Conferences and Meetings on Probability and Statistics, Game Theory

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

Olaf Behnke (DESY), Louis Lyons (Imperial & Oxford)

With higher accelerator energies and beam intensities, searches for New Physics (NP) have been a very active area. While there is motivation for NP, so far model-driven searches have successfully excluded increasing volumes of parameter space, but not yielded evidence for new particles. This has led, over the last few years, to the development of model-independent searches. By now, they have become a useful complement to traditional approaches targeting some specific form of NP. In many of the new searches, Machine Learning has played an important role. The aim of this meeting is to compare and contrast the assumptions and performance on these approaches, and to see what can be learned from Goodness of Fit methodology. This meeting will bring together physicists who are active in this field, those who want to be involved in the future, and Statisticians, to discuss the relevant issues.

Email: olaf.behnke@cern.ch , l.lyons@physics.ox.c.uk

Particle Physics, searches, model-independent, machine learning, goodness of fit

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

Laboratory Paul Painlevé (Université de Lille)

The conference « Scale Invariance and Randomness », which will take place next to Lille (north of France) from 7 June 2022 to 10 June 2022, is a part of a thematic semester on Probability and Statistics organized by the Laboratory Paul Painlevé (Université de Lille). The event is associated with the French GDR 3475 « Analyse Multifractale et Autosimilarité ». The purpose is to bring together researchers from all over the world in order to explore various aspects of self-similar stochastic processes and their applications. The topics of the conference include, among others, stochastic analysis, fractal geometry, multifractal analysis, stochastic partial differential equations, statistical inference for stochastic processes, limit theorems, long memory, Stein's method, fractional and multifractional processes, random series, and wavelet methods.

American Statistical Association

SDSS 2022 will offer many occasions to learn about new data tools and methodologies, see data science in action, and network with experts.

Beyond Big Data: Influencing Science, Technology, and Society

Lake Como School of Advanced Studies

Complex Systems, Chaos and Self-Organisation,    Applied Mathematics (in general)

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.

ICERM

A challenge for mathematical modeling, from toy dynamical system models to full weather and climate models, is applying data assimilation and dynamical systems techniques to models that exhibit chaos and stochastic variability in the presence of coupled slow and fast modes of variability. Recent collaborations between universities and government agencies in India and the United States have resulted in detailed observations of oceanic and atmospheric processes in the Bay of Bengal, the Arabian Sea, and the Indian Ocean, collectively observing many coupled modes of variability. One key target identified by these groups was the improvement of forecasts of variability of the summer monsoon, which significantly affects agriculture and water management practices throughout South Asia. The Monsoon Intraseasonal Oscillation is a northward propagating mode of precipitation variability and is one of the most conspicuous examples of coupled atmosphere-ocean processes during the summer monsoon. Simulating coupled atmosphere-ocean processes present mathematical challenges spanning numerical methods, data assimilation, stochastic modeling, dynamical systems and chaos, and uncertainty quantification. Predicting monsoon variability is one of the hardest, most important forecasting problems on earth due to its impact on billions of people, a key aspect of the desire to push weather forecasts into the management-actionable “medium-range” horizon of weeks to seasons. Addressing this challenge requires an interdisciplinary effort to combine observations, computation, and theory. A better understanding of these processes and how they can be represented in a variety of coupled ocean-atmosphere simulations and models (including statistical and dynamical approaches) and forecast systems (including data assimilation techniques and uncertainty quantification) is the primary topic of this workshop. While the set of observations to be discussed will emphasize this region, the mathematical and computational aspects of the program will be significantly broader, covering: coupled ocean-atmosphere modeling for weather models, climate models and idealized models; theory of the atmospheric and oceanic boundary layers, and waves on the interface; data assimilation in coupled modeling systems; and numerical methods for coupled systems.

Program Staff;     Phone: [1-401-863-5030];     Email: info@icerm.brown.edu

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.

Lake Como School of Advanced Studies

Complex Systems, Chaos and Self-Organisation,    Courses and Events for Math Students and Early Career Researchers

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.

ICERM- Brown University

This symposium is designed to bring together statistical and data science researchers either working directly in the area of HIV or whose work has direct relevance to problems and data structures encountered in HIV research. We are particularly interested in engaging data science researchers in fields such as computer science, engineering, and applied mathematics, whose work in related areas might lead to innovative new approaches.

Phone: [4018635019];     Email: Kellie_shaughnessy@icerm.brown.edu

statistical, data science, HIV

ECODEP at CYU Cergy Pontoise

This Conference aims at considering issues related with networks Reconstructione for Ecology; issues considered included - models of ecological networks - models of abundance - estimation of time series and random fields - non identifiable models, - statistical learning, - partly observed models

Email: doukhan@cyu.fr

statistics, time series, ecology, population dynamic

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

International Center for Theoretical Sciences (ICTS-TIFR)

This program will focus on the model of first-passage percolation (FPP) --- a stochastic growth model --- and its close relatives. Stochastic growth models arise from physics and biology, and have been studied since the 1960s. Such systems address the behavior of growing interfaces, the spread of bacterial colonies, and the fluctuations of long chemical chains in a random potential.

