Conferences and Meetings on Probability and Statistics, Game Theory

Finanz- und Versicherungsökonometrische Gesellschaft e.V./ Society for Financial and Insurance Econometrics

The 11th CEQURA Conference on Advances in Financial and Insurance Risk Management, organized by the Society for Financial and Insurance Econometrics, provides a platform for presenting and discussing current developments in research & industry and fosters the exchange between academics and practitioners in the risk management community. Both academics and practitioners are encouraged to participate. To present theoretical or applied research work, please submit an abstract (200–400 words) by July 13, 2020. Submissions in all areas of financial and insurance risk management are welcome.

Konferenzsekretariat;     Phone: [089 2180 3224];     Email: martina.brunner@stat. uni-muenchen.de

Digitalization in Finance and Insurance, Data Science in Finance and Insurance, Market, credit, operational, liquidity, and energy risk, Dependence modeling, Risk dynamics, Stress testing and scenario analysis, Systemic risk in banking and insurance, Regulation, Real- and financial-sector interactions

Mathematical Economics and Finance,    Economics

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

Centre International de Rencontres Mathématiques (CIRM)

RESEARCH SCHOOL

Analysis,    Modeling and Simulation

The Banff International Research Station will host the "Statistical Modeling for Large Complex Time Dependent Systems" workshop in the year 2020. This workshop will focus on recent developments and open problems involving the techniques of dimension reduction, dynamic networks, multi-scale modeling for nonlinear processes and count processes, and machine learning, with applications to fields such as climatology, disease mapping, social media behavior, ecology, measurement of small populations, and neuroscience.

CIRM – Centre International de Rencontres Mathématiques

The goal of this conference is to promote recent advances in Numerical Analysis related to Stochastic Partial Differential Equations and/or random processes and their applications. It covers various domains from simulation and analysis of numerical methods for PDE, SDE or SPDE, to propagation of uncertainty and the development of efficient simulation methods for random processes.

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

CIRM – Centre International de Rencontres Mathématiques

INTERFACE PROGRAM (CIRM-INDUSTRY)

Modeling and Simulation,    Applied Mathematics (in general)

ICERM

This workshop will focus on data analysis strategies for comparing model predictions to data. Special attention will be placed on comparing solutions to the Einstein field equations (as in workshops 2 and 3) with data collected from gravitational-wave or telescopes. The workshop will include (but will not be limited to) coverage of topics involving reduced-order models, surrogate models, machine learning, UQ, and Bayesian techniques.

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

Detection, Classification, Inference of Relativistic Objects

General Mathematical Research and Multidisciplinary Events,    Mathematical Physics

University of Luxembourg

The ERA Chair Team organises a Winter School on Mathematical Statistics from 7 to 11 December 2020 at the University of Luxembourg on Belval campus. This school is aimed at young researchers (PhD students and early postdocs) and practitioners alike and offers an excellent opportunity to learn about recent and important developments in mathematical statistics directly from leaders in their respective fields.

CIRM – Centre International de Rencontres Mathématiques

Center for Advanced Research for Applied Mathematics and Statistics, Manipal Academy of Higher Education, (MAHE)

Matrix Analysis, Projectors in Linear Models & Multivariate Analysis, Growth Curve Models, Linear Regression Models, Linear Statistical Inference, Modelling Covariance Structures, Multivariate and Mixed Linear Models, Statistics in Big Data Analysis.

Institute for Mathematical Sciences/National University of Singapore

The program aims at studying emerging questions on game theory and applications thereof. Some of the most relevant topics of investigation in game theory revolve around the idea of solution concept for a game, the complexity of its calculation, the ability of agents to learn it, its efficiency, and its nature when the game must satisfy some constraints, such as the ones imposed by an underlying network structure.

Pattern Recognition and Image Processing, Machine Vision,    Complex Networks

This workshop, sponsored by AIM and the NSF, aims to explore several problems at the interface of harmonic analysis and analytic number theory, with an eye to bringing both groups of researchers together to make progress in discrete restriction, arithmetic statistics, exponential sum estimates and discrete harmonic analysis by using tools from both fields.

Analysis,    Number Theory, Arithmetic

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

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 2021 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.

Courses and Events for Math Students and Early Career Researchers,    Astronomy, Astrophysics and Cosmology

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

The workshop will bring together some of the world's top experts and promising young researchers 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, sometimes 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 also to invite some of the most promising junior mathematicians.

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

Society for Industrial and Applied Mathematics (SIAM)

Data mining is the computational process for discovering valuable knowledge from data – the core of modern Data Science. It has enormous applications in numerous fields, including science, engineering, healthcare, business, and medicine. Typical datasets in these fields are large, complex, and often noisy. Extracting knowledge from these datasets requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms. These techniques in turn require implementations on high performance computational infrastructure that are carefully tuned for performance. Powerful visualization technologies along with effective user interfaces are also essential to make data mining tools appealing to researchers, analysts, data scientists and application developers from different disciplines, as well as usable by stakeholders.

This conference is held in cooperation with the American Statistical Association.

