Conferences  >  Mathematics  >  Probability and Statistics, Game Theory

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.

The 2023 annual meeting of the French CNRS research network MASCOT-NUM will be held in Le Croisic from April 3 to April 6, and will be organized by the Groupement d'Intérêt Scientifique UQ@Paris-Saclay.

The event is dedicated to the 60th birthday of Fabrice Gamboa, with a series of presentation centered around Fabrice's favorite research topics. The first full day of the conference (April 4) will be mainly devoted, as is tradition, to presentations and posters made by doctoral students. The next two days (April 5–6) will be dedicated to research talks given by invited speakers, and a two-part lecture (2 x 1h15) given by Pierre Chainais.

GdR MASCOT-NUM is a French Research Group dealing with stochastic methods for the analysis of numerical codes.

Numerical Analysis and Computational Mathematics,    Computational Physics and Numerical Simulation

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.

The conference will bring together various researchers working on reflected stochastic processes and their applications in other fields of mathematics. The conference will reflect the diversity of RBM topics: from the historical beginnings of the study of RBM to new developments and applications.

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.

Institute of Mathematics at the University of Granada (IMAG)

t is undisputed that the Earth is experiencing a period of changing climate, and due to climate change, it is expected that extreme events (e.g., heat waves, floods, storm surges, hurricanes, wildfires, earthquakes) may be more frequent, severe, and interdependent in the future, thus leading to larger impacts. An important step towards resilient extreme events monitoring and evaluating the hazards to infrastructure is to develop novel and rigorous mathematical and statistical framework that can identify areas vulnerable to compound extreme phenomena. In the current Big Data era, the difficulty of this task is often exacerbated with the data being increasingly massive and complex.

Applied Mathematics (in general),    Modeling and Simulation

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

Princeton University

International Conference on Statistical Foundations of Data Science and their Applications will be held at Princeton University in May 8-10, 2023. The conference will bring together collaborators and leading researchers in statistics and data science. The conference will provide an excellent forum for scientific communications and promote collaborations among researchers in statistics and data science. The program covers a wide range of topics presenting recent developments and the state of the art in a variety of modern research topics on statistics and data science as well as their applications.

Information & Knowledge Management, Big Data Computing,    Scientific Computing and Data Science

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 – Centre International de Rencontres Mathématiques

ICERM

This workshop will focus on the intersection of mathematics, statistics, machine learning, and computation, when viewed through the lens of optimal transport (OT). Mathematical topics will include low-dimensional models for OT, linearizations of OT, and the geometry of OT including gradient flows and gradient descent in the space of measures. Relevant statistical topics will include reliable and efficient estimation of OT plans in high dimensions, the role of regularization in computing OT distances and plans, with applications to robust statistics, uncertainty quantification, and overparameterized machine learning. Computation will be a recurring theme of the workshop, with emphasis on the development of fast algorithms and applications to computational biology, high energy physics, material science, spatio-temporal modeling, natural language processing, and image processing.

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

Scientific Computing and Data Science,    Numerical Analysis and Computational Mathematics

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

The primary goal of this event is to bring together researchers in some of the most active and promising areas of research in Stochastic Differential Equations and Statistics, to exchange ideas and to foster future collaborations. Another important goal is to expose academics, young researchers, and post-graduate students to the most recent developments in the above active areas.

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

University of Warsaw and Institute of Mathematics of the Polish Academy of Sciences

The workshop is meant to account for recent advances in research devoted to various aspects of Hawkes processes. Modeling with Hawkes processes has been intensively studied and applied since the advent of the theory of Hawkes process in early 1970-ties, especially in the recent years. Numerous areas of applications of Hawkes processes include seismology, epidemiology, finance, genetics and insurance. The workshop will encompass recent progress in (A): recent theoretical developments, including, in particular, asymptotic analysis of Hawkes processes, graph-based methods for modeling structure of excitations, and study of consistency and dependence in Hawkes structures; (B): applications, including applications in cyber-insurance, epidemiology and finance; (C) computational aspects; as well as (D): statistical methods for estimation of Hawkes kernels.

Email: 23-hawkesmodeling@impan.pl

Université Paris-Saclay / FMJH / LMO / Inria 

A tribute to the women and men who are shaping statistics Let us take a moment to be thankful! The conference will be an occasion to celebrate that n² ≥ 2n. 