Applied Mathematics (in general),    Modeling and Simulation

Statistical Modelling Society and University of Trieste, Department of Economics, Business, Mathematics, and Statistics “Bruno de Finetti”

The 36th International Workshop on Statistical Modelling will be held in Trieste (Italy) 18-22 July 2022. The IWSM is one of the major activities of the Statistical Modelling Society, founded with the purpose of promoting and encouraging statistical modelling in its widest sense. The workshop aims to involve both academic and professional statisticians and data analysts with a particular focus on real data problems which involve an element of novel statistical modelling, or novel model application. Papers focusing on applications with important substantive implications as well as methodological issues are welcome, including new developments in Data Science. Submissions by students and young researchers are particularly encouraged. All the accepted papers will be included in the Workshop Proceedings.

Local Organising Committee;     Email: info@iswm2022.com

Data Science, Statistical Modelling, Statistics

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).

The Fields Institute

How can we obtain scientic benefits from statistical analysis of sensitive data, without compromising the privacy of the individuals who contribute their data? The past decade has seen rapid progress on this question due to the emergence of a mathematically rigorous privacy framework known as differential privacy. Informally, differential privacy provides a robust individual privacy guarantee, ensuring that no adversary, regardless of their capabilities, can learn much more about an individual user than they could have learned had that user's data never been collected.

Information Security and Information Privacy,    Social Networks and Social Aspects of Information Technology

Faculty of Economics, University of Porto

The International Symposium on Dynamic Games and Applications is a biennial professional event. The first one was held in 1984 in Haifa, Israel. It was followed by meetings in Williamsburg, USA (1986), Antibes, France (1988), Espoo, Finland (1990), Grimentz, Switzerland (1992), St. Jovite, Canada (1994), Kanagawa, Japan (1996), Maastricht, The Netherlands (1998), Adelaide, South Australia (2000), St. Petersburg Russia (2002), Tucson, USA (2004), Sophia Antipolis, France (2006), Wroclaw, Poland (2008), Banff, Canada (2010), Byšice, Czech Republic (2012), Amsterdam, the Netherlands (2014), Urbino, Italy (2016), Grenoble, France (2018).

We are pleased to announce that the 20th International Conference on Random Structures and Algorithms "RS&A201/2022" will be held at the Institute of European Culture in Gniezno, 1-5 August, 2022. The conference, organized biennially since 1983, brings together probabilists, discrete mathematicians and theoretical computer scientists working in probabilistic methods, random structures and randomized algorithms.

Algorithms and Data Structures,    Geometry and Topology

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.

Texas A&M University, College Station, TX

The goal of this in-person conference is to bring together researchers studying nonsmooth spaces from different perspectives, facilitating the exchange of ideas, problems, and mathematical techniques. Perspectives coming from probability, analysis on metric spaces, and Banach space theory are of particular emphasis. Interactions among these different fields have already proven exceptionally fruitful. For example, a famous fractal space constructed by Laakso to answer a purely metric measure theoretic question inspired a similar construction (pictured above) eventually used to characterize superreflexivity in Banach spaces. Later, uniform q-convexity, a quantitative refinement of superreflexivity, was metrically characterizing using Markov convexity – a measurement of the diffusivity of Markov processes in a metric space. Together with many more examples, these show how shared geometric objects play important roles in each subject while being viewed through different lenses. More interactions of this type will be necessary to solve important open problems, such as analyst’s traveling salesman-type problems and metric characterizations of other Banach properties.

Geometry and Topology,    Analysis

Casa Matemática Oaxaca (CMO)

Lake Como School of Advanced Studies

Pattern Recognition and Image Processing, Machine Vision,    Earth Observation, Global Positioning System

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

Courses and Events for Math Students and Early Career Researchers,    Scientific Computing and Data Science

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

The purpose of SAGT is to bring together researchers from Computer Science, Economics, Mathematics, Operations Research, Psychology, Physics, and Biology to present and discuss original research at the intersection of Algorithms and Game Theory.

CIRM – Centre International de Rencontres Mathématiques

Applied Mathematics (in general),    Cryptography, Blockchain and Information Security

CIRM – Centre International de Rencontres Mathématiques

Modeling and Simulation,    Operational research

Lake Como School of Advanced Studies

Modeling and Simulation,    Courses and Events for Math Students and Early Career Researchers

CIRM – Centre International de Rencontres Mathématiques

Institut Henri Poincaré (IHP)

Geometry and Topology,    Scientific Computing and Data Science

Held every 3 years, ICOSDA provides a platform for researchers and practitioners to share and discuss recent advances in distribution theory and its applications. The conference encourages opportunities for research collaborations.

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

La Trobe University, Melbourne

This conference will precede the biennial Forum Mathematics for Industry FMfI2022 to be held at the same location 21-24 November.

Institut Henri Poincaré (IHP)

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.

CIRM - Jean-Morlet Chair

The spring school serves an introduction to the conference "Arithmetic Statistics", and aims to provide PhD students and early stage researchers with the necessary background to enable them to fruitfully partake in the conference. lt will also be an occasion for Master students to have an introduction towards research in number theory.

Number Theory, Arithmetic,    Courses and Events for Math Students and Early Career Researchers

CIRM - Jean-Morlet Chair

The theme of the conference is a type of number theory that has become very popular over the last decades, and that is influenced by the possibility of « experimentally » studying arithmetic objects with the help of a computer. Thanks to the wide availability of computer algebra systems, essentially any number theorist nowadays has this possibility at his fingertips. There are concrete objects that are not so easily determined « by hand », such as fundamental units in number fields of higher degree, or Mordell-Weil generators of point groups of elliptic curves, and a first impression of « what these typically look like » is often obtained by numerical experimentation.

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)