activity
19972025
most citedCorrelated Binomial Models and Correlation Structures

64 citations · 371 across the 37 of their papers we have counts for

collaborators

38 papers

q-fin.RM2025

Phase transition in a long-memory log-Gaussian Cox process

Masato Hisakado, Shintaro Mori

We study a stochastic point process with power-law temporal correlations driven by hidden variables. We show that a generalized Merton-type model under an exponential-tail asset as…

physics.soc-ph2025

Ornstein-Uhlenbeck Process for Horse Race Betting: A Micro-Macro Analysis of Herding and Informed Bettors

Tomoya Sugawara, Shintaro Mori

We model the time evolution of single win odds in Japanese horse racing as a stochastic process, deriving an Ornstein--Uhlenbeck process by analyzing the probability dynamics of vo…

cs.NE2024

The Impact of Network Structure on Ant Colony Optimization

Taiyo Shimizu, Shintaro Mori

Ant Colony Optimization (ACO) is a swarm intelligence methodology utilized for solving optimization problems through information transmission mediated by pheromones. As ants sequen…

cond-mat.stat-mech2024

Structural Properties of the Asymmetric Barabási-Albert Model in the Lattice Limit

Kazuaki Nakayama, Masato Hisakado, Shintaro Mori

The Asymmetric BA model extends the Barabási-Albert scale-free network model by introducing a parameter . As varies, the model transitions through different network structur…

cond-mat.stat-mech2024

Annealing of Ant Colony Optimization in the infinite-range Ising model

Shintaro Mori, Taiyo Shimizu, Masato Hisakado +1

Ant colony optimization (ACO) leverages the parameter to modulate the decision function's sensitivity to pheromone levels, balancing the exploration of diverse solutions with t…

physics.soc-ph2023★ 1 cited

Information cascade on networks and phase transitions

Masato Hisakado, Kazuaki Nakayama, Shintaro Mori

Herein, we consider a voting model for information cascades on several types of networks -- a random graph, the Barabási-Albert(BA) model, and lattice networks -- by using one para…