Niccolo' Anceschi, Ph.D.

I am a 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, Approximate Inference & Scalable Computations.
Current research focuses include methodological advancements with high-impact applications in chemical exposures (e.g. firefighters occupational exposure), ecology (species distribution modeling), and precision medicine (multi-omics data).


Publications


Anceschi N., Fasano A., Durante D. and Zanella G. (2023) Bayesian conjugacy in probit, tobit, multinomial probit and extensions: a review and new results, Journal of the American Statistical Association, 118 (542), 1451-1469

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

Submitted Papers


Anceschi N., Ferrari F., Mallick H. and Dunson D. (2024+) Bayesian Joint Additive Factor Models for Multiview Learning, arXiv:2406.00778

Anceschi N., Rigon T., Zanella G. & Durante D. (2024+) Optimal lower bounds for logistic log- likelihoods, arXiv:2410.10309

Anceschi N., Fasano A., Franzolini A. and Rebaudo G. (2024+) Scalable expectation propagation for generalized linear models, arXiv:2407.02128

Poworoznek E., Anceschi N., Ferrari F. and Dunson D. (2021) Efficiently resolving rotational ambiguity in Bayesian matrix sampling with matching, arXiv:2107.13783


A full pdf version of my CV is available here.

Current Position

Postdoctoral Associate

Duke University, Department of Statistical Science, Durham (NC)
October 2022 - Present

Education

Ph.D. in Statistics

Bocconi University, Milan (IT)
September 2018 - January 2023

M.Sc. in Physics

University of Milan, Milan (IT)
October 2014 - April 2017

B.Sc. in Physics

University of Milan, Milan (IT)
October 2010 - April 2014

Work Experience

Pricing Analyst

June 2017 - June 2018

Teaching

A.Y. 2024-2025
DUKE UNIVERSITY, DURHAM, USA
The Mathematics of Regression - STA211 (B.Sc. Statistics) - Course Instructor

A.Y. 2021-2022
BOCCONI UNIVERSITY, MILAN, ITALY
Computer Science - Module 2 (Computing Theory and Algorithms) (B.Sc. in Mathematical and Computing Sciences for Artificial Intelligence) - Teaching Assistant

UNIVERSITA' DEGLI STUDI DI BERGAMO, BERGAMO, ITALY
Statistics (B.Sc. in Economics and Management) - Teaching Assistant

A.Y. 2020-2021
BOCCONI UNIVERSITY, MILAN, ITALY
Computer Science - Module 2 (Computing Theory and Algorithms) (B.Sc. in Mathematical and Computing Sciences for Artificial Intelligence ) - Teaching Assistant

A.Y. 2019-2020
BOCCONI UNIVERSITY, MILAN, ITALY
Theoretical Computer Science (B.Sc. in Economics, Management and Computer Science) - Teaching Assistant

Other Interests