Information & Knowledge Management, Big Data Computing,    Search Engines and Data Mining

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, Dynamical systems

Analysis,    General Mathematical Research and Multidisciplinary Events

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

MRSI – Mathematical Sciences Research Institute, Berkeley | Centre de Recherches Mathematiques, Montreal

The courses in this summer school focus on mathematical models of group dynamics, how to describe their dynamics and their scaling limits, and the connection to discrete and continuous optimization problems.

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

Particle Physicists study matter at is smallest scale and try to reveal how the physical world is constructed from elementary particles and the forces acting between them. 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.

High Energy Physics, Particles and Fields,    Scientific Computing

Department of Mathematics & Statistics and the Department of Supply Chain & Business Technology Management of Concordia University in Montreal

In keeping with the long tradition of previous decennial conferences (starting in 1971), this convention is dedicated to all areas of statistical sciences. In addition to the traditional theoretical/applied areas, interdisciplinary research would be encouraged and promoted including major theme areas Applied Statistics, Big Data, Bioinformatics, Biostatistics, Computational Statistics, Data Mining, Data Science, Demography, Econometrics, Health Statistics, Model Selection and Validation, Social Statistics, Supply Chain, Survival Analysis, Stochastic Methods in Ecology, Finance and Engineering.

University of Luxembourg

The aim of the conference ICON STARF is to bring together young researchers and renowned experts in mathematical statistics, signal processing, statistical learning, probability, approximation theory, and all other areas that contribute to the mathematical development of data science. We shall allow time for discussion and stimulate scientific collaboration and exchange among participants. A low registration fee will enable PhD students, post-docs and young researchers to participate in the conference. ICON STARF is part of the SanDAL programme of the ERA Chair which has been awarded to the University of Luxembourg by the European Horizon 2020 initiative.

Applied Mathematics (in general),    Scientific Computing

University of California-Santa Cruz, California

American Statistical Association

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

The systematic study of random graphs commenced with the seminal work of Erd" os and Renyi in the 1960s. Beyond the classical connections and synergies between random graphs and computer science, over the last few years a new exciting connection between random graphs and statistical inference has been discovered. These connections have led to important new insights on computational problems and statistical inference problems and to new methods for the analysis of random graphs or random discrete structures in general. In addition, since the late 1990s an insightful approach called the cavity method by physicists has been applied to put forward predictions on structural properties of random graphs and their phase transitions. More recently, it has inspired new algorithms for statistical inference problems such as message passing algorithms and novel spectral algorithms. With this workshop we hope to stimulate research and foster new exciting interdisciplinary collaborations between researchers with different backgrounds and expertise in random graphs, computer science, probability, statistics, statistical inference and information theory.

Courses and Events for Math Students and Early Career Researchers,    Graph Theory and Combinatorics

CIRM – Centre International de Rencontres Mathématiques

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

Advances in data collection and social media have led to network and graph data becoming available in many areas, including social sciences, biological sciences, and engineering. Understanding and modeling network structure, as well as conducting rigorous statistical inference to assess uncertainty, can provide crucial insights into the dynamics and interaction mechanisms of the system. Statistical network analysis to date has largely focused on the setting where a single network is observed as a noisy version of some underlying structure of interest. This setting in itself is challenging, requiring adaptation of existing statistical frameworks to networks and bridging the gap between theoretically optimal performance and computational feasibility. The workshop will start by covering recent advances in this setting.

Courses and Events for Math Students and Early Career Researchers,    Graph Theory and Combinatorics

Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Canada

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 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.

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

Since 1978, the ANS biennial international conference on Probabilistic Safety Assessment and Analysis has been a forum for communication of major probabilistic risk and safety topics worldwide, including issues, methods, applications, insights, policy, research, and risk-informed regulation experience.

CIRM – Centre International de Rencontres Mathématiques

Neural Networks and Artificial Intelligence, Machine Learning,    Algorithms

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

CIRM – Centre International de Rencontres Mathématiques

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

Nonlinear inverse problems are ubiquitous in medical sciences, engineering, physics and other natural sciences. This workshop will advance a statistical paradigm that allows underpinning statistical decision making in such problems in a scientifically rigorous way. This will be achieved by providing `frequentist' large sample guarantees for inferences arising from commonly used (Bayesian or non-Bayesian) algorithms in such problems. Thereby, a large cluster of applied problems, where algorithms are used for day-to-day decision making with statistical data, will be put on a solid and robust foundation, facilitating its confident use in modern society.

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

Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Canada

The aim of this workshop is to bring together researchers working on objective Bayesian methodology, nonparametric Bayesian methods and machine learning. Objective Bayesian methods are evolving from a historically narrower focus on issues related to prior specification to research themes that are more broadly related to default methods in Bayesian statistical analysis. This naturally leads to an increasing overlap with Bayesian nonparametric modeling and machine learning. The workshop seeks to exploit this increasing intersection by bringing together participants from all three research communities.

Courses and Events for Math Students and Early Career Researchers,    Software Agents and Intelligent Agents in Artificial Intelligence

CIRM – Centre International de Rencontres Mathématiques

CIRM – Centre International de Rencontres Mathématiques

CONFERENCE

CIRM – Centre International de Rencontres Mathématiques

CONFERENCE

CIRM – Centre International de Rencontres Mathématiques

CONFERENCE

CIRM – Centre International de Rencontres Mathématiques

CONFERENCE

American Statistical Association

American Statistical Association

American Statistical Association

American Statistical Association