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19972026
most citedQuantum information with Gaussian states

394 citations · 7.2k across the 232 of their papers we have counts for

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6 papers · 1 filter

math.ST2022

Significance improvement by randomized test in random sampling without replacement

Zihao Li, Huangjun Zhu, Masahito Hayashi

This paper studies one-sided hypothesis testing under random sampling without replacement. That is, when binary random variables are subject to a permut…

math.ST2018★ 4 cited

Optimal Mechanism for Randomized Responses under Universally Composable Security Measure

Yuuya Yoshida, Man-Hong Yung, Masahito Hayashi

We consider a problem of analyzing a global property of private data through randomized responses subject to a certain rule, where private data are used for another cryptographic p…

math.ST2018★ 4 cited

Local Equivalence Problem in Hidden Markov Model

Masahito Hayashi

In the hidden Markov process, there is a possibility that two different transition matrices for hidden and observed variables yield the same stochastic behavior for the observed va…

math.ST2017★ 6 cited

Information Geometry Approach to Parameter Estimation in Hidden Markov Models

Masahito Hayashi

We consider the estimation of the transition matrix of a hidden Markovian process by using information geometry with respect to transition matrices. In this paper, only the histogr…

math.ST2014★ 28 cited

Information Geometry Approach to Parameter Estimation in Markov Chains

Masahito Hayashi, Shun Watanabe

We consider the parameter estimation of Markov chain when the unknown transition matrix belongs to an exponential family of transition matrices. Then, we show that the sample mean…

math.ST2014★ 37 cited

Finite-length Analysis on Tail probability for Markov Chain and Application to Simple Hypothesis Testing

Shun Watanabe, Masahito Hayashi

Using terminologies of information geometry, we derive upper and lower bounds of the tail probability of the sample mean. Employing these bounds, we obtain upper and lower bounds o…