Conferences and Meetings on Probability and Statistics, Game Theory

Since 1978, the ANS biennial international conference on Probabilistic Safety Assessment and Analysis has been a forum for communication of major probabilistic risk and safety topics worldwide, including issues, methods, applications, insights, policy, research, and risk-informed regulation experience.

The Fields Institute for Research in Mathematical Sciences

This conference will be held to celebrate the 80th birthday of French probabilist Gérard Letac on January 6, 2020. Continuously active and publishing since his first paper appeared in 1964, Letac is now Professor Emeritus at the Institut de Mathématiques de Toulouse, Laboratoire de Statistique et Probabilités of the Université Paul Sabatier. He has authored five books and directed twenty-six PhD students.

Letac’s work in the areas of probability theory, mathematical statistics, measure theory and analysis is well recognized by both the mathematical and statistical communities. His papers have had substantial impact on many probabilists and statisticians. In his talks, Letac often reveals surprising connections and elegant structures underlying problems that are either complex or deceptively innocent looking. Due to his breadth of expertise, he also often uncovers a deep algebraic structure behind probability problems. Former students and colleagues will celebrate Gérard Letac's work during this conference and we hope that the breadth as well as depth of his work will inspire the upcoming generation of young researchers.

The conference includes daily tutorial lectures accessible to graduate students.

CIRM – Centre International de Rencontres Mathématiques

Neural Networks and Artificial Intelligence, Machine Learning,    Algorithms and Data Structures

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Lake Como School of Advanced Studies

Nowadays, with the increasing availability of Big data, robust statistical methods are crucially needed. The aim of this course is three-fold: present novel models to describe real-world phenomena, and their properties; study their behavior under different kinds of contamination; discuss their implementation through computational methods. The lectures are addressed to Master, PhD students and postdocs.

Courses and Events for Physics Students,    Courses and Events for Math Students and Early Career Researchers

Belief Functions and Applications Society

The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modelling epistemic uncertainty. These early contributions have been the starting points of many important developments, including the Transferable Belief Model and the Theory of Hints. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and has well understood connections to other frameworks such as probability, possibility and imprecise probability theories.

Japan Aerospace Exploration Agency (JAXA)

The 11th IAASS Conference “Managing Risk in Space”, organized in cooperation with the Japan Aerospace Exploration Agency (JAXA) is an invitation to reflect and exchange information on a number of space safety and sustainability topics of national and international interest. The conference is also a forum to nurture mutual understanding, trust, and the widest possible international cooperation in the responsible use of space.

CIRM – Centre International de Rencontres Mathématiques

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

Nonlinear inverse problems are ubiquitous in medical sciences, engineering, physics and other natural sciences. This workshop will advance a statistical paradigm that allows underpinning statistical decision making in such problems in a scientifically rigorous way. This will be achieved by providing `frequentist' large sample guarantees for inferences arising from commonly used (Bayesian or non-Bayesian) algorithms in such problems. Thereby, a large cluster of applied problems, where algorithms are used for day-to-day decision making with statistical data, will be put on a solid and robust foundation, facilitating its confident use in modern society.

Courses and Events for Math Students and Early Career Researchers,    Algebra

University of Toulouse

The ADT 2021 conference focus is on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of Computer Science, Economics and Operations Research in order to improve the theory and practice of modern decision support. The conference topics include research in Algorithms, Argumentation Theory, Artificial Intelligence, Computational Social Choice, Database Systems, Decision Analysis, Discrete Mathematics, Game Theory, Machine Learning, Matching, Multi-agent Systems, Multiple Criteria Decision Aiding, Networks, Optimization, Risk Management, and Utility Theory.

Department of Statistical Methods, University of Lodz

The MSA conference is organized by Department of Statistical Methods, University of Lodz in partnership with Institute of Statistics and Demography, University of Lodz, Polish Academy of Science, Polish Statistical Association, Branch in Lodz, StatSoft Polska Sp. z o.o. The conference has a long tradition in Łódź, it is organized annually, with this year's edition being the 39th. The MSA is a place of presenting new studies on theory and applications of statistics as well as exchanging knowledge of new computational techniques. It is addressed to academic community as well as representatives of the private sector, statistical offices, polling organizations and other public institutions (National Bank of Poland, Central Statistical Office of Poland, COMARCH, Pfizer, StatSoft, GFK Polonia). The objective of the conference is to bring together academics and scholars from around the world to review in detail, debate, and evaluate the most significant developments in the field of statistics. We seek to create an environment that could lead to the establishment of collaborations among universities and public institutions like the Eurostat, National Bank of Poland, Central Statistical Office of Poland as well as cooparation between academic society and private companies.

