Conférences - Statistique, Théorie des jeux

We are a community-powered data platforms, engineering, science, and analytics event for software engineers, machine learning experts, deep learning researchers & artificial intelligence buffs who want to discover tools & insights to build new products.

Tél.: [9183894402];     Email.: pete.soderling@datacouncil.ai

data engineering, data science, software engineering

Conception et gestion des bases de données,    Algorithmes et code source ouvert

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

Algèbre,    Mécanique quantique et l'information quantique

The European Meeting of Statisticians (EMS) , sponsored by the European Regional Committee of the Bernoulli Society, is the main conference in statistics and probability in Europe. EMS is a conference where statisticians of all ages and from all regions meet to exchange ideas and talk about the newest developments

The ICoAIMS 2019: 2nd International Conference on Applied & Industrial Mathematics and Statistics 2019 with the theme IR 4.0 Through the Eyes of Mathematics aims to bring together leading academic, scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects related to Mathematics

Mathématiques appliquées (en général),    Réunions de corps professionnels en mathématiques

Society of Actuaries (SOA)

The Fourth WHOA-PSI will focus on emerging frontiers in post-selection inference, with particular emphasis on issues of accuracy, power and validity. More than 30 invited talks, and also Ph.D. student posters, will present recent advances in high-dimensional, selective, simultaneous, and Bayesian inference.

Lake Como School of Advanced Studies

Institute of Mathematics of National Academy of Sciences of the Republic of Armenia

The Institute of Mathematics of National Academy of Sciences of the Republic of Armenia has organized ten international conferences in Mathematical Physics with the first conference taking place in 1982 and the latest one in 2016 in Yerevan. Among the participants of previous conferences were many well-known scientists, such as Sergio Albeverio, Roland L. Dobrushin, Gianfausto Dell'Antonio, Vadim A. Malyshev, Robert A. Minlos, Salvador Miracle-Sole, Alexander Polyakov, Yakov G. Sinai, Anatoly Vershik and others.

Analyse,    Physique mathématique

Institute of Mathematics & its Applications (IMA)

An inverse problem refers to a situation where the quantity of interest cannot be measured directly, but only through an action of a nontrivial operator of which it is a parameter. The corresponding operator, also called forward operator, stems from a physical application modelling. Prominent examples include: Radon and Fourier transforms for X-ray CT and MRI, respectively or partial differential equations e.g. EIT or DOT.

The prevalent characteristics of inverse problems is their ill-posedness i.e. lack of uniqueness and/or stability of the solution. This situation is aggravated by the physical limitations of the measurement acquisition such as noise or incompleteness of the measurements. Inverse problems are ubiquitous in applications from bio-medical, science and engineering to security screening and industrial process monitoring. The challenges span from the analysis to efficient numerical solution. This conference will bring together mathematicians and statisticians, working on theoretical and numerical aspects of inverse problems, as well as engineers, physicists and other scientists, working on challenging inverse problem applications. We welcome industrial representatives, doctoral students, early career and established academics working in this field to attend.

Email.: conferences@ima.org.uk

Imaging, Inverse problems in partial differential equations (Memorial Lecture for Slava Kurylev), Model and data driven methods for inverse problems, Optimization and statistical learning, Statistical inverse problems

Réunions de corps professionnels en mathématiques,    Physique mathématique

American Academy of Actuaries

The annual European Safety and Reliability Conference (ESREL) is an international conference under the auspices of the European Safety and Reliability Association (ESRA). The objective of ESREL 2019 is to provide an all-round inspiring environment and a multi-disciplinary forum for the exchange of knowledge and expertise on theories and methods in the field of risk, safety and reliability, and on their application to a wide range of industrial, civil and social sectors and problem areas.

American Statistical Association

Pharmacologie et développement des médicaments,    Législation en médecine et pharmacologie

American Institute of Mathematics

This workshop, sponsored by AIM and the NSF, will be devoted to self-interacting processes and their interaction with supersymmetry, Bayesian statistics and de Finetti-type theorems.

