1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2024★ 1 cited
Bayesian Parameter Estimation of Normal Distribution from Sample Mean and Extreme Values
Tomoki Matsumoto
This paper proposes a Bayesian method for estimating the parameters of a normal distribution when only limited summary statistics (sample mean, minimum, maximum, and sample size) a…
stat.CO2024
Parallelizing MCMC with Machine Learning Classifier and Its Criterion Based on Kullback-Leibler Divergence
Tomoki Matsumoto
In the era of Big Data, Markov chain Monte Carlo (MCMC) methods, which are currently essential for Bayesian estimation, face significant computational challenges owing to their seq…