2 papers
math.ST2025
Asymptotic mixed normality of maximum likelihood estimator for Ewens--Pitman partition
Takuya Koriyama, Takeru Matsuda, Fumiyasu Komaki
This paper investigates the asymptotic properties of parameter estimation for the Ewens--Pitman partition with parameters and . Especially, we show that the maximu…
math.NA2024
Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression
Yuto Miyatake, Kaoru Irie, Takeru Matsuda
This paper presents a new Bayesian framework for quantifying discretization errors in numerical solutions of ordinary differential equations. By modelling the errors as random vari…