Conferences and Meetings on Probability and Statistics, Game Theory

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

What could be a bigger source of "big data" than the entire Universe? Researchers in statistics and computer science are developing new methods to analyse the "big data" that companies and governments want to understand. To test out these methods they need big datasets that everyone can share - and new astronomical telescopes just happen to be gearing up to generate observations of billions of stars and galaxies that fit the bill. Insights from statistics will help astrophysicists to get the most out of these observations. The Astrostatistics 2021 workshop will bring together statisticians and astrophysicists to learn the technical languages of the two fields and identify how to work together to combine the excitement of space with big data.

Courses and Events for Math Students and Early Career Researchers,    Astronomy, Astrophysics and Cosmology

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

The workshop will bring together some of the world's top experts and promising young researchers working at the interface of Stochastics and Geometry, broadly understood. Through expository talks and research presentations, the workshop will give a vibrant overview of the most recent developments in the interaction between analysis, geometry and stochastic analysis. The focus of the workshop will be different approaches to random processes in geometric settings, with emphasis on problems on heat kernel analysis on finite- and infinite-dimensional manifolds, sometimes equipped with degenerate geometries, as well as random matrices and non-commutative probability and geometric rough paths. Another objective of the workshop is to identify fundamental open problems in this area that are motivated by mathematical physics and other potential applications. We plan to maintain geographic diversity and also to invite some of the most promising junior mathematicians.

Courses and Events for Math Students and Early Career Researchers,    Geometry and Topology

Lehigh University, Bethlehem, Pennsylvania

SSP will be held in-person, with suitable COVID-19 precautions, to the extent possible given the evolving public health situation. Remote options will be implemented as appropriate. The tutorial lectures will be held on Wednesday, March 17, and the main conference will take place from Thursday, March 18 through Saturday, March 20.

Society for Industrial and Applied Mathematics (SIAM)

Data mining is the computational process for discovering valuable knowledge from data – the core of modern Data Science. It has enormous applications in numerous fields, including science, engineering, healthcare, business, and medicine. Typical datasets in these fields are large, complex, and often noisy. Extracting knowledge from these datasets requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms. These techniques in turn require implementations on high performance computational infrastructure that are carefully tuned for performance. Powerful visualization technologies along with effective user interfaces are also essential to make data mining tools appealing to researchers, analysts, data scientists and application developers from different disciplines, as well as usable by stakeholders.

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

This meeting is officially sponsored by the BayesComp section of ISBA which is supporting travel grants for young researchers.

ABC in Svalbard is the next edition of a successful workshop series around ABC methods. It aims at attracting researchers at the forefront of research on approximate Bayesian computing methods and promoting original research in that field among various disciplines. As the meeting is limited in size and located in a remote area of the World, mirror meetings will take place in Brisbane, Coventry and Paris, towards gathering participants unable or unwilling to travel to Longyearbyen.

The 24th International Conference on Artificial Intelligence and Statistics will be held virtually from Tuesday, 13 April 2021 to Thursday, 15 April 2021. Since its inception in 1985, AISTATS has been an interdisciplinary gathering of researchers at the intersection of artificial intelligence, machine learning, statistics, and related areas.

This conference is unique in its interdisciplinary nature and also exposes students and developing scholars to new statistical research directly relevant to agriculture. We emphasize the application of statistics in solving real-life problems while highlighting agriculture and recognizing the joint effort of the statistician and the agricultural researcher. The relaxed atmosphere of this conference allows for participants to submit abstracts made jointly by the statistician and the researcher. Presentation of data sets and analyses which motivated the work shares equal importance with development of the statistical theory.

Agronomy, Food Production and Food Chemistry,    Ecosystems, Environment and Sustainable Development

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

“Frontier Probability Days 2021” (FPD’21) is a regional workshop, taking place at the University of Nevada, Las Vegas, Las Vegas, Nevada on May 16-18, 2021. Its purpose is to bring together mathematicians, both regionally and globally, who have an interest in probability and its applications. FPD aims to complement other regional conferences in Probability that are held annually elsewhere in the US. Graduate students and postdoctoral fellows are especially encouraged to apply.

MRSI – Mathematical Sciences Research Institute, Berkeley | Centre de Recherches Mathematiques, Montreal

The courses in this summer school focus on mathematical models of group dynamics, how to describe their dynamics and their scaling limits, and the connection to discrete and continuous optimization problems.

Barcelona GSE Data Science Center

The meeting aims to bring together leading experts from diverse areas of mathematical statistics and machine learning who are interested in the mathematical foundations of our fields. The common theme of the meeting is modelling and statistical analysis of data from large complex systems, which leads to high-dimensional and structured problems.

