Konferenzen  >  Mathematik  >  Statistik, Spieltheorie

Sampling high dimensional probability measures is a key issue in various scientific fields, including molecular dynamics and computational statistical physics (with applications in physics, chemistry, materials science and computational biology), as well as statistics (in particular Bayesian statistics) and more recently machine learning.

Interactions between molecular dynamics and computational statistics have a fruitful and successful history. We believe that a school at the intersection of these two fields will be beneficial to both communities, as the best methods can be transferred to both fields, which would then be able to exchange and share their respective knowledge and expertise. Young researchers are a particularly receptive audience to this end, as we strongly believe that being simultaneously exposed to both fields at an earlier stage of the career will have a long lasting impact on their scientific production.

Centro de Investigación en Matemáticas (CIMAT) - Guanajuato

This workshop aims to strengthen the interactions between harmonic analysis, partial differential equations, and probability communities in Mexico and abroad. The event will take place in Centro de Investigación en Matemáticas (CIMAT) in Guanajuato Mexico from the 28th of September to the 6th of October of 2023 and consists of two parts. From the 28th to the 30th there will be a series of talks from leading experts in the three areas. During the week starting the 2nd of October, there will be three mini-courses with problem sessions and different panels geared toward graduate students and researchers.

Each mini-course will focus on one of the three main areas and consist of 3 lectures of 90 minutes and 3 problem sessions of 60 minutes each, all activities will be held in English. Participants are expected to actively engage and complete the assignments in at least two of the courses, everybody will be encouraged to attend the three courses. Tentatively the panels will address academic applications, open problems, and research directions. We will also invite students to present their research in a poster session this week.

Participants of the event that require an accommodation will be lodged at CIMATEL, a housing facility a walking distance from CIMAT.

Email: hector.chang@cimat.mx

Potential theory, partial differential equations, harmonic analysis, probability

Analysis,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

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.

Astronomie, Astrophysik und Kosmologie,    Wissenschaftliches Rechnen und Datenwissenschaft

CIRM – Centre International de Rencontres Mathématiques

National Institute of Statistical Sciences

Excessive use of force by police is an urgent problem of concern to sociologists, statisticians, policymakers, and the general public. Issues with data quality, processing of unstructured data, tradeoffs between data access and privacy concerns, statistical challenges in analyzing fairness, and other topics have been highlighted as specific areas of concern. In addition, the methodologies used to analyze police use of force have also been extremely varied and results are often incompatible or rely on implausible unstated assumptions. This in-person Ingram Olkin Forum (IOF) workshop is an extension to our earlier online IOF webinar hosted in June 2021 featuring speakers Dean Knox (University of Pennsylvania), Travis Riddle (National Police Foundation), and Robin Engel (University of Cincinnati); the webinar was moderated by Claire Kelling (Carleton College). During the in-person forum, we hope to shed light not only on unique approaches and perspectives in these areas, but also to suggest steps that statisticians and researchers should consider that might aid in a deeper understanding of these issues and provide better evidence to support reform efforts.

The Fields Institute

Scheduled as part of Thematic Program on Operator Algebras and Applications

Dynamic methodologies for probabilistic safety assessment (PSA) and risk assessment continue to advance steadily. A number of (primarily research-oriented) case studies have been published, demonstrating the additional capabilities and insights that dynamic PSA approaches can deliver, while advances in computational power and methods allow problems of increasing scale to be tackled. Recognising that both technical and organisational obstacles to the practical deployment of dynamic PSA remain, the Working Group on Risk Assessment (WGRISK) of the NEA Committee on the Safety of Nuclear Installations (CSNI) is carrying out a task to assess the potential role of currently available and emerging dynamic PSA tools and methodologies in risk-informed decision making, to identify the practical challenges for their application to support such decisions, and to evaluate the outlook for overcoming these challenges. With these goals, the WGRISK is organising an international workshop Dynamic Probabilistic Safety Assessment and its Role in Risk-Informed Decision Making to be hosted by the US Nuclear Regulatory Commission (US NRC) in Rockville, MD, United States, on 16-17 November 2023.

