[ABE-L] Fwd: Fw: CIRS/SWB Webinar on "Bayesian Variable Selection." March 6, 12 PM ET

[Kelly Cristina]

Caros colegas,

A pedido da professora Alexandra Schmidt da McGill University, segue abaixo
a divulgação de Webinar a ser ministrado pela professora Marina Vannucci (Rice
University) no dia 06 de março.

Obrigada.

Atenciosamente,

--------------------------------------------------------


Dear Colleagues,


We are excited to announce our upcoming CIRS/SWB Webinar titled *“Bayesian
Variable Selection”* by *Professor Marina Vannucci* to take place on
*Wedensday,
March 6, 2024,  12-1:30 PM ET.*



Our webinar series, sponsored jointly by the American Statistical
Association’s Committee on International Relations in Statistics (CIRS) and
by Statistics Without Borders (SWB), provides introductory lectures by
experts on important topics of current interest, and is aimed at an
international audience.

Please join us by registering for this webinar and *help us spread the word
by forwarding this to colleagues you think might be interested*.
Participation is free but registration is required (register here
<https://amstat.zoom.us/webinar/register/WN_lYW5bi3HTs6GKoqES5_T9w#/registration>
).


We look forward to seeing you there!



*Tile: *Bayesian Variable Selection



*Speaker: *Dr. Marina Vannucci



*Abstract*: Bayesian variable selection has experienced substantial
developments over the past 30 years with the proliferation of large data
sets. Identifying relevant variables to include in a model allows simpler
interpretation, avoids overfitting and multicollinearity, and can provide
insights into the mechanisms underlying an observed phenomenon. Variable
selection is especially important when the number of potential predictors
is substantially larger than the sample size and sparsity can reasonably be
assumed. In this webinar I will provide an overview of Bayesian methods for
variable selection, including spike-and-slab priors and shrinkage
priors. I will
focus on regression settings and will discuss prior constructions that
account for specific dependence structures in the covariates. I will also
describe extensions of the models to non-Gaussian data. Throughout the
talk, I will motivate the development of the models using specific
applications from neuroimaging and genomics.





*About the presenter:*

Dr. Vannucci is Noah Harding Professor of Statistics. She is also an
adjunct faculty member of the UT M.D. Anderson Cancer Center, TX. Dr.
Vannucci is generally interested in the development of Bayesian statistical
models for complex problems and in applications to Science. She has
contributed to methodological research on Bayesian variable selection
techniques for linear settings, mixture models and graphical models, and to
related computational algorithms. Her research is often motivated by real
problems that need to be addressed with suitable statistical methods. She
has a solid history of scientific collaborations and is particularly
interested in applications of Bayesian inference to high-throughput
genomics and to neuroscience and neuroimaging. Dr. Vannucci was the
recipient of an NSF CAREER award in 2001. She is an elected Member of the
International Statistical Institute (ISI), and an elected Fellow of the
American Statistical Association (ASA), the Institute of Mathematical
Statistics (IMS), the American Association for the Advancement of Science
(AAAS), and the International Society for Bayesian Analysis (ISBA). She
holds a Laurea (B.S.) in Mathematics and a Ph.D. in Statistics, both from
the University of Florence, Italy.





----------------------------------------------------------------------------------------------------------------------------

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<https://form.jotform.com/zzlalo/friends-of-cirs>**.   Friends of the
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webinars, conference funding opportunities, networking events, job
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activities and opportunities to volunteer.  All are welcome!*



*Did you know that ASA lowered the membership fee for individuals from
developing countries to $10?  Visit the membership page for more
information about becoming an ASA member: **https://www.amstat.org/membership/
<https://www.amstat.org/membership/>*









Committee on International Relations in Statistics
<https://community.amstat.org/committeeoninternationalrelationsinstatistics/home>

<https://community.amstat.org/committeeoninternationalrelationsinstatistics/home>

Alexandra M. Schmidt
Professor - The University Chair
McGill University
*http://alex-schmidt.research.mcgill.ca/
<http://alex-schmidt.research.mcgill.ca/>*


-- 
*Kelly C. M. Gonçalves*
*Professora Associada I*
*Departamento de Métodos Estatísticos*
*Universidade Federal do Rio de Janeiro*

*https://sites.google.com/dme.ufrj.br/kelly/
<https://sites.google.com/dme.ufrj.br/kelly/>*
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