Niccolo' Anceschi, Ph.D.
I am Postdoctoral Associate in Statistics at Duke University in Durham, NC (USA).
My research interests are in Bayesian Methods and Computation, Dimensionality Reduction, High-dimensional Regression, Mixed-measurement Data, Variational Inference & Scalable Computations.
Publications & Working Papers
Anceschi N., Ferrari F., Mallick H. and Dunson D. (2023+)
Joint Additive Factor Regression for Multi-Omics Data Integration (in preparation)
Anceschi N., Rigon T., Durante D. and Zanella G. (2023+)
Optimal lower bounds for logistics likelihoods (in preparation)
Anceschi N., Fasano A., Durante D. and Zanella G. (2023)
Unified skew-normal conjugacy in probit, tobit, multinomial probit and extensions: A review and new results, Journal of the American Statistical Association
(in press)
Fasano A., Rebaudo G. and
Anceschi N., (2022)
Bayesian inference for the multinomial probit model under Gaussian prior distribution, Book of short papers - SIS 2022,
871–876
Anceschi N., Hidalgo J., Plata. C., Bellini T., Maritan A., Suweis S. (2019)
Neutral and niche forces as drivers of species selection, Journal of Theoretical Biology
483, 109969