Conferences  >  Mathematics  >  Probability and Statistics, Game Theory

Banach Center

The aim of the workshop "Random Matrices and Multivariate Analysis" is to bring together researchers sharing an interest in the theory of random matrices, especially their distributions and applications, as well as in statistical procedures in multivariate analysis. It would involve a variety of fields such as linear and multilinear models, multivariate and matrix-variate distributions, statistics on manifolds, spectral analysis, generalized inverses, data visualization, covariance models, moments of random matrices, applications to economics, agriculture and engineering problems, etc.

CIRM – Centre International de Rencontres Mathématiques

Modeling and Simulation,    Optimization Theory, 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

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 40th. 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.

Of our interest is a broad range of topics from mathematical statistics, multivariate statistical methods to innovative applications. The MSA is also a place of presenting new computational techniques applicable in the field of statistics.

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

The Research Institute for Mathematical Sciences (RIMS)

Applied Mathematics (in general),    Mathematical Physics

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)

Banach Center

The aim of the conference is to bring together researchers sharing an interest in mathematical statistics and its applications. The main topics of the meeting comprise parametric and nonparametric estimation, planning of experiments, linear and generalized linear models, testing hypotheses, time series models, analysis of multivariate data, asymptotic analysis, graphical models, analysis of high-dimensional data, and their applications to genetics and biology, engineering, economy, agriculture and many other fields of contemporary science and technology. The participants will present results of their recent research in the field of mathematical statistics and its applications. An essential part of the conference will be lectures presented by experienced invited speakers from Poland, Germany and US addressed mainly to young researchers. Moreover, the meeting will give rise to discussions on possible solutions to the presented problems.

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)

The Research Institute for Mathematical Sciences (RIMS)

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.

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

This workshop brings together many of the leading international researchers in the area of reinforcement processes and graphs.

The Research Institute for Mathematical Sciences (RIMS)

Eurandom – Workshop Centre in the area of Stochastics (Eindhoven University of Technology)

Causal inference is at the center of research. Perhaps because of its central position in so many sciences, multiple perspectives have arisen from which causal inference is studied. Two popular ones are the potential outcomes framework and the graphical approach. In this workshop, researchers from many domains (mathematics, (bio)statistics, economics, computer science, social science,...) will look for common ground in their approaches towards causal inference. The workshop is aimed at junior researchers working in causal inference, from any domain.

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

The workshop will bring together some of the world's top experts and early career mathematicians 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, often 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 invite many promising early career mathematicians.

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

High-quality randomness is a valuable commodity in computation, experimentation, and discovery. This workshop focuses on randomness as a resource within real and complex algebraic geometry. The program highlights three current research trends: understanding the statistical properties of fundamental geometric invariants, developing randomized algorithms for symbolic and numerical calculations in algebraic geometry, and exploring the synergies between algebraic geometry and data analysis. This workshop will, for the first time, bring together a wide range of mathematicians interested in random algebraic geometry.

The Fields Institute

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

Particle Physicists study matter at its smallest and most fundamental scale. 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. Experiments studying these and other particles require large accelerators and detectors: the circumference of the LHC is 27 km and one of the detectors to study the collisions is 25 meters high and 45 meters long. Building and running these machines is expensive, in terms of money and human effort. It is therefore important to use the best statistical techniques to extract the maximum amount of information from the hard-won data. This workshop brings together Statisticians and experimental Particle Physicists to discuss how best to achieve this.

The field of arithmetic statistics is a fast-moving area of number theory, dealing with distributional results for many basic and important objects: ranks of elliptic curves, central values of L-functions, number fields, modular symbols, orbits of discrete groups etc. The techniques involved come from diverse areas of mathematics e.g. automorphic forms, ergodic theory, spectral theory, dynamical systems, probabilistic number theory, representation theory and random matrix theory. This workshop intends to bring together researchers of all career levels to present their work and exchange ideas and techniques on arithmetic statistics. Motivated by the programme of Mazur and Rubin based on their computational study of elliptic curves over abelian extensions of fixed degree, the meeting will focus on modular symbols, Manin's noncommutative modular symbols, equidistribution of lattice points on the sphere, Heegner points, and closed geodesics, including the error term in the Prime Geodesic Theorem.

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

A distinguished feature of the last few decades is the increasing availability of technological innovations to an everyday broader spectrum of society. This phenomenon has rapidly paved the way for the development of new economies such as e-commerce, sharing economies and online advertising. These activities are characterised by, for instance, a higher number of agents from both the supply and demand side, and an unprecedentedly large menu of tailor-made and personalised services. Naturally, this has led to more intricate behaviours and interactions at all levels of the economy. Consequently, there is a pressing need for the creation of economic theories that are able to explain the rationale of the participants, the way their actions are aggregated in society, and which are compatible with documented evidence. This workshop will unite specialists of stochastic control and economic theory, who will work and explore how recent theoretical developments in their respective fields can be applied to these newly identified problems.

Casa Matemática Oaxaca (CMO)

With the advances of high-throughput technologies, genomics and related fields are hitting the thick data era. Many problems in biology cannot be studied with traditional and exact methods, and the development and application of tailored methods to analyze rich and large-scale biological datasets are still lagging behind. In addition, diverse layers of knowledge in genomics, such as transcriptomics, epigenomics, proteomics and metabolomics need to be integrated and studied jointly with multi-omics approaches to unfold the complex mechanisms of biological systems and organisms. Sparked with creative solutions from data science, computational and data scientists can contribute to the development and implementation of innovative solutions to extract, wrangle, visualize, analyze and store complex data resulting from high-throughput technologies with efficient, transparent and reproducible analytical pipelines.

