Tagungen und Workshops zum Thema Statistik, Spieltheorie

International Joint Usage / Research Center – RIMS

International Joint Usage / Research Center – RIMS

The SAMO conference is devoted to advances in research on sensitivity analysis methods and their interdisciplinary applications. The SAMO conferences are held every three years. The aim of the SAMO conferences is to bring together users of sensitivity analysis in all disciplines of science. Sensitivity analysis methods are powerful tools in physics, operations research, chemistry, biology, engineering, environmental science, nuclear and industrial safety, economics and finance.

Simulation,    Wissenschaftliches Rechnen

CIRM – Centre International de Rencontres Mathématiques

CONFERENCE

Lehigh University

Apart from informal presentations by conference participants, there will be plenary talks by Alexei Borodin, Jennifer Chayes, Tadahisa Funaki, Sarah Penington, and Makiko Sasada. The main conference will be held on March 17-19, 2022; on March 18, there will be a special set of tutorial lectures by Greg Lawler and others.

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

Kurse und Veranstaltungen für Studenten der Mathematik,    Angewandte Mathematik (allgem.)

International Joint Usage / Research Center – RIMS

Universität Hamburg in close cooperation with Universitätsklinikum Hamburg-Eppendorf and Helmut-Schmidt-Universität

Welcome to the DAGStat Conference 2022! The sixth conference of the Deutsche Arbeitsgemeinschaft Statistik will take place in Hamburg, from March 28 to April 1, 2022. The conference is hosted by the Universität Hamburg in close cooperation with Universitätsklinikum Hamburg-Eppendorf and Helmut-Schmidt-Universität. The conference is also the 68th Biometric Colloquium of the German Region of the International Biometric Society (IBS-DR) and the 45th annual conference of the Gesellschaft für Klassifikation (GfKl) – Data Science Society.

The Fields Institute

This conference will be held during April 4 - 7, 2022 to celebrate the 80th birthday of French probabilist Gérard Letac on January 6, 2020. Continuously active and publishing since his first paper appeared in 1964, Letac is now Professor Emeritus at the Institut de Mathématiques de Toulouse, Laboratoire de Statistique et Probabilités of the Université Paul Sabatier. He has authored five books and directed twenty-six PhD students.

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

University of Bristol, School of Mathematics

This is the third event of a series of conferences featuring talks by leading researchers in the three areas who are also capable of conveying their message to the audience coming from various regions of these fields. Beside the leading senior figures we also invite as speakers a smaller number of younger colleagues who have already shown their lion's claws.

Email: pad21-conference@bristol.ac.uk

Probability, Analysis, Dynamics

This conference is sponsored by the SIAM Activity Group on Uncertainty Quantification.

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

Kurse und Veranstaltungen für Studenten der Mathematik,    Graphentheorie und Kombinatorik

This is the meeting of the SIAM Activity Group on Data Mining and Analytics. This conference is held in cooperation with the American Statistical Association.

Informations & Wissensmanagement, Big Data Computing,    Datenbanktechlologie, Suchmaschinen und Data-Mining

Lake Como School of Advanced Studies

Robust statistics is at the forefront of statistical research, and a central topic in multidisciplinary science where mathematical ideas are used to model and understand the real world, without being affected by contamination that could occur in the data. Nowadays, with the increasing availability of Big data, robust statistical methods are crucially needed. The aim of this course is three-fold: present novel models to describe real-world phenomena, and their properties; study their behavior under different kinds of contamination; discuss their implementation through computational methods. The lectures are addressed to Master, PhD students and postdocs.

International School on Classification and Data Analysis

Wissenschaftliches Rechnen,    Angewandte Mathematik (allgem.)

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

Angewandte Mathematik (allgem.),    Akustik und Vibration

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

Kurse und Veranstaltungen für Studenten der Mathematik,    Optimierungsrechnung, Entscheidungsunterstützung

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

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

Kurse und Veranstaltungen für Studenten der Mathematik,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

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

Komplexe Systeme und Chaos ,    Angewandte Mathematik (allgem.)

