Hayato Takahashi

Orcid: 0000-0002-2699-2883

Affiliations:
  • Random Data Lab. Inc., Tokyo, Japan
  • Gifu University, Organization for Promotion of Higher Education and Student Support, Gifu City, Japan (former)
  • The Institute of Statistical Mathematics, Tokyo, Japan (former)


According to our database1, Hayato Takahashi authored at least 20 papers between 2003 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Bayesian definition of random sequences with respect to conditional probabilities.
Inf. Comput., June, 2023

2021
The explicit formula of the distributions of the nonoverlapping words and its applications to statistical tests for random numbers.
CoRR, 2021

2018
The distributions of sliding block patterns in finite samples and the inclusion-exclusion principles for partially ordered sets.
CoRR, 2018

2017
Conditional Probabilities and van Lambalgen's Theorem Revisited.
Theory Comput. Syst., 2017

Recent progress on conditional randomness.
CoRR, 2017

2014
Universal test for Hippocratic randomness.
CoRR, 2014

2013
Generalization of van Lambalgen's theorem and blind randomness for conditional probability.
CoRR, 2013

2012
Algorithmic randomness and stochastic selection function
CoRR, 2012

2011
Computational Limits to Nonparametric Estimation for Ergodic Processes.
IEEE Trans. Inf. Theory, 2011

Algorithmic randomness and monotone complexity on product space.
Inf. Comput., 2011

Weak randomness and Kamae's theorem on normal numbers
CoRR, 2011

Some limits to nonparametric estimation for ergodic processes.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Algorithmic Analogies to Kamae-Weiss Theorem on Normal Numbers.
Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011

2008
On a definition of random sequences with respect to conditional probability.
Inf. Comput., 2008

2006
Bayesian approach to a definition of random sequences and its applications to statistical inference.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

2005
Bayesian approach to a definition of random sequences with respect to parametric models.
Proceedings of the IEEE ITSOC Information Theory Workshop 2005 on Coding and Complexity, 2005

2004
Redundancy of universal coding, Kolmogorov complexity, and Hausdorff dimension.
IEEE Trans. Inf. Theory, 2004

2003
Bayes code with singular prior.
Syst. Comput. Jpn., 2003

Algorithmic analysis of irrational rotations in a single neuron model.
J. Complex., 2003

Analysis of Randomized Local Search Algorithm for LDPCC Decoding Problem.
Proceedings of the Stochastic Algorithms: Foundations and Applications, 2003


  Loading...