We are glad to announce that the 2020 Applied Bayesian Statistics Summer 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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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
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.