Dear all,

On Thursday 6th of February at 12:30pm, the Department of Methods and Models for Economy, Territory and Finance (MEMOTEF) at Sapienza University in Rome will host a seminar by Stefano Favaro, Università degli Studi di Torino e Collegio Carlo Alberto.

Title: Quasi-Bayes empirical Bayes: a sequential approach to the Poisson compound decision problem. Abstract: The Poisson compound decision problem is a classical problem in statistics, for which parametric and nonparametric empirical Bayes methodologies are available to estimate Poisson's means in static or batch domains. We study the Poisson compound decision problem in a streaming or online domain, where a timely analysis can enhance decision-making and responsiveness to new information, especially for data arriving at high-velocity. By relying on a quasi-Bayesian sequential (learning) model for the data, often referred to as Newton's algorithm, we obtain sequential Poisson's mean estimates that are of easy evaluation, computationally efficient and with a constant computational cost as data increase, which is desirable for streaming data. Large sample asymptotic properties of the proposed estimates are investigated, also providing frequentist guarantees in terms of a regret analysis. We validate empirically our methodology, both on synthetic and real data, comparing against the most popular alternatives. Joint work with Sandra Fortini (Bocconi University).

When: Thursday 06/02/2025, 12:30pm Where: Via del Castro Laurenziano 9, 00161, Rome Meeting room: Aula Di Fresco, 4th Floor (Ala Ammistrazione)

You are welcome to attend!

Best wishes, Francesca Panero

------------------------------------------- Dr Francesca Panero (she/her) Assistant Professor in Statistics (RTT), Department of Methods and Models for Economics, Territory and Finance Sapienza University, Rome

Visiting Fellow, Department of Statistics London School of Economics and Political Science

Website: https://francescapanero.github.io