3 papers
math.PR2026
Error analysis for learning fractional stochastic differential equations with applications in neural approximations
Mahdi Dehshiri, Kerlyns Martinez, Lauri Viitasaari
This paper develops a framework for the error analysis in nonparametric model fitting of fractional stochastic differential equations based on discrete observations. We identify an…
cs.AI2024
Algorithmic Identification of Essential Exogenous Nodes for Causal Sufficiency in Brain Networks
Abdolmahdi Bagheri, Mahdi Dehshiri, Babak Nadjar Araabi +1
In the investigation of any causal mechanisms, such as the brain's causal networks, the assumption of causal sufficiency plays a critical role. Notably, neglecting this assumption…
cs.LG2024
Brain Effective Connectome based on fMRI and DTI Data: Bayesian Causal Learning and Assessment
Abdolmahdi Bagheri, Mahdi Dehshiri, Yamin Bagheri +2
Neuroscientific studies aim to find an accurate and reliable brain Effective Connectome (EC). Although current EC discovery methods have contributed to our understanding of brain o…