[ABE-L] Fwd: Bayesian Statistical Science Section : AAAS Section U Statistics Webinar with Christopher K. Wikle

Seg Abr 14 10:26:38 -03 2025

---------- Forwarded message ---------
From: Giri Gopalan via American Statistical Association <
Mail em connectedcommunity.org>
Date: Sun, Apr 13, 2025 at 11:46 PM
Subject: Bayesian Statistical Science Section : AAAS Section U Statistics
Webinar with Christopher K. Wikle
To: <hedibert em gmail.com>

Apologies for posting to several lists. The American Association for the
Advancement of Science (AAAS) Statistics Section (U) is thrilled to...
-posted to the "Bayesian Statistical Science Section" community
Please note that using your email client's "Reply" option will send your
response to all members of the discussion group. To send a private message
to one person, click the blue "Reply to Sender" button at the upper right
of their post.
------------------------------
Bayesian Statistical Science Section
<https://community.amstat.org/communities/community-home/digestviewer?CommunityKey=2aa44f7d-bf76-4d9e-b54f-b71275d6dc89>
Post New Message Online
<http://community.amstat.org/participate/postmessage?GroupId=1675&ListKey=0f3a64aa-5c7c-4edc-b878-fabde72239a2>
AAAS Section U Statistics Webinar with Christopher K. Wikle
<https://community.amstat.org/discussion/aaas-section-u-statistics-webinar-with-christopher-k-wikle-2#bmf2fe7782-4f6b-489b-b632-eb296d3e25eb>
Reply to Group Online
<https://community.amstat.org/communities/all-discussions/postreply?MessageKey=f2fe7782-4f6b-489b-b632-eb296d3e25eb&ListKey=0f3a64aa-5c7c-4edc-b878-fabde72239a2>
Reply
to Sender
<https://community.amstat.org/communities/all-discussions/postreply?MessageKey=f2fe7782-4f6b-489b-b632-eb296d3e25eb&ListKey=0f3a64aa-5c7c-4edc-b878-fabde72239a2&SenderKey=18e9454c-b7f2-4c28-8f8a-fb2a17b5ed81>
[image: Giri Gopalan]
<https://community.amstat.org/profile?UserKey=18e9454c-b7f2-4c28-8f8a-fb2a17b5ed81>
Apr 13, 2025 10:47 PM
Giri Gopalan
<https://community.amstat.org/profile?UserKey=18e9454c-b7f2-4c28-8f8a-fb2a17b5ed81>

*Apologies for posting to several lists.*

The American Association for the Advancement of Science (AAAS) Statistics
Section (U) is thrilled to invite you to an upcoming Section U webinar
featuring Christopher K. Wikle, Curators' Distinguished Professor,
Department of Statistics, U. Missouri (MU).

*Hybrid Statistical/AI Models for Spatio-Temporal Data: Wildland Fire
Applications*

April 24th, 2025

Eastern Time (ET): 1:00 PM

Central Time (CT): 12:00 PM

Mountain Time (MT): 11:00 AM

Pacific time (PT): 10:00 AM

Registration Link
<https://docs.google.com/forms/d/e/1FAIpQLSckCUlsvwWrseuJTZ1Tunxb0NxBsMBhyzcv91tQCPWiuUjtXA/viewform>

(https://docs.google.com/forms/d/e/1FAIpQLSckCUlsvwWrseuJTZ1Tunxb0NxBsMBhyzcv91tQCPWiuUjtXA/viewform)
<https://docs.google.com/forms/d/e/1FAIpQLSckCUlsvwWrseuJTZ1Tunxb0NxBsMBhyzcv91tQCPWiuUjtXA/viewform>

*Abstract:*

Millions of acres of land are destroyed by wildfires every year, and these
fires pose a significant threat to humans both in terms of property damage
and loss of life, as well as significantly impacting the ecosystem. It is
important to develop trustworthy models that can be used to manage and
mitigate large wildfires. Spatio-temporal data such as those associated
with wildfires are ubiquitous in the sciences, medicine, and engineering,
and their study is important for understanding and predicting a wide
variety of processes. One of the difficulties with statistical modeling of
spatial processes that change in time is the complexity of the dependence
structures that must describe how such a process varies, and the presence
of high-dimensional complex datasets and large prediction domains. A
perfect example is modeling the evolution of a wildfire, which has many
factors contributing to its growth and spread.  It has long been the case
that deep (hierarchical) statistical models have proven helpful for such
data, yet these models can be difficult to implement for various reasons.
Incorporating mechanistic processes within the hierarchical modeling
framework has proven helpful.  Increasingly, black-box neural ("AI") models
are being used for spatio-temporal data as well, capitalizing the strength
of those models to learn complex dependence structures. The downside of
such models is the requirement for large amounts of training data,
interpretability, and uncertainty quantification. It is natural to consider
hybrid models that address some of these issues. Here, after a brief
background on spatio-temporal modeling in statistics, I present several
brief examples of hybrid statistical/AI models for predicting the growth
and spread of wildfire.

