Reminder : Andrew Gelman - October 11, 2022

[All About That Bayes]

Dear all,

a gentle reminder that Andrew Gelman is giving a talk, October 11, 2022 at 2 p.m. (UTC+1). It will take place at Campus Pierre et Marie Curie (Sorbonne Université), room 16-26-209.

We are looking forward seeing you all.

The organising team

Prior distribution for causal inference

In Bayesian inference, we must specify a model for the data (a likelihood) and a model for parameters (a prior). Consider two questions:

1. Why is it more complicated to specify the likelihood than the prior?

2. In order to specify the prior, how could can we switch between the theoretical literature (invariance, normality assumption, ...) and the applied literature (experts elicitation, robustness, ...)?

I will discuss those question in the domain of causal inference: prior distributions for causal effects, coefficients of regression and the other parameters in causal models.

[All About That Bayes]

Dear all,

a gentle reminder that Andrew Gelman is giving a talk today October 11, 2022 at 2 p.m. (UTC+1). 

It will take place at Campus Pierre et Marie Curie (Sorbonne Université).

Note that the room has changed: Room 15-16-201.

The talk will also be broadcasted on Zoom (see link below).

We are looking forward seeing you all.

The organising team

Prior distribution for causal inference

In Bayesian inference, we must specify a model for the data (a likelihood) and a model for parameters (a prior). Consider two questions:

1. Why is it more complicated to specify the likelihood than the prior?

2. In order to specify the prior, how could can we switch between the theoretical literature (invariance, normality assumption, ...) and the applied literature (experts elicitation, robustness, ...)?

I will discuss those question in the domain of causal inference: prior distributions for causal effects, coefficients of regression and the other parameters in causal models.

Sujet : all about that bayes seminar - Andrew Gelman - Prior distribution for causal inference
Heure : 11 oct. 2022 02:00 PM Paris

Participer à la réunion Zoom
https://univ-grenoble-alpes-fr.zoom.us/j/93236504120?pwd=WngySU9FSzJGYVE3b253Ympubk9kdz09

ID de réunion : 932 3650 4120
Code secret : 369362