Meetings/Workshops on Probability and Statistics, Game Theory in the United States (USA)

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UQ18 — SIAM Conference on Uncertainty Quantification
16 Apr 2018 - 19 Apr 2018 • Garden Grove, California, United States
Uncertainty quantification is critical to achieving validated predictive computations in a wide range of scientific and engineering applications. The field relies on a broad range of mathematics and statistics foundations, with associated algorithmic and computational development. This conference will bring together mathematicians, statisticians, scientists, and engineers with an interest in development and implementation of uncertainty quantification methods. While applications of UQ in many fields will be represented at the conference, the focal application for UQ16 is Life science. Other major conference themes include the mathematical foundation of UQ and the connections between UQ and big data. The goal of the meeting is to provide a forum for the sharing of ideas, and to enhance communication among this diverse group of technical experts, thereby contributing to future advances in the field.
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Conference on Predictive Inference and Its Applications
07 May 2018 - 08 May 2018 • Ames, Iowa, United States
The Department of Statistics at Iowa State University will host the Conference on Predictive Inference and Its Applications on May 7 and 8, 2018, in Ames, Iowa. The goals of the conference include raising awareness about the importance of predictive inference and its applications, showcasing research of current and emerging leaders in the field, and encouraging interactions and collaborations among a diverse collection of scientists with complementary skills. Special invited lectures will be presented by Ronald Christensen (Zyskind Memorial Lecture), David Dunson (Snedecor Memorial Lecture), Edward George, and Martin Wainwright (Baker/Kingland Distinguished Lecture). The conference will also include a session in honor of Charles Roy Henderson, who was an Iowa State graduate, member of the United States National Academy of Sciences, and a pioneering developer of prediction methodology used in animal breeding and a wide range of other application areas. The conference is made possible by a gift from David Harville, Emeritus Professor of Statistics at Iowa State University, and is co-sponsored by the American Statistical Association Section on Statistical Learning and Data Science.
Dan Nettleton;     Phone: [515-294-7754];     Email:
statistics, prediction, inference, linear models, machine learning, Bayesian methods, sports analytics, animal breeding, genetics
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Stochastic Control, Computational Methods, and Applications
07 May 2018 - 11 May 2018 • IMA/University of Minnesota, Minneapolis, United States
In recent years, significant progress has been made in stochastic control and related fields. As work continues on forward-backward stochastic differential equations, new issues on time inconsistency raising in stochastic control have been found. Both the mathematical community and the control engineering community have shown interest in treating mean-field games and mean-field type controls. Computational aspects of stochastic and deterministic controls remain a challenging issue. The idea of the max-plus approach has been much exploited. New computational methods for solving the associated Hamilton-Jacobi-Bellman (HJB) partial differential equations (including solutions for deterministic controls) have also been investigated.
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Random Matrices and Free Probability Theory
14 May 2018 - 18 May 2018 • Institute for Pure and Applied Mathematics (IPAM),, United States
The workshop will explore large-N asymptotics of random matrices, in connection with the operator-algebra models of their limiting behavior that appear in free probability theory. The behavior or random matrices has found increasing applications in mathematics, with connections to combinatorics, analysis and probability theory, as well as fields outside mathematics such as physics and computer science. Topics of the workshop include asymptotics behavior of various observables of random single-matrix and multi-matrix models, including behavior of eigenvalues and eigenvectors, as well as connections to properties of operators describing the large-N limit. Of particular emphasis will be links to applications, ranging from graph theory to statistical analysis of data.
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Bridging Statistics and Sheaves
21 May 2018 - 25 May 2018 • IMA/University of Minnesota, Minneapolis, United States
Over the past fifteen years, applied topology ​has brought tools​ from traditionally pure areas of mathematics, such as algebraic topology and category theory​, to​ ​applied mathematics​ and statistics, all while guided by applications to data science and engineering.​ Topological Data Analysis (TDA), which provides principled, data-driven model discovery and inference procedures, and Topological Signal Processing (TSP), which provides robust reparametrization-invariant properties of observed spatial and temporal data, are among the most notable recent developments in this line of scientific pursuit.