Advances in statistical analysis of discrete data

In recent years, statistical models and techniques for discrete data analysis have advanced significantly in a wide range of research areas. Even when the phenomenon of interest is theoretically continuous, but its observed values are registered as discrete (just think of the lifetime of many devices in industry, when one observes the number of cycles completed before failure), it is more appropriate to adopt a discrete model derived as an analog of the hypothesized continuous distribution, preserving one or more of its features. This session is open to all contributions on statistical analysis of discrete data, with a particular focus on discrete counterparts of univariate and multivariate continuous distributions and their reliability and dependence properties.

deadline for submission of extended abstract, to be published in AIP (indexed in Scopus): 26 July 2019

links:

website: http://www.icnaam.org

abstract submission: http://www.icnaam.org/abstracts

deadlines: http://www.icnaam.org/dates

contact: alessandro dot barbiero at unimi dot it

probability, statistics, data mining, modeling and simulation, stochastic reliability

Mathématiques appliquées (en général),    Mathématiques appliquées: Mathématiques numériques

2nd Edition of the International Conference on Stochastic Processes and Algebraic Structures (SPAS 2019) - From Theory Towards Applications will take place in Västerås, Sweden, September 30 - October 2, 2019. Conference is organised by the Division of Applied Mathematics, Research environment MAM, Mälardalen University, Västerås, Sweden. The goal of this conference is to showcase the frontiers of research in several important topics of mathematics, mathematical statistics and its applications. The conference will be organised along the following three tracks: Stochastic Processes / Modern statistical methods in theory and practice, Algebraic Structures and applications, Engineering Mathematics.

Tél.: [0760779422];     Email.: milica.rancic@mdh.se

Stochastic Processes, Modern statistical methods, Algebraic Structures and applications, Engineering Mathematics

Mathématiques appliquées (en général),    Mathématiques appliquées: Mathématiques numériques

Centre International de Rencontres Mathématiques (CIRM)

This conference, on the interplay between PDEs and probability, and following a previous edition that took place at the CIRM in 2017, will focus on the study of such particle systems, with an emphasis on mean-fields models with singular interactions, such as the Boltzman, Landau and Keller-Segel equations, as well as systems of conservation laws, which arise as scaling limits of asymmetric particle systems under hyperbolic scaling.

Centre International de Rencontres Mathématiques (CIRM)

MULTIYEAR PROGRAM

Mathématiques appliquées: Cryptographie, blockchain et sécurité de l'information,    Sécurité des systèmes d'information et protection de données

Centre International de Rencontres Mathématiques (CIRM)

Sensors and data abound. This spatial and temporal information is supposed to allow a better management -- in new energy systems, transport or eco-industrial parks, to quote a few examples. This leads to problems of large-scale optimization, the formulation of which is delicate. Indeed, one needs to take into account at least three dimensions: temporal (stages of decision, dynamics, inertia), spatial (different decision units connected by flows), stochastic (various possible scenarios) and thus risk. This leads to multi-stage stochastic optimization problems which enter the class of large-scale systems.

INTERFACE PROGRAM (CIRM-INDUSTRY)

The aim of the workshop is to gather ongoing research on network models, algorithms and applications in the fields of Statistics, Economics, Finance, Political and Social Sciences. Topics are network models in international trade, finance, political systems, social actors, systemic stability, resilience and contagion effects, algorithms for clustering and community detection, centrality measures; new statistics for network analysis; network formation, game theory and network models. Due to the very interdisciplinary nature of the workshop, formal contributions should stress their applicability, while substantial findings should suggest new directions of formal research.

Network models, Communities detection, Dynamic networks, Centrality measures, Game theory

Mathématiques appliquées: Réseaux complexes,    Mathématiques appliquées: Finance et sciences économiques

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

The Congreso Latinoamericano de Probabilidad y Estadística Matemática (CLAPEM) is the official meeting of the Sociedad Latino Americana de Probabilidad y Estadística Matemática (SLAPEM), the Latin American Chapter of the Bernoulli Society.

Centre International de Rencontres Mathématiques (CIRM)

American Statistical Association

American Meteorological Society (AMS)

Kyoto University

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

Mathématiques appliquées: Réseaux de neurones et intelligence artificielle, apprentissage automatiqu,    Mathématiques appliquées: Reconnaissance de formes et traitement d'image, vision par ordinateur

Kyoto University/University of Tsukuba

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

Uncertainty quantification (UQ) is essential for producing informative computational predictions in a wide range of sciences and engineering. The field relies on a broad range of mathematical and statistical foundations, with associated algorithmic and computational developments. This conference will bring together mathematicians, statisticians, scientists, and engineers with an interest in the development and implementation of uncertainty quantification methods. Major conference themes will include the mathematical and statistical foundations of UQ, applications of UQ in the physical sciences and biosciences, and connections between UQ and machine learning. The goal of the meeting is to provide a forum to share ideas and enhance communication among this diverse group of technical experts, thereby contributing to future advances in the field.

