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Sayan Mukherjee

Research Professor of Statistical Science
Statistical Science
Duke Box 90251, Durham, NC 27710
112 Old Chemistry Building, 90251, Durham, NC 27708

Current Appointments & Affiliations


Research Professor of Statistical Science · 2024 - Present Statistical Science, Trinity College of Arts & Sciences
Research Professor of Mathematics · 2024 - Present Mathematics, Trinity College of Arts & Sciences
Professor of Biostatistics & Bioinformatics · 2021 - Present Biostatistics & Bioinformatics, Basic Science Departments

Recent Publications


Regularized Bayesian best response learning in finite games

Journal Article Games and Economic Behavior · January 1, 2025 We introduce the notion of regularized Bayesian best response (RBBR) learning dynamic in heterogeneous population games. We obtain such a dynamic via perturbation by an arbitrary lower semicontinuous, strongly convex regularizer in Bayesian population game ... Full text Cite

Greybox Learning of Languages Recognizable by Event-Recording Automata

Conference Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 2025 In this paper, we revisit the active learning of timed languages recognizable by event-recording automata. Our framework employs a method known as greybox learning, which enables the learning of event-recording automata with a minimal number of control sta ... Full text Cite

Representing fields without correspondences: the lifted Euler characteristic transform

Journal Article Journal of Applied and Computational Topology · March 1, 2024 Topological transforms have been very useful in statistical analysis of shapes or surfaces without restrictions that the shapes are diffeomorphic and requiring the estimation of correspondence maps. In this paper we introduce two topological transforms tha ... Full text Cite
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External Links


GitHub Profile