Shuhei MANO

E-mail: smano at ism.ac.jp

The Institute of Statistical Mathematics
10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan

More information is available on my page in Researchmap.

Research Interests

I am working around applied probability and statistics. I am mainly interested in representations and combinatorial algorithms in stochastic and scientific computing. Recent topics include

Markov chains and their representations: combinatorial processes, diffusions, random structures and walks
Monte Carlo methods with computational algebra, hypergeometric functions, and quantum computing
Exchangeability in Bayesian-mixture and extreme-value modelling and uncertainty quantification
Partial differential equations and differential geometry in model-based inferences

Papers

Direct sampling from conditional distributions by sequential maximum likelihood estimations. arXiv: 2502.00812 poster
Algebraic algorithm for direct sampling from toric models and hypergeometric functions, with Nobuki Takayama. arXiv: 2110.14922
Asymptotic bias reduction of maximum likelihood estimates via penalized likelihoods with differential geometry, with Masayo Y. Hirose. arXiv: 2011.14747
Asymptotic UMVUE: Asymptotic moments matching the UMVUE under the Ewens sampling formula, with Masayo Y. Hirose. Calcutta Stat. Assoc. Bull. 75(2): 197-219 (2023) paper
A measure-on-graph-valued diffusion: a particle system with collisions and its applications. Mathematics. Special Issue: Random Combinatorial Structures,10: 4081 (2022)
A nonparametric method to assess significance of events in search for gravitational waves with false discovery rate, with Hideyuki Tagoshi and Hirotaka Yuzurihara. Prog. Theor. Exp. Phys. 2021: 123F01 (2021) paper
Parameter estimation of generalized beta distributions and its application to a historical tsunami magnitude dataset, with Masaaki Sibuya. Pioneering Works on Extreme Value Theory: In Honor of Professor Masaaki Sibuya, 1-25, Springer, 2021

Book

Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics, Springer, 2018. errata

Miscellanea

Recognition, a recreation in Bayesian updating. Column of Inst. Stat. Math. News 129 (2015)

Last updated: April 1, 2025