Conferences and Meetings on Probability and Statistics, Game Theory

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.

International Joint Usage / Research Center – RIMS

CIRM – Centre International de Rencontres Mathématiques

CONFERENCE

International Joint Usage / Research Center – RIMS

International Joint Usage / Research Center – RIMS

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)

International Joint Usage / Research Center – RIMS

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.

The Copenhagen School of Stochastic Programming is a PhD course that provides a rigorous and research-oriented introduction to stochastic programming, a mathematical framework for decision-making in the presence of uncertainty. In many real-life problems, important information is unknown to the decision-maker and only distributional information is available. Examples include the scheduling of power generation while demand and renewable production is uncertain, investments in assets with uncertain future returns or production of goods for which demand is stochastic.

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 Mathematics and its Applications

This conference on financial mathematics will be focusing on pressing challenges in finance and insurance produced by climate change, demographic developments, and the ever-increasing dominance of data and information. Alongside the challenges, this three-day conference’s goal will devote time to the role and responsibilities financial and insurance mathematics have in developing solutions and in assisting with transitions necessary to mitigate irreversible adverse environmental and socio- economic impact. The aim is to promote interdisciplinary cooperation bridging mathematics, statistics and computer science with finance, climate science, insurance and economics. Industry professionals and members of government agencies will be invited to share their experience and expertise alongside academic experts in the field in order to scope out the most urgent research directions with the highest potential for incisive solutions.

Email: conferences@ima.org.uk

Mathematical Finance, Actuarial Science, Climate Change Risk, Digital Finance, Green Energy and Finance,

Meetings of Professional Bodies in Mathematics,    Mathematical Economics and Finance

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.

International Society for Bayesian Analysis (ISBA)

This is the 16th edition of the world meeting of the International Society for Bayesian Analysis (ISBA). The purpose of the meeting is to bring together the diverse international community of investigators in statistics who develop and use Bayesian methods to share recent findings and to present new and challenging problems. The conference will include foundational lectures presented by Subhashis Ghosal, Steffen Lauritzen, Adrian Raftery, and Nancy Reid. In addition, keynote speakers include Francesca Dominici, Antonio Lijoi, David A. Stephens, and Richard Nickl. The Bruno de Finetti lecture will be delivered by Mike West and the Susie Bayarri lecture by Pierre Jacob. The meeting will further consist invited and contributed oral presentations and poster sessions.

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

Institute of Mathematical Statistics (IMS)

SPA Conferences are organised under patronage of the Bernoulli Society and can justifiably be regarded as the most important international scientific meeting on the theory and applications of stochastic processes. This series of the conferences is held every year except when the World Congress in Probability and Statistics takes place in the years divisible by 4. Due to the COVID-19 epidemic, the World Congress is postponed from 2020 into 2021, and the 42nd SPA is shifted from 2021 to 2022.

CIRM – Centre International de Rencontres Mathématiques

CONFERENCE

Institute of Mathematics & its Applications (IMA)

The success of modern codes for large-scale optimization is heavily dependent on the use of effective tools of numerical linear algebra. On the other hand, many problems in numerical linear algebra lead to linear, nonlinear or semidefinite optimization problems. The purpose of the conference is to bring together researchers from both communities and to find and communicate points and topics of common interest. This Conference has been organised in cooperation with the Society for Industrial and Applied Mathematics (SIAM).

Direct and iterative methods for large sparse linear systems. • Eigenvalue computation and optimization. • Large-scale nonlinear and semidefinite programming. • Effect of round-off errors, stopping criteria, embedded iterative procedures. • Optimization issues for matrix polynomials • Fast matrix computations. • Compressed/sparse sensing • PDE-constrained optimization • Distributed computing and optimization • Applications and real time optimization

Instituto Politécnico de Tomar

The purpose of the conference is to bring together researchers sharing an interest in a variety of aspects of statistics and its applications and offer them a possibility to discuss current developments in these subjects

Email: linstat@ipt.pt

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

Applied Mathematics (in general),    Modeling and Simulation

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.

Institute for Pure and Applied Mathematics (IPAM) at UCLA

As algorithmic decisions and likelihood predictions reach ever more deeply, and with increasing consequence, into our lives, there is an increasing mandate that they be “fair”. Who counts? Machine learning algorithms learn from training data; when these are biased so are the algorithms they produce. The workshop will examine sources of sex and gender bias in data, with emphases on impoverished women; women of color; trans and non-binary persons; and older women. This program is preceded by a Graduate Summer School on Algorithmic Fairness organized by Cynthia Dwork, and Guy Rothblum (Weizmann Institute of Science).