Systems Biology and Computational Biology,    Scientific Computing and Data Science

Banach Center

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

Casa Matemática Oaxaca (CMO)

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 {\em 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.

Eurandom – Workshop Centre in the area of Stochastics (Eindhoven University of Technology)

The NASPDE workshop has been hosted approximately once a year since 2007. The aim of this three-day workshop is to gather leading researchers working on various aspects of numerical methods for stochastic PDEs and/or PDEs with uncertain input, as well as their applications in science and engineering. Topics to be covered range from the analysis and implementation of numerical schemes for PDEs with uncertainty to recent developments in sampling (Monte Carlo) strategies and Bayesian inverse problems, as well as real-world applications of differential equations with randomness.

Numerical Analysis and Computational Mathematics,    Calculus, Differential Equations and Integration

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.

Casa Matemática Oaxaca (CMO)

Probability theory is the mathematical theory concerned with the analysis of random phenomena. Many of such phenomena that continuously evolve in time may mathematically be modeled by stochastic processes or random fields. Stochastic analysis is an active branch of probability theory that provides a wide range of tools to study those processes and fields. The workshop \textit{New trends in stochastic analysis} intends to bring together worldwide renowned experts in stochastic analysis and junior researchers in order to identify fundamental future research directions and to facilitate inter-generational exchange.

CIRM – Centre International de Rencontres Mathématiques

The proposed conference aims to bring together experts from different fields: group theory, ergodic theory, probability theory and descriptive set theory. The common interest is to study properties and invariants of infinite groups using various tools, like spectral theory, L2 theory, entropy, orbit equivalence, profinite methods, random walks and graph convergence. There is already considerable interaction between these fields and the proposed participants, but much more is needed. The conference will allow participants to assimilate each others language and will open new connections.

Group Theory,    Systems theory, Control and Automation

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

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

The study of random growth models connects to a large number of areas in probability theory such as integrable probability, homogenization, percolation, disordered systems, interacting particle systems, random matrices, SPDEs, random polymer measures, random dynamical systems, and random walk in random environment. The last two decades have seen rapid advances in all these directions, with a significant acceleration in progress in several of these subfields recently, including solutions of several long-open problems. This is an exciting time for the subject, with new possibilities in extending universality, new geometric approaches, and more. The main objective of this workshop will be to bring together a number of top experts on these various subfields to disseminate these recent developments and exchange ideas that will fertilize the ground for yet another leap forward. This opportunity will also be used to celebrate the work of Timo Seppalainen in the field.

Banach Center

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

Analysis,    Thermodynamics, Fluid Dynamics and Statistical Physics

Banach Center

Particular areas of focus and interest for the meeting include: - Application of generic chaining techniques to study the regularity of stochastic processes and lower and upper bounds on norms of random vectors and matrices - Relation between various isoperimetric and concentration inequalities as well as their applications to convex geometry, statistics and computer science - Applications of modern empirical process and strong approximation methods to problems of machine learning and inference in high- and infinite-dimensional statistical models - Interactions between information-theoretic inequalities, convex geometry and high-dimensional probability - Stein’s method and its use in high-dimensional probability - Nonasymptotic random matrix theory - Interactions between high dimensional probability and statistical physics - Super-concentration phenomena in high dimension: new tools, examples and open problems - Application of Itô calculus to convex geometry - Identification of major problems and areas of potentially high impact for applications and use in other areas of mathematics, statistics, and computer science

ICMS - International Centre for Mathematical Sciences

This workshop will focus on developing new statistical solutions to address these new ecological data-driven challenges.

Applied Mathematics (in general),    Modeling and Simulation

CIRM – Centre International de Rencontres Mathématiques

ICMS - International Centre for Mathematical Sciences

The International Conference on Stochastic Analysis and Applications (ICSAA) is a biannual on Stochastic Analysis. The first edition of this conference series was held in Washington in 2006, for past editions of ICSAA see https://www.math.uni-bielefeld.de/icsaa/#history. It is in the scope of the conference to embrace a wide breadth of topics in stochastic analysis and interplaying mathematical disciplines.

American Nuclear Society (ANS)

Since 1978, the ANS biennial topical conference on Probabilistic Safety Assessment has been a worldwide forum for communication of major probabilistic risk and safety topics, including issues, methods, applications, insights, policy, research, and risk-informed regulation experience. PSA 2023 will be of interest to those working in traditional applications such as nuclear reactor facilities, nonreactor installations, processing, decontamination & decommissioning, storage as well as other nontraditional areas where probabilistic safety approaches are applied.

American Statistical Association

CIRM – Centre International de Rencontres Mathématiques

CIRM – Centre International de Rencontres Mathématiques

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

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 2023 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.

Astronomy, Astrophysics and Cosmology,    Scientific Computing and Data Science

CIRM – Centre International de Rencontres Mathématiques

The Fields Institute

Scheduled as part of Thematic Program on Operator Algebras and Applications

American Statistical Association

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

American Statistical Association

American Statistical Association (ASA)