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

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Deming Conference — 73rd Annual Deming Conference on Applied Statistics
03 Dec 2017 - 08 Dec 2017 • Atlantic City, NJ, United States
The full program as well as a downloadable printed version will be available on our website by June 1st and online registration will open in August. The purpose of the 3-day Deming Conference on Applied Statistics is to provide a learning experience on recent developments in statistical methodologies, stressing biopharmaceutical applications. The conference is followed by two parallel 2-day short courses. The conference is composed of twelve three-hour tutorials on current applied statistical topics. The books, on which these sessions are based, are available for sale at approximately a 40% discount. These books are not available by mail, but if an acquaintance attends, you could ask him to purchase them. Attendees will receive bound proceedings of the presentations. There will also be poster sessions. The conference will again be held in the state-of-the-art Havana Tower of the Tropicana Casino Resort with free high speed Internet. Walter Young has chaired this conference for 48 consecutive years.
Walter R Young;     Phone: [4158198884];     Email:
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ICERM Semester Workshop: Optimal and Random Point Configurations
26 Feb 2018 - 02 Mar 2018 • Providence, RI, United States
This workshop will focus on probabilistic and physical aspects of systems of interacting points: their statistical mechanics, phase transitions, and ground states. Such systems include random point processes arising in probability and statistical physics in the study of random matrices, determinantal processes, zeros of random polynomials, disordered ground states, and hyperuniform systems as well as configurations satisfying a geometric or analytic optimality constraint. Special cases also involve disordered and ordered sphere packings and covering problems. While systems of interacting particles, their free energy and crystallization properties have been studied for a long time in the statistical physics community, there has also been much activity recently, both in the random matrix community and probability communities and in the complex analysis community to understand the microscopic laws of eigenvalues of random matrices and points in beta-ensembles, as well as understanding and quantifying the rigidity of related random point processes and obtaining explicit formulas for correlation functions. Large point sets with quantifiable distribution properties have long played an important role also in approximation, numerical integration, and coding theory. All these communities are seldom mixing, while these topics also link with globally and locally optimal point configurations that arise in approximation theory, including their crystallization properties. A central objective would thus be to connect the probability, statistical physics, mathematical physics and approximation theory communities.
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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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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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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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View all listed conferences in the United States (USA). offers, as part of its business activities, a directory of upcoming scientific and technical meetings. The calendar is published for the convenience of conference participants and we strive to support conference organisers who need to publish their upcoming events. Although great care is being taken to ensure the correctness of all entries, we cannot accept any liability that may arise from the presence, absence or incorrectness of any particular information on this website. Always check with the meeting organiser before making arrangements to participate in an event!

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Last updated: 11 November 2017