JSM Is … One of the Largest Statistical Events in the World — More than 6,500 attendees from 52 countries; 600+ sessions, including invited, topic-contributed, contributed, and poster; More than 1,000 student attendees; 75+ employers hiring for more than 200 positions; 80+ exhibitors; and 13 participating societies. It is also one of the broadest, with topics ranging from statistical applications to methodology and theory to the expanding boundaries of statistics, such as analytics and data science. JSM also offers a unique opportunity for statisticians in academia, industry, and government to exchange ideas and explore opportunities for collaboration. Beginning statisticians (including current students) can learn from and interact with senior members of the profession.

Casa Matemática Oaxaca (CMO)

AIRO - Italian Operations Research Society

The International Conference on Optimization and Decision Science is organized by AIRO, the Italian Operations Research Society, DINFO (Dept. of Information Engineering, Università degli Studi di Firenze. The Conference theme is open in the fields of operations research, optimization, problem solving and decision making, and their applications. A special focus will be on the theme “Operations Research: inclusion and equity”.

51st meeting of AIRO - Italian Operations Research Society

Many real world problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. These problems are frequently characterized by non-convex, non-differentiable, discontinuous, noisy or dynamic objective functions and constraints which ask for adequate computational methods. The aim of this workshop is to stimulate the communication between researchers working on different fields of optimization and practitioners who need reliable and efficient computational optimization methods.

Operational research,    Modeling and Simulation

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

This event marks the continuation of the successful series of Bayesian Nonparametric Workshops. It aims at congregating in Chile leading experts in this already consolidated and rapidly expanding field. The event considers a full week of plenary, invited, contributed and poster talks, reflecting the many and varied aspects of the theoretical, methodological, and applied work in the discipline. At the same time, we expect to attract many young researchers to the event, especially those residing in South America and, in Chile. The event features 3 keynote lectures (free topic), invited and contributed sessions, spanning all the wide spectrum of theory, methodology and applications of Bayesian methods from the nonparametric viewpoint. These include asymptotics, advanced computation, robustness, inference in high-dimensional settings, deep learning, machine learning, uncertainty quantification, clustering and applications.

CIRM – Centre International de Rencontres Mathématiques

Institute of Mathematical Statistics (IMS)

The first 2022 IMS ICSDS will be a four-day conference to be held in Florence, Italy in December 2022. Its objective is to bring together researchers in statistics and data science from academia, industry and government in a stimulating environment to exchange ideas on the developments of modern statistics, machine learning theory, methods and applications in data science. The conference will consist of several plenary sessions, and about 50 invited, contributed and poster sessions; with a portion of invited sessions designated for young researchers. The expected size of the conference is 300-400 participants. The conference will present topics with broad appeal, including: deep learning, causal inference, precision medicine, unsupervised, semi-supervised and supervised learning, nonparametrics, Bayesian statistics, environment statistics, network and graphic models, recommender systems, bioinformatics, high-dimensional data, functional data, genomics, drug discovery, statistics computations, imaging, intrusion and fraud detection, etc.

International Chinese Statistical Association (ICSA)

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.

Association of Nepalese Mathematicians in America (ANMA), Nepal Mathematical Society (NMS), Central Department of Mathematics at Tribhuvan University and Department of Mathematics at Kathmandu University

The conference provides a forum to a diverse group of scientists in applications of mathematics to natural and health sciences, engineering, and finance. Specific areas include, but are not limited to, differential equations, mathematical biology, computational mathematics, statistics, and big data, analysis, topology, number theory, algebra, mathematics education, optimization, operations research, quantitative finance, biomedical science, biophysics, and public health. The conference aims at bringing together research scholars from a variety of disciplines that impact nonlinear analysis and applications in bio- and physical sciences from the southeast Asian countries and around the globe.

Email: aryal@mail.usf.edu

Differential Equations, Mathematical Biology, Computational Mathematics, Statistics, Big Data, Analysis, Topology, Number Theory, Algebra, Mathematics Education, Optimization, Operations Research, Quantitative Finance, Biomedical Science, Biophysics, Public Health,

Applied Mathematics (in general),    Calculus, Differential Equations and Integration

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)