The global aim of the conference is to bring together national and international researchers in probability and related fields. It will provide an opportunity for exchanging ideas and discussing recent results and new trends in a wide range of research areas: probability, mathematical statistics, theory of stochastic processes and fields, fractional and multifractional processes, fractal analysis, stochastic analysis, stochastic differential equations, stochastic models of evolution systems, stochastic reliability theory, information security, queueing theory, risk processes, actuarial and financial mathematics.

Modeling and Simulation,    Mathematical Economics and Finance

Simons Institute

This conference is focused on the changing role and nature of the discipline of statistics in the time of a data deluge in many applications, and increasing success of artificial intelligence at performing many data analysis tasks. The conference aims to bring together experts in statistical methodology and theory for complex and big data with researchers focused on a range of applications, from genomics to social networks, and to provide opportunities for new researchers to learn about both emerging methods and applications.

Astronomy at the beginning of the 21st century, and particularly research arising from wide-field survey observatories at various wavebands, finds itself with serious challenges in statistical treatments of data to achieve its astrophysical goals. A vast range of statistical problems arise in the scientific interpretation of astronomical studies involving sampling, multivariate and survival analysis, image and spatial analysis, signal processing and time series analysis, nonlinear regression, and more. It is this diversity of statistical issues confronting astronomy today that led to the creation of the Center for Astrostatistics at Penn State in 2003 to facilitate development and promulgation of statistical expertise and toolkits for astronomy and related observational sciences.

In modern day society that generates huge amounts of data, its analysis, interpretation, and optimal decision-making are essential not only in the world of education, scientific research, public statistics and business, but in all areas of life, with the benefits that this entails for society in general. Currently, the Covid19 pandemic has revealed the vital role of the mathematical models of Statistics and Operations Research to help predict its evolution and optimize available resources. More than ever, this event offers a unique opportunity as a forum in which academicians, researchers and experts dealing with Statistics and OR join to exchange ideas and expertise.

American Statistical Association

The Sixth International Conference on Establishment Statistics (ICES VI) will be held in New Orleans, Louisiana, USA, June 14–17, 2021. Continuing in the traditions of ICES-I to ICES-V, ICES VI will explore new areas of establishment statistics, as well as reflect state-of-the-art methodology at the time of the conference.

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.

The purpose of the series of IWFOS initiated by the working group STAPH of Toulouse at year 2008, is to highlight the major trends in different areas of functional statistics through the exchange of ideas and the promotion of collaboration between researchers from different countries. It aims at contributing to future developments of such areas. The workshop will be a platform for communication, exchange of ideas and interaction for researchers in statistics for infinite-dimensional and high-dimensional problems.

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

Particle Physicists study matter at is smallest scale and try to reveal how the physical world is constructed from elementary particles and the forces acting between them. The well-known proton, neutron and similar particles are composed of quarks. Atoms also contain electrons; together with the two heavier versions of the electron (the muon and tau), each with its associated neutrino, they make up the group of leptons. Another ingredient of the catalogue of particles is the Higgs boson, discovered at the CERN Lab's Large Hadron Collider (LHC) in 2012.

High Energy Physics, Particles and Fields,    Scientific Computing

University of Edinburgh

The conference brings together researchers in Extreme Value Theory, Methods and its Applications.

Institute of Mathematics, Faculty of Science, P. J. Šafárik University, Košice

The purpose of the meeting is to bring together researchers sharing an interest in a variety of aspects of statistics and its applications as well as matrix analysis and its applications to statistics, and offer them a possibility to discuss current developments in these subjects. The conference will mainly focus on a number of topics. The topics that have been selected so far include estimation, prediction and testing in linear models, robustness of relevant statistical methods, estimation of variance components appearing in linear models, generalizations to nonlinear models, design and analysis of experiments, including optimality and comparison of linear experiments, and applications of matrix methods in statistics.

Statistical Society of Australia, New Zealand Statistical Association , Australian Conference on Teaching Statistics

This conference brings together three leading statistical communities – the Statistical Society of Australia, the New Zealand Statistical Association – and the Australian Conference on Teaching Statistics. The aim of this Conference is to bring together a broad range of researchers and practitioners across a variety of statistical disciplines to facilitate the exchange of theory, methods and applications.

Didactics of Scientific Disciplines,    Meetings of Professional Bodies in Mathematics

The Society for Imprecise Probability: Theories and Applications

ISIPTA is the primary international forum about theories and applications of imprecise probability. The symposium is open to contributions on all aspects of imprecise probability, which is a generic term for the many mathematical and statistical models and methods that allow us to measure chance or uncertainty without the restriction of sharp probabilities. This includes (but is not limited to) sets of probability measures, partial preference orderings, game-theoretic probability, choice functions, interval probabilities, belief functions, and possibility theory.

