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June 2017

3rd UCL Workshop on the Theory of Big Data

June 26 - June 28
University College London, 30 Guildford Street
London, WC1N 1EH United Kingdom
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The aim of this workshop is to gather experts who develop theory and methodology for big data sets; i.e. scientists who construct new algorithms, but also develop theoretical understanding as to the analysis techniques that are optimal or preferable in different sampling scenarios. The workshop will feature research into computational and statistical efficiency trade-offs, high-dimensional dependency structures (such as spatiotemporal models), as well as high-dimensional estimation and learning, and privacy-preserving algorithms.

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July 2017

International Conference on Robust Statistics 2017

July 3 - July 7
University of Wollongong, Northfields Ave
Wollongong, New South Wales NSW 2522 Australia
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The International Conference on Robust Statistics (ICORS) has been an annual international conference since 2001. The aim of the conferences is to bring together researchers and practitioners interested in robust statistics, data analysis and related areas. This includes theoretical and applied statisticians as well as data analysts from other fields, and leading experts as well as junior researchers and graduate students.

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Vancouver Sports Analytics Hackathon and Symposium

July 8 - July 9
Harbour Centre, 555 West Hastings Street
Vancouver, British Columbia V6B 4N4 Canada
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Statisticians and sports analysts play a key role in helping organizations reach their highest potential. Many events within the field are currently geared towards industry members and the dissemination of information between these industry partners. This event creates an avenue for students to gain the proper knowledge and experience, and to help them transition into industry in this growing field. We aim to give participants the vision, skills and inspiration to involve themselves further in statistics and sports analytics. Through…

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Challenges in the Statistical Modeling of Stochastic Processes for the Natural Sciences (17w5107)

July 9 - August 14
TransCanada Pipelines Pavilion, St Julien Rd, Banff
Banff, Alberta AB T1L Canada
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In recent years there have been a number of statistics workshops focused on a particular application area in the Natural Sciences. Here is a small sampling: Frontiers in the Detection and Attribution of Climate Change (BIRS, May 2012); The role of oceans in climate uncertainty (BIRS, Oct 2013); Big Data in Environmental Science workshop (University of British Columbia, Canada, May 2015); Spatially-varying stochastic differential equations with application to the biological sciences (Math Biosciences Institute workshop, Columbus, Ohio, Jul 2015); Program…

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Joint Statistical Meetings

July 29 - August 3
Baltimore Convention Center, One West Pratt Street
Baltimore, MD MD 21201 United States
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The Joint Statistical Meetings (JSM) is the largest gathering of statisticians held in North America. 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) are able to learn from and interact with senior members…

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2017 Graduate Mathematical Modelling in Industry Workshop

July 31 - August 5
University of Manitoba, 66 Chancellors Cir
Winnipeg, MB R3T 2N2 Canada
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This workshop is designed to provide graduate students and qualified advanced undergraduates with first-hand experience in industrial research in the mathematical sciences. It will focus on team work to tackle specific projects in mathematical and statistical modelling of industrial processes, with an emphasis on the development of young researchers.

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August 2017

Latest Advances in the Theory and Applications of Design and Analysis of Experiments (17w5007)

August 6 - August 11
TransCanada Pipelines Pavilion, St Julien Rd, Banff
Banff, Alberta AB T1L Canada
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Experimental costs are rapidly rising and research questions must be answered using appropriate statistical techniques to draw the most accurate inference. Design issues are extremely important because a poorly designed study cannot provide valid inferences for the scientific questions of interest or answer these questions with credibility. Every scientific study should therefore be carefully designed by using minimal resources for maximum gain. While great advances in solving statistical estimation problems are continually made, research in design technology has relatively lagged.…

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Conference on Frontiers of Big Data and Statistical Sciences

August 18 - August 20
Vancouver, British Columbia Canada + Google Map
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ICSA-Canada Chapter 2017 Symposium

August 18 - August 20
Hyatt Regency Hotel, Vancouver, 655 Burrard Street
Vancouver, British Columbia V6C 2R7 Canada
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Frontiers of Big Data and Statistical Sciences

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Environmental Risk Modeling and Extreme Events

