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 mainly interested in the interplay between combinatorial algorithms and representations in stochastic problems around data science. Recent topics include
- Markov chains and their representations: combinatorial processes, diffusions, and random structures
- Algebraic Monte Carlo methods with computational algebra, hypergeometric functions, and quantum computing
- Exchangeability in Bayesian-mixture and extreme-value modelling and hypothesis testing
- Differential geometry for partial differential equations arising in model-based inferences
Papers
- Algebraic algorithm for direct sampling from toric models,
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
- 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)
- 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
Last updated: March 25, 2024