School (17th edition) will be held in Florence, Italy.

                     BAYESIAN CAUSAL INFERENCE

                        8-12 June, 2020

Lecturer: Prof. Fan Li, Duke University, Durham, NC, USA

Further details are provided below.

Guido Consonni and Fabrizio Ruggeri

ABS20 Directors

Raffaele Argiento and Antonio Pievatolo

ABS20 Executive Directors

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          *            ABS20            *

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        Applied Bayesian Statistics School

    BAYESIAN CAUSAL INFERENCE

Florence Center for Data Science, University of Florence

                  Florence, Italy

          8-12 June, 2020

Lecturer:  Prof. Fan Li (Department of Statistical Science,

           Duke University, Durham, NC, USA)

           https://stat.duke.edu/people/fan-li

The conference webpage is

>>> http://www.mi.imati.cnr.it/conferences/abs20/index.html <<<

Registration is now open to reserve a place (but payments are possible

only from early January). Please note that the conference room allows

only for a very limited number of participants.

COURSE OUTLINE

The aim of this course is to introduce the fundamental concepts and

state-of-art methods for causal inference under the potential outcome

framework. The lectures will be organized by the treatment assignment

mechanisms. Topics will cover randomized experiments, observational

studies with ignorable assignment mechanisms, natural experiments,

sequential ignorable longitudinal treatments. Recent advances related

to machine learning and more complex situations such as spatial-temporal

treatments and interference will also be discussed. All methods will

be illustrated via real case studies in health studies, economics and

biology. Though the causal framework and most of the methods are

independent of the inferential paradigm, an emphasis will be put on the

Bayesian paradigm for inference.

TENTATIVE PROGRAM

See the daily program on the website.

PRACTICAL INFORMATION

The school will replicate the successful format of the previous years,

and will feature lectures and practical sessions (run by a junior researcher),

as well as participants' talks. It will start on Monday after lunch and end

on Friday before lunch; Wednesday afternoon is free. Info on accommodation

will appear soon on the website. Florence (Firenze) is easily accessible by train,

airplane or car.