Email: msa@uni.lodz.pl

multivariate statistics, data analysis, cluster analysis, Bayesian inference, data mining, time series, financial markets, applications in economics, mathematical methods in economics, econometric models, applications in medicine and health services

Applied Mathematics (in general),    Economics, Business and Marketing

Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Canada

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.

Courses and Events for Math Students and Early Career Researchers,    Software Agents and Intelligent Agents in Artificial Intelligence

CIRM – Centre International de Rencontres Mathématiques

The 28th International Workshop on Matrices and Statistics, IWMS 2021, will be held during the period December 13-15, 2021 at the Center for Advanced Research for Applied Mathematics and Statistics, Manipal Academy of Higher Education, (MAHE) Manipal, Karnataka, India. The theme of the workshop shall focus on the theory and applications of different branches of science such as Biology, Computer and Information Science, Economics, Electronics, Genetics, Office Statistics, Social Statistics and Accountancy.

Matrix Analysis, Projectors in Linear Models & Multivariate Analysis, Growth Curve Models, Linear Regression Models , Linear Statistical Inference, Modelling Covariance Structures , Multivariate and Mixed Linear Models , Statistics in Big Data Analysis.

CIRM – Centre International de Rencontres Mathématiques

CIRM – Centre International de Rencontres Mathématiques

CONFERENCE

The program covers a wide range of topics in statistics and probability, presenting recent developments and the state of the art in a variety of modern research topics and in applications.

CIRM – Centre International de Rencontres Mathématiques

CONFERENCE

The SAMO conference is devoted to advances in research on sensitivity analysis methods and their interdisciplinary applications. The SAMO conferences are held every three years. The aim of the SAMO conferences is to bring together users of sensitivity analysis in all disciplines of science. Sensitivity analysis methods are powerful tools in physics, operations research, chemistry, biology, engineering, environmental science, nuclear and industrial safety, economics and finance.

Modeling and Simulation,    Scientific Computing

CIRM – Centre International de Rencontres Mathématiques

CONFERENCE

Lehigh University

Apart from informal presentations by conference participants, there will be plenary talks by Alexei Borodin, Jennifer Chayes, Tadahisa Funaki, Sarah Penington, and Makiko Sasada. The main conference will be held on March 17-19, 2022; on March 18, there will be a special set of tutorial lectures by Greg Lawler and others.

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Courses and Events for Math Students and Early Career Researchers,    Applied Mathematics (in general)

Universität Hamburg in close cooperation with Universitätsklinikum Hamburg-Eppendorf and Helmut-Schmidt-Universität

Welcome to the DAGStat Conference 2022! The sixth conference of the Deutsche Arbeitsgemeinschaft Statistik will take place in Hamburg, from March 28 to April 1, 2022. The conference is hosted by the Universität Hamburg in close cooperation with Universitätsklinikum Hamburg-Eppendorf and Helmut-Schmidt-Universität. The conference is also the 68th Biometric Colloquium of the German Region of the International Biometric Society (IBS-DR) and the 45th annual conference of the Gesellschaft für Klassifikation (GfKl) – Data Science Society.

University of Bristol, School of Mathematics

This is the third event of a series of conferences featuring talks by leading researchers in the three areas who are also capable of conveying their message to the audience coming from various regions of these fields. Beside the leading senior figures we also invite as speakers a smaller number of younger colleagues who have already shown their lion's claws.

Email: pad21-conference@bristol.ac.uk

Probability, Analysis, Dynamics

This conference is sponsored by the SIAM Activity Group on Uncertainty Quantification.

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Courses and Events for Math Students and Early Career Researchers,    Graph Theory and Combinatorics

This is the meeting of the SIAM Activity Group on Data Mining and Analytics. This conference is held in cooperation with the American Statistical Association.

Information & Knowledge Management, Big Data Computing,    Database Technology and Design, Search Engines and Data Mining

The goal of this workshop is to examine some recent developments of the interaction between stochastics and game theory. The focus will be on game theoretic models that heavily use stochastic tools and on stochastic methods that find relevant applications in game theory.

Prophet inequalities and secretary problems, Bandit models, Congestion games under uncertainty, Strategic queues, Stochastic games, Learning in games, Information transmission on networks, Social learning, Games with a random number of players, Search games, Stochastic matching, Blockchain

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Institute of Mathematics & its Applications (IMA)

This event builds upon a very successful series of previous conferences over the past 25 years. From the first event held in Bath in 1985 to the most recent one held in Birmingham in 2016 being as successful as its predecessors, the organising committee is delighted to announce the 12th IMA International Conference on Mathematics in Signal Processing to be held 18-20 May 2022 at Conference Aston, Birmingham. Signal processing and machine learning constitutes an important area for the application of mathematical concepts and techniques, in an era where learning algorithms must be transparent, robust, explainable and understandable, and ethical. It is a thriving area, as demonstrated by the success of the UK hosting the recent International Conference on Acoustics, Speech, and Signal Processing (ICASSP) in Brighton in 2019.