Eurandom

Warehouses are essential to the performance of today’s supply-chains. The analysis and optimization of warehouse performance is important to reduce the experienced delay of customers, especially considering the growth in demand fueled by e-commerce. During this three-day workshop various leading experts and young researchers will present their research on the evaluation and optimization of warehouses, using methods, e.g., from combinatorial optimization, queueing theory and machine learning. We plan to discuss both mathematical modeling and analysis, as well as the practical aspect of warehousing design.

Angewandte Mathematik (allgem.),    Optimierungsrechnung, Entscheidungsunterstützung

Institute of Mathematical Statistics (IMS)

The objective of ICSDS is to bring together researchers in statistics and data science from academia, industry, and government in a stimulating setting to exchange ideas on the developments of modern statistics, machine learning, and broadly defined theory, methods, and applications in data science.

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.

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

Mathematische Physik,    Kurse und Veranstaltungen für Studenten der Mathematik

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

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

Kurse und Veranstaltungen für Studenten der Mathematik,    Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen

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

Society for Industrial and Applied Mathematics (SIAM)

Uncertainty quantification (UQ) is essential for establishing the reliability of predictions made by computational models. Such models are often deterministic, and the UQ discipline has traditionally focused on how to quantify uncertainty in that case. Statistical methods play a major role in that effort, and represent an alternative modeling strategy when less is known about the system of interest. The two approaches are naturally synergistic, and with the emergence of machine learning as a practical tool, it is becoming more important than ever to view the whole UQ ecosystem through a unifying lens. UQ is application-driven and inherently interdisciplinary, relying on a broad range of mathematical and statistical foundations, domain knowledge, and algorithmic and computational tools. UQ24 will bring together mathematicians, statisticians, scientists, engineers, and others interested in the theory, development, and application of UQ methods.

Major conference themes will include mathematical and statistical foundations, data-driven approaches and computational advances, applications of UQ in biology, medicine, environmental and climate sciences, decision making for societal benefit, and all areas of physical science and engineering.

Research Institute for Mathematical Sciences (RIMS)

Eastern North American Region International Biometric Society (ENAR)

Fields Institute

Seminar on Stochastic Processes has the status of Permanent Co-sponsored Meeting of the Institute of Mathematical Statistics.

Seminar on Stochastic Processes is a series of annual conferences devoted to stochastic analysis, Markov processes and other topics in probability theory of current interest. Every conference features five invited speakers and provides opportunity for short informal presentations of recent results and open problems.

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

CIRM – Centre International de Rencontres Mathématiques

Institute for Pure and Applied Mathematics (IPAM)

The interplay of integrable models of statistical mechanics with combinations of probability theory and algebraic methods such as transfer matrix formalism, diagram algebras, and quantum group techniques, has proved fruitful in the past decades in both mathematics and physics. It has been particularly beneficial to enhance interactions between researchers working at the interfaces of these areas. The aim of this workshop is to bring together experts in algebraic and probabilistic aspects of solvable lattice models as well as researchers working on related algebraic subjects who have a common interest in understanding universal phenomena such as KPZ behavior, limit shapes, and convergence of lattice models to CFT predictions. In particular, we aim to develop interactions between different approaches to the study of lattice models, such as Bethe ansatz, (inhomogeneous) CFT methods and the tangent method. Other topics of potential interest include multi-species, forest fires and sandpile models, for which such interactions are less developed as for now. We also intend to foster interactions between researchers studying quantum groups and CFT on the one hand and probabilists working on SLE/CLE topics on the other, hoping for a fruitful synthesis of ideas and techniques.

Department of Mathematics at Utah Valley University (UVU)

The International Workshop in Sequential Methodologies (IWSM) is a biennial conference that covers all aspects of sequential methodologies in statistics, applied mathematics, information theory, change point detection, and virtually any applications in mathematical finance, quality control, clinical trials, signal and image processing, and other related fields. The goal of the workshop is to bring together researchers and users from all areas of sequential methodologies. The presentations are not limited to the field of sequential analysis. Speakers from other areas of probability, statistics, and related areas are welcome.

