3 papers
stat.ME2025
Adaptive Inference through Bayesian and Inverse Bayesian Inference with Symmetry-Bias in Nonstationary Environments
Shuji Shinohara, Daiki Morita, Hayato Hirai +6
This study proposes the novel Bayesian and inverse Bayesian (BIB) inference framework that incorporates symmetry bias into the Bayesian updating process to perform both conventiona…
physics.soc-ph2025
A Simple Walk Model for Reproducing Power Laws in Human mobility
Shuji Shinohara, Daiki Morita, Hayato Hirai +6
Identifying statistical patterns characterizing human trajectories is crucial for public health, traffic engineering, city planning, and epidemic modeling. Recent developments in g…
cs.AI2020
Lévy walks derived from a Bayesian decision-making model in non-stationary environments
Shuji Shinohara, Nobuhito Manome, Yoshihiro Nakajima +5
Lévy walks are found in the migratory behaviour patterns of various organisms, and the reason for this phenomenon has been much discussed. We use simulations to demonstrate that le…