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.

Mathematical Sciences Research Institute (MSRI)

The goal of the summer school is for the students to first become familiar with the concept of concentration of measure in different settings (Euclidean, Riemannian and discrete), and the main open problems surrounding it. The students will later become familiar with the proof techniques that involve the different types of localization and obtain expertise on the ways to apply the localization techniques. After attending the graduate school, the students are expected to have the necessary background that would give them a chance to both conduct research around open problems in concentration of measure, find new applications to existing localization techniques and perhaps also develop new localization techniques.

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

 Department of Actuarial Mathematics and Statistics at HWU

The 26th International Congress on Insurance: Mathematics and Economics (IME 2023) will take place on 4th – 7th July 2023, hosted by the Department of Actuarial Mathematics and Statistics at Heriot-Watt University (HWU), in association with the journal Insurance: Mathematics and Economics. The conference will take place at the Edinburgh Conference Centre at HWU’s Edinburgh campus. We are proud to have been given the opportunity to host the first in-person IME congress since Munich in 2019 and we look forward to welcoming you all in Summer 2023!

Climate Risk and Sustainability  • Cyber Risk  • Data Science  • Finance  • Insurance Technology  • Life  • Non-Life  • Pandemic Risk  • Pension and Retirement  • Quantitative Risk Management 

Applied Mathematics (in general),    Mathematical Economics and Finance

ISIPTA 23 is locally organised by members of the UNIMODE Research Unit of the Department of Statistics and Operations Research and Mathematics Didactics, University of Oviedo.

ISIPTA is the primary international forum on the theories and applications of imprecise probabilities. The symposium is open to contributions on all aspects of imprecise probabilities, 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.

ICoMS 2023 is organized to bring together worldwide leading researchers and practitioners interested in advancing the state of the art in Mathematics and Statistics, for exchanging knowledge that encompasses a broad range of disciplines among various distinct communities. It is hoped that researchers and practitioners will bring new prospects for collaboration across disciplines and gain inspiration to facilitate novel breakthroughs. The themes for this conference are thus focused on "Mathematics of Digital Twins - Analysis, Stochastics and Numerics".

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.

Bernoulli Society for Mathematical Statistics and Probability

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. They are held annually except for the years when the World Congress in Probability and Statistics takes place.

American Statistical Association

Waseda University, Tokyo

Centre de recherches mathématiques (CRM)

Robert Langlands est un des mathématiciens contemporains les plus influents. Il est surtout connu pour un ensemble de conjectures très profondes dont l'étude porte maintenant le nom de «programme de Langlands». Tout au long de sa carrière, de nombreux prix ont été décernés au professeur Langlands. En particulier, ses travaux lui ont valu de recevoir le prix Wolf en 1996 et le prix Abel en 2018. Au-delà des mathématiques, le professeur Langlands s'intéresse à l'apprentissage des langues et à la poursuite de la recherche mathématique dans ces langues. En plus de l'anglais, il parle couramment le français, le turc et l'allemand. En 2019 il a créé un Fonds de dotation au CRM dont le but est de soutenir les activités scientifiques de recherche et de formation en français.  Trois mini-cours s’adressant aux étudiants de premier cycle sont présentés à l’édition 2023 de cette école d’été francophone. Ils sont appuyés par le Fonds de dotation Langlands.

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

Eurandom / Department of Mathematics and Computer Science, TU/e

CIRM – Centre International de Rencontres Mathématiques

CIRM – Centre International de Rencontres Mathématiques

V.I. Romanovsky Institute of Mathematics of the Academy of Sciences of the Republic of Uzbekistan

Email: bpconference2023@gmail.com

branching processes, Growth fragmentation processes, coalescence, Branching random walks

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

CIRM – Centre International de Rencontres Mathématiques

Statistical thinking in the age of AI : robustness, fairness and privacy

Institute of Mathematical Statistics

IMS-APRM will provide an excellent forum for scientific communications and collaborations for the 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 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.

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

Eastern North American Region International Biometric Society (ENAR)

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

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

Complex Systems, Chaos and Self-Organisation,    Modeling and Simulation

American Statistical Association

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

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

Algebra,    Geometry and Topology

American Statistical Association

Institute of Mathematical Statistics

American Statistical Association (ASA)