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Optimal prediction of Markov chains with and without spectral gap
v1v2 (latest)

Optimal prediction of Markov chains with and without spectral gap

26 June 2021
Yanjun Han
Soham Jana
Yihong Wu
ArXiv (abs)PDFHTML

Papers citing "Optimal prediction of Markov chains with and without spectral gap"

5 / 5 papers shown
Title
Estimating stationary mass, frequency by frequency
Estimating stationary mass, frequency by frequency
Milind Nakul
Vidya Muthukumar
A. Pananjady
95
0
0
17 Mar 2025
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
Concentration Bounds for Discrete Distribution Estimation in KL
  Divergence
Concentration Bounds for Discrete Distribution Estimation in KL Divergence
C. Canonne
Ziteng Sun
A. Suresh
111
4
0
14 Feb 2023
Hold-out estimates of prediction models for Markov processes
Hold-out estimates of prediction models for Markov processes
Rémy Garnier
Raphael Langhendries
Joseph Rynkiewicz
55
4
0
12 Apr 2022
How good is Good-Turing for Markov samples?
How good is Good-Turing for Markov samples?
Prafulla Chandra
A. Thangaraj
Nived Rajaraman
36
2
0
03 Feb 2021
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