3 papers
stat.ME2026
Dynamic functional brain connectivity results depend on modeling assumptions: comparing the sliding-window method and the Wishart process for dynamic hypothesis testing
Hester Huijsdens, Linda Geerligs, Max Hinne
Understanding the temporal dynamics of functional brain connectivity is important for addressing various questions in network neuroscience, such as how connectivity affects cogniti…
cs.LG2026
Neural Co-state Policies: Structuring Hidden States in Recurrent Reinforcement Learning
David Leeftink, Max Hinne, Marcel van Gerven
A key capability of intelligent agents is operating under partial observability: reasoning and acting effectively despite missing or incomplete state observations. While recurrent…
stat.ME2024
Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo
Hester Huijsdens, David Leeftink, Linda Geerligs +1
Several disciplines, such as econometrics, neuroscience, and computational psychology, study the dynamic interactions between variables over time. A Bayesian nonparametric model kn…