4 papers
Anchored Reversible Jump Sequential Monte Carlo
Janna van Assen, Max Hinne
Reversible Jump Markov Chain Monte Carlo (RJMCMC) is a principled framework for Bayesian model comparison, but its practical use is often limited due to the difficulty of designing…
Hidden States as Value Gradients: The Pontryagin Structure of Recurrent Policies
David Leeftink, Max Hinne, Marcel van Gerven
A key capability of intelligent agents is to act effectively under incomplete state observations. Recurrent policies address this by compressing observation histories into a hidden…
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…
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…