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,

Verbandstreffen für Mathematiker,    Finanz und Wirtschaftswissenschaft

Institute of Mathematical Statistics

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

As of September 28, 2020, 33 million Covid-19 cases have been reported worldwide. With one million deaths attributed to the deadly infection, the pandemic has not only killed a huge number, but also caused worldwide economic disruption. In the process, it has exposed our inadequate preparation and our inability to act promptly and decisively in response to a rapidly spreading novel virus. With an objective to prepare for the next pandemic, the focus of the proposed workshop will be on the scientific questions that emerged during the current Covid-19 crisis. The overall theme of the workshop can be broadly categorized into three intertwined topics: 1) a mechanistic approach to understanding the complex dynamics of novel viruses such as the SARS-CoV-2; 2) parameter inference and proper uncertainty quantification; and 3) design of optimal intervention and policy. The workshop will bring together different communities and foster new interdisciplinary collaborations. Most importantly, the workshop aims to train a cohort of young and diverse group of researchers into responsible scientists who will be better prepared for the next pandemic.

The conference will bring forth recent advances and trends in several areas of nonparametric statistics, in order to facilitate the exchange of research ideas, promote collaboration among researchers from all over the world, and contribute to the further development of the field.

Lake Como School of Advanced Studies

Komplexe Systeme und Chaos ,    Kurse und Veranstaltungen für Studenten der Mathematik

Cornell University

Stochastic networks is a multifaceted area of research concerned with the modeling, stability, control, performance, approximation, and design of stochastic networks. It gives rise to challenging and subtle mathematical problems, whose solution often requires a combination of ideas and techniques from several branches of mathematics, including probability theory, stochastic processes, analysis, optimization, algorithms, combinatorics, and graph theory. Research in this area is strongly motivated by applications in diverse domains, ranging from the traditional areas of telecommunications and manufacturing to service operations, biological and social networks, revenue management, and health care. The series of conferences on Stochastic Networks, initiated in 1987 and now held biennially, is a major forum for researchers to learn of the latest developments and new research directions in stochastic networks.

International Society for Bayesian Analysis (ISBA)

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

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

Institute of Mathematical Statistics (IMS)

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

CIRM – Centre International de Rencontres Mathématiques

CONFERENCE

Institute of Mathematics & its Applications (IMA)

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

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

Instituto Politécnico de Tomar

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

Email: linstat@ipt.pt

estimation, prediction and testing in linear models, robustness of relevant statistical methods, estimation of variance components appearing in linear models, generalizations to nonlinear models, design and analysis of experiments, including optimality and comparison of linear experiments

Angewandte Mathematik (allgem.),    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.

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Optimierungsrechnung, Entscheidungsunterstützung

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.

Informationssicherheit und Datenschutz,    Netzgemeinschaften und Gesellschaftliche Aspekte der Informationstechnologie

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

Casa Matemática Oaxaca (CMO)

Lake Como School of Advanced Studies

Mustererkennung und Bildverarbeitung, Maschinelles Sehen,    Erdbeobachtung, GPS

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.

Optimierungsrechnung, Entscheidungsunterstützung,    Simulation

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

Kurse und Veranstaltungen für Studenten der Mathematik,    Graphentheorie und Kombinatorik

Kurse und Veranstaltungen für Studenten der Mathematik,    Wissenschaftliches Rechnen

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

CIRM – Centre International de Rencontres Mathématiques

CIRM – Centre International de Rencontres Mathématiques

Simulation,    Optimierungsrechnung, Entscheidungsunterstützung

Lake Como School of Advanced Studies

Simulation,    Kurse und Veranstaltungen für Studenten der Mathematik

CIRM – Centre International de Rencontres Mathématiques

Institut Henri Poincaré (IHP)

Geometrie und Topologie,    Wissenschaftliches Rechnen

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

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.

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,

Angewandte Mathematik (allgem.),    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

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)