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Summer School in Statistics for Astronomers XIV and Summer School in Astroinformatics
29 May 2018 • State College PA, United States
38th International Symposium on Forecasting
17 Jun 2018 - 20 Jun 2018 • Boulder, United States
The International Symposium on Forecasting (ISF) is the premier forecasting conference, attracting the world’s leading forecasting researchers, practitioners, and students. Through a combination of keynote speaker presentations, academic sessions, workshops, and social programs, the ISF provides many excellent opportunities for networking, learning, and fun.
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IPAM Graduate Summer School: Mean Field Games and Applications
18 Jun 2018 - 29 Jun 2018 • Institute for Pure and Applied Mathematics (IPAM),, United States
The summer school, Mean Field Games and Applications, will be a series of lectures that aims to introduce graduate students and postdocs to this recently accessible and fast growing area. The main goals of the summer school are: (i) To introduce students and postdocs to Mean Field Games and certain cognate areas through lectures by leading researchers; (ii) To make available to the wider mathematical community a series of broad-interest talks on mean field games; (iii) To provide a collaborative environment that is welcoming to underrepresented minorities and women and which brings scientists together with trainees from varied backgrounds.
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PMAPS — 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems
24 Jun 2018 - 28 Jun 2018 • Boise, ID, United States
The International Conference on Probabilistic Methods Applied to Power Systems cover all aspects of probabilistic and statistical modeling of power systems.
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EFSDA — CBMS-NSF Conference: Elastic Functional and Shape Data Analysis
16 Jul 2018 - 20 Jul 2018 • The Ohio State University, Columbus, United States
This conference will feature an intensive lecture series on elastic methods for statistical analysis of functional and shape data, using tools from Riemannian geometry, Hilbert space methods, and computational science. The main focus of this conference is on geometric approaches, especially on using elastic Riemannian metrics with desired invariance properties, and square-root representations that simplify computations. These approaches allow joint registration and statistical analysis of functional data, and are termed elastic for that reason. The statistical goals include comparisons, summarization, clustering, modeling, and testing of functional and shape data objects. The Principal Lecturer will be Professor Anuj Srivastava, a Professor of Statistics and a Distinguished Research Professor at Florida State University (FSU) in Tallahassee, FL.
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2nd Northwestern Summer School in Probability
16 Jul 2018 - 26 Jul 2018 • Northwestern University, Evanston, United States
The 2nd Northwestern Summer School in Probability is a two-week summer school in Probability to be held at Northwestern University, as part of the activities of the NSF RTG grant "Analysis on Manifolds" and NSF Career grant DMS 1653552. It will feature mini-courses of increasing level of specialization, aimed at undergraduate and graduate students and recent PhDs, in various topics in probability. It is part of the 2018 Summer Northwestern Analysis Program (SNAP).
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AIM Workshop: Stein's method and applications in high-dimensional statistics
06 Aug 2018 - 10 Aug 2018 • American Institute of Mathematics, San Jose, United States
This workshop, sponsored by AIM and the NSF, is devoted to the applications of Stein's method to address modern, practical questions in high-dimensional mathematical statistics. The overarching theme of the workshop will be the development of new methods in high dimensional data analysis by applying recent advances in probabilistic methods.
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RANDOM 2018 - The 22nd International Conference on Randomization and Computation
20 Aug 2018 - 22 Aug 2018 • Princeton, New Jersey, United States
Masterclass in Bayesian Statistics (part of the Jean-Morlet Chair)
22 Oct 2018 - 26 Oct 2018 • CIRM Luminy, Marseille, United States
Most scientific fields now face the issue of "big data", ie the influx of massive datasets, potentially with multiple and complex structure and, to deal with this data deluge, the Bayesian approach sounds particularly promising. This masterclass school aims at introducing novel and state-of-the art algorithmic and inferential tools, from advanced algorithms (Approximate Bayesian computation (ABC), synthetic likelihood, indirect inference, noisy and consensus Monte Carlo, Langevin diffusion subsampling, Hamiltonian Monte Carlo, sequential and asynchronous methods) to inference techniques for large data sets (synthetic likelihood, indirect and non-parametric inference, pseudolikelihood, variational approaches, automatic selection of summaries).
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Last updated: 26 February 2018