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Filippo Ascolani

Assistant Professor of Statistical Science
Statistical Science
214 Old Chemistry, Box 90251, Durham, NC 27708-0251
415 Chapel Drive, 214 Old Chemistry, Durham, NC 27708-0251

Current Appointments & Affiliations


Assistant Professor of Statistical Science · 2024 - Present Statistical Science, Trinity College of Arts & Sciences

Recent Publications


An R Package for Nonparametric Inference on Dynamic Populations with Infinitely Many Types.

Journal Article Journal of computational biology : a journal of computational molecular cell biology · December 2024 Fleming-Viot diffusions are widely used stochastic models for population dynamics that extend the celebrated Wright-Fisher diffusions. They describe the temporal evolution of the relative frequencies of the allelic types in an ideally infinite panmictic po ... Full text Cite

Nonparametric priors with full-range borrowing of information

Journal Article Biometrika · September 1, 2024 Modelling of the dependence structure across heterogeneous data is crucial for Bayesian inference, since it directly impacts the borrowing of information. Despite extensive advances over the past two decades, most available methods only allow for nonnegati ... Full text Cite

DIMENSION-FREE MIXING TIMES OF GIBBS SAMPLERS FOR BAYESIAN HIERARCHICAL MODELS

Journal Article Annals of Statistics · June 1, 2024 Gibbs samplers are popular algorithms to approximate posterior distributions arising from Bayesian hierarchical models. Despite their popularity and good empirical performance, however, there are still relatively few quantitative results on their convergen ... Full text Cite
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Education, Training & Certifications


Bocconi University (Italy) · 2024 Ph.D.
University of Turin (Italy) · 2019 M.S.

External Links


Personal webpage