*More about Dr. Wikle:*

Christopher K. Wikle is Curators' Distinguished Professor of Statistics at
U. Missouri (MU), with additional appointments in Soil, Environmental and
Atmospheric Sciences and the Truman School of Public Affairs.  He obtained
his Ph.D. from Iowa State University in 1996 and has been on the faculty at
MU for 27 years. His research specialty is spatio-temporal statistics, with
applications to geophysical processes, complex biological processes, and
the environment.  He focuses on developing computationally efficient deep
hierarchical Bayesian dynamic spatio-temporal models motivated by
scientific principles, with more recent work at the interface of deep
neural modeling and statistics. He is Fellow of the ASA, IMS, ISI, and AAAS
and has published 2 award winning books in spatio-temporal statistics. Dr.
Wikle is Associate Editor for several journals and is one of six inaugural
members of the Statistics Board of Reviewing Editors for the AAAS flagship
journal, Science.

*Webpage:* https://wiklec.mufaculty.umsystem.edu/

Thank you for your interest, and we look forward to your participation!

Warm regards,

The AAAS Section U of Statistics Team

Why Join: https://www.aaas.org/membership/why-join

Become a Member: http://tiny.cc/JoinAAAS

------------------------------
Giri Gopalan
Statistical Sciences Group (CCS-6)
Los Alamos National Laboratory
------------------------------
  *Reply to Group Online
<https://community.amstat.org/communities/all-discussions/postreply?MessageKey=f2fe7782-4f6b-489b-b632-eb296d3e25eb&ListKey=0f3a64aa-5c7c-4edc-b878-fabde72239a2>*
  *Reply to Sender
<https://community.amstat.org/communities/all-discussions/postreply?MessageKey=f2fe7782-4f6b-489b-b632-eb296d3e25eb&ListKey=0f3a64aa-5c7c-4edc-b878-fabde72239a2&SenderKey=18e9454c-b7f2-4c28-8f8a-fb2a17b5ed81>*
  *View Thread
<https://community.amstat.org/discussion/aaas-section-u-statistics-webinar-with-christopher-k-wikle-2#bmf2fe7782-4f6b-489b-b632-eb296d3e25eb>*
  *Recommend
<https://community.amstat.org:443/discussion/aaas-section-u-statistics-webinar-with-christopher-k-wikle-2?MessageKey=f2fe7782-4f6b-489b-b632-eb296d3e25eb&cmd=rate&cmdarg=add#bmf2fe7782-4f6b-489b-b632-eb296d3e25eb>*
  *Forward
<https://community.amstat.org/communities/all-discussions/forwardmessages?MessageKey=f2fe7782-4f6b-489b-b632-eb296d3e25eb&ListKey=0f3a64aa-5c7c-4edc-b878-fabde72239a2>*
  *Flag as Inappropriate
<https://community.amstat.org/discussion/aaas-section-u-statistics-webinar-with-christopher-k-wikle-2?MarkAppropriate=f2fe7782-4f6b-489b-b632-eb296d3e25eb#bmf2fe7782-4f6b-489b-b632-eb296d3e25eb>*
  *Post New Message Online
<http://community.amstat.org/participate/postmessage?GroupId=1675&ListKey=0f3a64aa-5c7c-4edc-b878-fabde72239a2>*

You are subscribed to "Bayesian Statistical Science Section" as
hedibert em gmail.com. To change your subscriptions, go to My Subscriptions
<http://community.amstat.org/preferences?section=Subscriptions>. To
unsubscribe from this community discussion, go to Unsubscribe
<https://community.amstat.org/HigherLogic/eGroups/Unsubscribe.aspx?UserKey=b8e8f54d-f3bc-4c4d-994c-88e68c020ba6&sKey=833dbeaa96b84fefade7&GroupKey=0f3a64aa-5c7c-4edc-b878-fabde72239a2>
.

-- 
Hedibert Freitas Lopes, PhD
Professor of Statistics and Econometrics
INSPER - Institute of Education and Research
Rua Quatá, 300 - São Paulo, SP 04546-042 Brazil
Phone: +55 11 4504-2343
www.hedibert.org
-------------- Próxima Parte ----------
Um anexo em HTML foi limpo...
URL: <http://lists.ime.usp.br/pipermail/abe/attachments/20250414/d41a500a/attachment-0001.htm>