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

Komplexe Systeme und Chaos ,    Simulation

Casa Matemática Oaxaca (CMO)

Large-scale, high-dimensional data sets are becoming ubiquitous in modern society, particularly in the areas of physical, biomedical, and social applications. For example, in the problem of predicting thyroid malignancy from biopsy images, the images are typically about 150,000 by 100,000 dimensions, which limit the application of many existing methods. There is an urgent need for accurate and efficient mathematical and statistical tools for the analysis and engineering of high-dimensional data sets. The proposed 5-Day workshop will bring researchers from different disciplines to collaboratively address the foundational computational and theoretical challenges in high-dimensional data analysis. The workshop is designed around the simple question ``how to accurately and efficiently process large-scale data in 10+ dimensions’’. Invited participants will review existing mathematical and statistical tools for high dimensional data sets, including the Monte Carlo methods, randomized algorithms, dimension reduction, sparse grid, network analysis, and interpolation-based deep neural networks, and compare their performance and address their limitations. The invited participants will collaboratively address the current challenges in high-dimensional data analysis, and design new strategies by combining existing tools and by introducing new methodologies for problems in 10+ dimensions.

Komplexe Netzwerke,    Angewandte Mathematik (allgem.)

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

The fundamental and simple model of Stochastic Games was introduced in the fifties by prominent mathematicians (Shapley, Bellman) and form today a well adopted and thoroughly studied notion, with applications in computer science, mathematics, economics, and beyond. This wide adoption implies that many different research communities are involved in the study of stochastic games, oftentimes with different but related goals. Each community develops different tools towards understanding stochastic games, leading to a very broad and diverse literature with a variety of techniques and approaches. The goal of this Dagstuhl Seminar is to bring together researchers interested in the algorithmic aspects of Stochastic Games, from a theoretical as well as practical perspective.

Department of Mathematics, University of Coimbra, Portugal

The conference will bring forth recent advances and trends in the mathematical theory of ordered statistical data, 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.

Approximations, Bounds, Characterisations, Recurrence, Relations, Distribution Theory and Probability Models, Stochastic Orders, Reliability Theory and Survival Analysis, Censoring, Concomitants, Statistical Interference, Applications of Ordered Data, Information and Entropies, Nonparametric Methods, Shape Constrained Estimation, Ranked Set Sampling, Asymptotic Theory

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

This workshop will bring together applied mathematicians who work on different aspects of stochastic differential games to discuss the recent achievements and challenges in light of new trends.

game theory

The conference will bring forth recent advances and trends in several areas of nonparametric statistics, in order to facilitate the exchange of research ideas, promote collaboration among researchers from all over the world, and contribute to the further development of the field. The program will include plenary talks, special invited talks, invited talks, contributed talks and a poster session on all areas of nonparametric statistics.

Our workshop covers a broad range of topics, such as complex longitudinal and survival data analysis, high-dimensional data analysis, precision medicine, and artificial intelligence/machine learning methods, among others. Our workshop will have 2 plenary sessions, 24 invited sessions, and a poster session.

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,    Geometrie und Topologie

Casa Matemática Oaxaca (CMO)

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

Kurse und Veranstaltungen für Studenten der Mathematik,    Geometrie und Topologie

Simons Laufer Mathematical Sciences Institute (SLMath)

Networks, graph driven algorithms, and dynamics on graphs such as epidemics, random walks and centrality measures all play a major role, both in our daily lives as well as many scientific and engineering disciplines. This introductory workshop will bring together experts and junior researchers in combinatorics, probability, and statistics to share a broad vision of major challenges and objectives, with a primary focus on models of random graphs and their limits, network inference, dynamic processes on networks and algorithms and optimization on random structures.

Network models and random graphs, statistcal learning and network inference, counting and sampling discrete structures, dynamics on networks, probabilistic analysis of network algorithms

American Statistical Association

Institute of Mathematical Statistics

American Statistical Association (ASA)