Meetings/Workshops on Probability and Statistics, Game Theory in Mexico

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1
Workshop — Statistical Challenges in the Identification, Validation, and Use of Surrogate Markers
23 Aug 2020 - 28 Aug 2020 • Oaxaca, Mexico
Organizer:
BIRS-affiliated mathematics research centre, Casa Matemática Oaxaca (CMO)
Abstract:
In studies examining the effectiveness of an intervention, the availability of a surrogate marker that could be used to estimate the intervention effect and could be observed earlier than the primary outcome would allow researchers to make conclusions regarding effectiveness with less required follow-up time. Statistical methodological research on identifying such surrogate markers, assessing the value of such markers, determining when these markers should be collected, and developing tools to use these markers for future studies has led to numerous available methods and has highlighted a number of limitations. There is little agreement on the appropriate approach to identify, validate, and use surrogate markers. This workshop will bring together statisticians, biostatisticians, and epidemiologists to build on recent methodological advances in the evaluation of surrogate markers to identify robust methods that could appropriately be used in practice while also quantifying potential risks if certain necessary assumptions are violated
Event listing ID:
1330249
Related subject(s):
2
Computations and Data in Algebraic Statistics
19 Sep 2021 - 24 Sep 2021 • Oaxaca, Mexico
Organizer:
Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Canada
Abstract:
This workshop brings together both theoreticians and practitioners from broadly different fields to advance algebraic statistical methodology to data science. While linear algebra underlies classical statistics, in algebraic statistics, the aim is to explore the applicability of nonlinear algebra---which extends algebraic theory beyond linear algebra---to statistical theory. In particular, our goal is to advance the computational feasibility of algebraic statistics. Our focus is specifically on direct applicability of algebraic statistical theory to real datasets. Additionally, this workshop explores other statistical settings that are also algebraic in nature and that find practical applications in various different fields, where nonlinear algebra may also be applied.
Event listing ID:
1364818
3
Foundations of Objective Bayesian Methodology
28 Nov 2021 - 03 Dec 2021 • Oaxaca, Mexico
Organizer:
Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Canada
Abstract:
The aim of this workshop is to bring together researchers working on objective Bayesian methodology, nonparametric Bayesian methods and machine learning. Objective Bayesian methods are evolving from a historically narrower focus on issues related to prior specification to research themes that are more broadly related to default methods in Bayesian statistical analysis. This naturally leads to an increasing overlap with Bayesian nonparametric modeling and machine learning. The workshop seeks to exploit this increasing intersection by bringing together participants from all three research communities.
Event listing ID:
1364810


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Last updated: 08 July 2020