Bernoulli Center (CIB)

Functional data such as space curves, images, and surfaces are seldom sensed directly; curves are often noisily and discretely sampled, images are subject to blurring and deformation, and surfaces are often obtained via indirect linear measurements. Understanding the generation of the observations then requires modelling the act of acquisition, and solving an inverse problem in order to arrive at statistical inferences. This leads to a host of new research questions, from identifiability to trade-offs between statistical optimality and computational feasibility, which also make contact with signal processing and numerical analysis.

Part of the Semester : Functional Data Analysis

The advancement in computing and storage capabilities of modern computational clusters fosters use of novel statistical techniques in machine learning and deep networks. Such data-driven techniques allow one to learn model features and characteristics that are difficult for mathematical methods alone to reveal. Many computational methods achieve model and complexity discovery using methods that lie at the nexus of mathematical, statistical, and computational disciplines. Statistical methods often employ "big data" approaches that glean predictive capability from diverse and enormous databases of information. Emerging methods in machine learning and deep networks can provide impressive results. This workshop gathers researchers at the frontier of large-scale statistical computation, data science, tensor decompositions and approximations, and data-driven model learning, to focus on modern challenges that use data to reduce complexity of models.

The Fields Institute

Institute for Mathematical Sciences/National University of Singapore

Random matrix theory is an active branch of probability. It has important applications in statistics, wireless communication and physics, and is closely related to other areas of mathematics, like representation theory, integrable systems, combinatorics, and complex analysis.

Mathématiques appliquées: Réseaux complexes,    Systèmes complexes et chaos

Bernoulli Center (CIB)

Topological and discrete data such as trees and networks constitute strongly non-Euclidean structures, often beyond the reach of traditional statistical tools. Their analysis is often challenged by computational tractability, as natural constraints such as permutation invariance are computationally hard to implement. Still, such data can be often transposed into more familiar contexts, whether by transformation, asymptotic arguments, or replicated observations. This workshop will explore both modelling and processing of discrete structures, also drawing in areas such as signal processing on graphs and nonparametrics.

Part of the Semester : Functional Data Analysis

American Statistical Association

ICES has been running for more than 20 years. Information about its origins and development was included in the introduction to the December 2014 special issue of the Journal of Official Statistics, which presented papers from ICES-IV.

Methods and Practices for Statistics on Businesses, Farms, and Institutions

Centre International de Rencontres Mathématiques (CIRM)

The International Statistical Ecology Conference is a biennial meeting of researchers at the interface between ecology and statistics. At ISEC2020 we are planning an exciting list of keynote speakers that bridge these two disciplines, as well as providing attendees with training opportunities

Mathématiques appliquées (en général),    Écosystèmes, environnement et développement durable

Bernoulli Center (CIB)

Important classes of functional data, such as random measures and random operators, are intrinsically constrained and need to be represented as elements of suitable non-Euclidean spaces, such as Hilbert manifolds. The interplay between the infinite dimensionality of their variation and the non-linearity of their representation space poses novel challenges for statistics, at the interface of several domains, such as shape analysis, stochastic geometry, manifold learning, and functional data analysis. This workshop will bring together experts from these fields to explore these novel challenges and future perspectives.

Part of the Semester : Functional Data Analysis

American Statistical Association

Centre International de Rencontres Mathématiques (CIRM)

Algèbre,    Analyse

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

Centre International de Rencontres Mathématiques (CIRM)

RESEARCH SCHOOL

Analyse,    Simulation

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.

Mathématiques appliquées: Reconnaissance de formes et traitement d'image, vision par ordinateur,    Mathématiques appliquées: Réseaux complexes

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

Analyse,    Mathématiques générales et evénement multidisciplinaires

American Statistical Association

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.

American Statistical Association

American Statistical Association

American Statistical Association

American Statistical Association