Media Summary: The Second Workshop of the Italian Statistical Society group SISBayes will be held at the Department of Statistical Table of Contents (powered by 0:00:00 Bayesian Prediction with Streaming Data - Title: On asymptotic exchangeability and graph evolution Speaker: Professor

Sonia Petrone Decision Sciences - Detailed Analysis & Overview

The Second Workshop of the Italian Statistical Society group SISBayes will be held at the Department of Statistical Table of Contents (powered by 0:00:00 Bayesian Prediction with Streaming Data - Title: On asymptotic exchangeability and graph evolution Speaker: Professor A subjective tour through foundations and modern trends. It is a foundational principle in Bayesian Statistics that probability should be expressed on observable facts - on the observable Xi. Title: Bayesian uncertainty quantification for recursive predictive algorithms Speaker: Professor

Tianyu Li and Nabihah Tayob, Bayesian Optimal Interval (BOIN) Design for Phase I Trials: Design and MonitoringThis session will ... ... Giulia Giupponi (Social and Political Sciences), Katrin Goedker (Finance), Hamsa Bastani - Wharton School, University of Pennsylvania. This hands-on tutorial introduces practical Bayesian inference using PyMC, focusing on A/B testing,

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Sonia Petrone - Decision Sciences
SISBAYES 2025 - Sonia Petrone, Bayesian predictive-based uncertainty quantification
Bayesian Prediction with Streaming Data - Sonia Petrone - MLSS 2020, Tübingen
Prof. Sonia Petrone | On asymptotic exchangeability and graph evolution
Sonia Petrone - Foundational Lecture - ISBA World Meeting 2016 - Sardinia
Sonia Petrone BNP-ISBA December 5 2022
Sonia Petrone (Bocconi University) - Bayesian predictive inference
Prof. Sonia Petrone | Bayesian uncertainty quantification for recursive predictive algorithms
A Decision Analytic Framework for Bayesian Updating of Probability of Success in Clinical Trials
Training Session - Bayesian Phase I Trial Designs
Bocconi Women of Science - Trailer
The Winner’s Curse in Data-Driven Decision-Making
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Sonia Petrone - Decision Sciences

Sonia Petrone - Decision Sciences

Sonia Petrone

SISBAYES 2025 - Sonia Petrone, Bayesian predictive-based uncertainty quantification

SISBAYES 2025 - Sonia Petrone, Bayesian predictive-based uncertainty quantification

The Second Workshop of the Italian Statistical Society group SISBayes will be held at the Department of Statistical

Bayesian Prediction with Streaming Data - Sonia Petrone - MLSS 2020, Tübingen

Bayesian Prediction with Streaming Data - Sonia Petrone - MLSS 2020, Tübingen

Table of Contents (powered by https://videoken.com) 0:00:00 Bayesian Prediction with Streaming Data -

Prof. Sonia Petrone | On asymptotic exchangeability and graph evolution

Prof. Sonia Petrone | On asymptotic exchangeability and graph evolution

Title: On asymptotic exchangeability and graph evolution Speaker: Professor

Sonia Petrone - Foundational Lecture - ISBA World Meeting 2016 - Sardinia

Sonia Petrone - Foundational Lecture - ISBA World Meeting 2016 - Sardinia

A subjective tour through foundations and modern trends.

Sonia Petrone BNP-ISBA December 5 2022

Sonia Petrone BNP-ISBA December 5 2022

Predictive-based Bayesian learning.

Sonia Petrone (Bocconi University) - Bayesian predictive inference

Sonia Petrone (Bocconi University) - Bayesian predictive inference

It is a foundational principle in Bayesian Statistics that probability should be expressed on observable facts - on the observable Xi.

Prof. Sonia Petrone | Bayesian uncertainty quantification for recursive predictive algorithms

Prof. Sonia Petrone | Bayesian uncertainty quantification for recursive predictive algorithms

Title: Bayesian uncertainty quantification for recursive predictive algorithms Speaker: Professor

A Decision Analytic Framework for Bayesian Updating of Probability of Success in Clinical Trials

A Decision Analytic Framework for Bayesian Updating of Probability of Success in Clinical Trials

Speaker: Tom Keelin.

Training Session - Bayesian Phase I Trial Designs

Training Session - Bayesian Phase I Trial Designs

Tianyu Li and Nabihah Tayob, Bayesian Optimal Interval (BOIN) Design for Phase I Trials: Design and MonitoringThis session will ...

Bocconi Women of Science - Trailer

Bocconi Women of Science - Trailer

... Giulia Giupponi (Social and Political Sciences), Katrin Goedker (Finance),

The Winner’s Curse in Data-Driven Decision-Making

The Winner’s Curse in Data-Driven Decision-Making

Hamsa Bastani - Wharton School, University of Pennsylvania.

Allen Downey - Bayesian Decision Analysis with PyMC: Beyond A/B Testing - PyData Global 2025

Allen Downey - Bayesian Decision Analysis with PyMC: Beyond A/B Testing - PyData Global 2025

This hands-on tutorial introduces practical Bayesian inference using PyMC, focusing on A/B testing,