexandre B. Tsybakov
Karim Lounici
199
662
0
29 Nov 2010
Restricted strong convexity and weighted matrix completion: Optimal
  bounds with noise
Restricted strong convexity and weighted matrix completion: Optimal bounds with noise
S. Negahban
Martin J. Wainwright
188
521
0
10 Sep 2010
Optimal selection of reduced rank estimators of high-dimensional
  matrices
Optimal selection of reduced rank estimators of high-dimensional matrices
F. Bunea
Yiyuan She
M. Wegkamp
214
241
0
18 Apr 2010
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