Statistical Signal Processing • Compressive Sampling • Graph Signal Processing • Inverse Problems • Adaptive Signal Processing • Numerical Linear Algebra • Machine Learning, including Deep Learning • Audio/Image/Video Processing • Array Signal Processing • Bayesian Signal Processing • Signal Separation Techniques • Applications of Finite Mathematics • Nonlinear Optimisation/Modelling • Blind Deconvolution / Equalisation • Approximation Techniques • Time-frequency / Time-scale Analysis • Space-Time Adaptive Signal Processing • Vector Sensors and Geometric Processing • High Resolution Spectral Analysis • Graph Signal Processing • Signal Processing aspect of digital communications • Simultaneous localisation and mapping • Inference for diffusion processes

Applied Mathematics (in general),    Acoustics, Noise and Vibration

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Courses and Events for Math Students and Early Career Researchers,    Operational research

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Courses and Events for Math Students and Early Career Researchers,    Calculus, Differential Equations and Integration

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Institute of Mathematical Statistics

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

As of September 28, 2020, 33 million Covid-19 cases have been reported worldwide. With one million deaths attributed to the deadly infection, the pandemic has not only killed a huge number, but also caused worldwide economic disruption. In the process, it has exposed our inadequate preparation and our inability to act promptly and decisively in response to a rapidly spreading novel virus. With an objective to prepare for the next pandemic, the focus of the proposed workshop will be on the scientific questions that emerged during the current Covid-19 crisis. The overall theme of the workshop can be broadly categorized into three intertwined topics: 1) a mechanistic approach to understanding the complex dynamics of novel viruses such as the SARS-CoV-2; 2) parameter inference and proper uncertainty quantification; and 3) design of optimal intervention and policy. The workshop will bring together different communities and foster new interdisciplinary collaborations. Most importantly, the workshop aims to train a cohort of young and diverse group of researchers into responsible scientists who will be better prepared for the next pandemic.

The conference will bring forth recent advances and trends in several areas of nonparametric statistics, in order to facilitate the exchange of research ideas, promote collaboration among researchers from all over the world, and contribute to the further development of the field.

Cornell University

Stochastic networks is a multifaceted area of research concerned with the modeling, stability, control, performance, approximation, and design of stochastic networks. It gives rise to challenging and subtle mathematical problems, whose solution often requires a combination of ideas and techniques from several branches of mathematics, including probability theory, stochastic processes, analysis, optimization, algorithms, combinatorics, and graph theory. Research in this area is strongly motivated by applications in diverse domains, ranging from the traditional areas of telecommunications and manufacturing to service operations, biological and social networks, revenue management, and health care. The series of conferences on Stochastic Networks, initiated in 1987 and now held biennially, is a major forum for researchers to learn of the latest developments and new research directions in stochastic networks.

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Institute of Mathematical Statistics

CIRM – Centre International de Rencontres Mathématiques

CONFERENCE

The IPMU Conference is organized every two years since 1986 with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation. It also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas.

Neural Networks and Artificial Intelligence, Machine Learning,    Operational research

The Moscow Institute of Physics and Technology has the privilege of hosting EMS2022 and most prominent scientific institutions, such as Russian Academy of Science, Lomonosov Moscow State University, Higher School of Economics, The Skolkovo Institute of Science and Technology (Skoltech), Steklov Mathematical Institute of RAS and others, support the organizing processes. Held every two years, the EMS Congress is the most significant event in Europe covering all branches of statistics and probability. The Program Committee formed by the Bernoulli Society guarantees the excellence and actuality of scientific reports.

American Statistical Association

Institute of Mathematical Statistics

Casa Matemática Oaxaca (CMO)

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Courses and Events for Math Students and Early Career Researchers,    Graph Theory and Combinatorics

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

CIRM – Centre International de Rencontres Mathématiques

CIRM – Centre International de Rencontres Mathématiques

Modeling and Simulation,    Operational research

CIRM – Centre International de Rencontres Mathématiques

CIRM – Centre International de Rencontres Mathématiques

Institute of Mathematical Statistics

The sixth meeting of the Institute of Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM), will take place in Melbourne, Australia. It will provide an excellent worldwide forum for scientific communications and collaborations for researchers in Asia and the Pacific Rim, and promote communications and collaborations between the researchers in this area and those from other parts of the world. The sixth meeting will continue and extend the accomplishments of the previous meetings, and will add a significant value to our continuous efforts to carry out our common mission in the statistical profession.

American Statistical Association

American Statistical Association

The Bernoulli–IMS World Congress in Probability and Statistics is held every four years.

American Statistical Association

American Statistical Association (ASA)