Neural Networks and Artificial Intelligence, Machine Learning,    Applied Mathematics (in general)

University of Luxembourg

The aim of the conference ICON STARF is to bring together young researchers and renowned experts in mathematical statistics, signal processing, statistical learning, probability, approximation theory, and all other areas that contribute to the mathematical development of data science. We shall allow time for discussion and stimulate scientific collaboration and exchange among participants. A low registration fee will enable PhD students, post-docs and young researchers to participate in the conference. ICON STARF is part of the SanDAL programme of the ERA Chair which has been awarded to the University of Luxembourg by the European Horizon 2020 initiative.

Applied Mathematics (in general),    Scientific Computing

Lake Como School of Advanced Studies

Department of Mathematics & Statistics and the Department of Supply Chain & Business Technology Management of Concordia University in Montreal

In keeping with the long tradition of previous decennial conferences (starting in 1971), this convention is dedicated to all areas of statistical sciences. In addition to the traditional theoretical/applied areas, interdisciplinary research would be encouraged and promoted including major theme areas Applied Statistics, Big Data, Bioinformatics, Biostatistics, Computational Statistics, Data Mining, Data Science, Demography, Econometrics, Health Statistics, Model Selection and Validation, Social Statistics, Supply Chain, Survival Analysis, Stochastic Methods in Ecology, Finance and Engineering.

The 2021 conference will be held on a virtual platform.

The two-day 2021 pre-meeting dedicates the first day to the academic theme of Data Science. The second day is dedicated to a series of presentations and group discussions that pertain to career development.

University of California-Santa Cruz, California

The 3rd International Conference on Statistics: Theory and Applications (ICSTA’21) aims to become the leading annual conference in fields related to Statistics: Theory and Applications. The goal of ICSTA’21 is to gather scholars from all over the world to present advances in the relevant fields and to foster an environment conducive to exchanging ideas and information. This conference will also provide an ideal environment to develop new collaborations and meet experts on the fundamentals, applications, and products of the mentioned fields.

Applied statistics, Big data, Bioinformatics , Data mining, Medical statistics, Social statistics, Statistical softwares , Statistics and environment, Statistical signal processing, Statistical methodology, Time-series Analysis

American Statistical Association

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

The systematic study of random graphs commenced with the seminal work of Erd" os and Renyi in the 1960s. Beyond the classical connections and synergies between random graphs and computer science, over the last few years a new exciting connection between random graphs and statistical inference has been discovered. These connections have led to important new insights on computational problems and statistical inference problems and to new methods for the analysis of random graphs or random discrete structures in general. In addition, since the late 1990s an insightful approach called the cavity method by physicists has been applied to put forward predictions on structural properties of random graphs and their phase transitions. More recently, it has inspired new algorithms for statistical inference problems such as message passing algorithms and novel spectral algorithms. With this workshop we hope to stimulate research and foster new exciting interdisciplinary collaborations between researchers with different backgrounds and expertise in random graphs, computer science, probability, statistics, statistical inference and information theory.

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

CIRM – Centre International de Rencontres Mathématiques

As on previous occasions, the Workshop will be focused on advanced statistical methods for hydrological applications.

Extreme hydrological and meteorological analysis under global changes, Quantifying uncertainty in hydrological predictions, Hydrological design and risk assessment under changing environment, Applications of big data, data mining and information theory, Data assimilation for hydrological forecasts, New approaches in time series analysis, Spatio-temporal variability and scaling, Geostatistics in groundwater and surface hydrology

Hydrology,    Applied Mathematics (in general)

Statistical Society of Slovenia and Faculties ofUniversity of Ljubljana

Biostatistics and Bioinformatics , Data Collection, Data Mining , Data Science, Design of experiments, Econometrics, Mathematical Statistics, Measurement , Modeling and Simulation, Network Analysis, Sampling Techniques , Social Science Methodology, Statistical Applications, Statistics Education, Actuarial and Financial Statistics, Other Areas of Statistics

Applied Mathematics (in general),    Didactics of Scientific Disciplines

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

Advances in data collection and social media have led to network and graph data becoming available in many areas, including social sciences, biological sciences, and engineering. Understanding and modeling network structure, as well as conducting rigorous statistical inference to assess uncertainty, can provide crucial insights into the dynamics and interaction mechanisms of the system. Statistical network analysis to date has largely focused on the setting where a single network is observed as a noisy version of some underlying structure of interest. This setting in itself is challenging, requiring adaptation of existing statistical frameworks to networks and bridging the gap between theoretically optimal performance and computational feasibility. The workshop will start by covering recent advances in this setting.

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

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

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.

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

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 Structues

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

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

CIRM – Centre International de Rencontres Mathématiques

CONFERENCE

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

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

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

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)

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

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

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

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

American Statistical Association

American Statistical Association

American Statistical Association