August 28 - August 31
Centre de recherches mathématiques, 2920 Chemin de la tour, Room 5357
Montréal, QC H3T 1J4 Canada
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Part of the thematic semester: Risk in Complex Systems Global change and rising pressure on the natural environment are having increasingly visible impacts on the sustainability of human activities. Events such as heat waves that were formerly very rare arebecoming more common. Droughts and major windstorms are perceived to be increasing in frequency. It is essential to be able to forecast the likely size and impacts of such events if we are to adapt to them and attempt to mitigate…

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September 2017

Risk Measurement and Regulatory Issues in Business

September 11 - September 14
Centre de recherches mathématiques, 2920 Chemin de la tour, Room 5357
Montréal, QC H3T 1J4 Canada
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Part of the thematic semester: Risk in Complex Systems In banking and insurance, risk assessment is a major concern for managers and regulators. The computation of solvency requirements within regulatory frameworks such as Basel III and Solvency II requires accurate modeling of the risks inherent to high-dimensional portfolios. Financial institutions are exposed to many sources of risk which are hard to model. The uncertainty inherent to these models gives rise to regulatory arbitrage, robustness, and back-testing issues in risk measurement…

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Measurement and Control of Systemic Risk

September 25 - September 28
Centre de recherches mathématiques, 2920 Chemin de la tour, Room 5357
Montréal, QC H3T 1J4 Canada
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Part of the thematic semester: Risk in Complex Systems Systemic risk is the risk of collapse of an entire financial system or entire market — as opposed to risk associated with any individual entity, group or component of the system. Systemic risk may arise from common risk exposures, counterparty risk, balance sheet contagion, fire sales or other contagion mechanisms. This workshop will provide a forum for the exchange of ideas on state-of-the-art theoretical approaches and operational techniques for modeling, measuring…

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October 2017

Dependence Modeling Tools for Risk Management

October 2 - October 5
Université de Montréal, Pavillon André-Aisenstadt 2920, Chemin de la tour, 5th floor
Montreal, Quebec H3T 1J4 Canada
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Part of the thematic semester: Risk in Complex Systems Modeling dependent risks has become a central topic in quantitative risk management. The need for advanced dependence modeling arises in a variety of fields, including the environmental sciences, finance, insurance, and the health sciences. This workshop will address various challenges associated with dependence modeling. Several current issues will be considered, including the construction of stochastic models and the development of inference procedures adapted to specific contexts involving complex data or large…

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ASA Symposium on Statistical Inference

October 11 - October 13
Hyatt Regency Bethesda, One Bethesda Metro Center (7400 Wisconsin Avenue)
Bethesda, MD MD, 20814 United States
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This symposium follows up on the historic ASA "Statement on P-Values and Statistical Significance". Although the problems identified in the statement have been known for several decades, previous expressions of concern and calls for action have not fostered broad improvements in practice. Recognizing this failure and seeking to move beyond the “Don’ts” highlighted by the ASA statement—the inappropriate interpretations and uses of p-values and significance tests—the Symposium on Statistical Inference will focus attention on the “Do’s.” Discussions will center on…

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2017 Women in Statistics and Data Science Conference

October 19 - October 21
Hyatt Regency La Jolla, 3777 La Jolla Village Drive
San Diego, CA 92122 United States
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The 2017 Women in Statistics and Data Science Conference in La Jolla, California, aims to bring together hundreds of statistical practitioners and data scientists to “Share WISDOM (Women In Statistics, Data science, and -OMics).” WSDS2017 will highlight the achievements and career interests of women in statistics and data science. Senior, mid-level, and junior stars representing industrial, academic, and government communities will unite to present their life’s work and share their perspectives on the role of women in today’s statistics and…

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November 2017

Forest and Wildland Fire Management: a Risk Management Perspective (17w5145)

November 5 - November 10
Banff International Research Station (BIRS), The Banff Centre, Corbett Hall, 107 Tunnel Mountain Drive
Banff, AB T1L 1H5 Canada
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The objective of the workshop is to bring together researchers and end-users from a variety of disciplines (e.g., operations research, statistics, actuarial science, mathematics, computer science, forestry and the environmental and health sciences) to provide a forum to discuss fire management needs and to initiate interdisciplinary team-based collaborations aimed at addressing important problems in forest fire management.

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December 2017

Inferential Challenges for Large Spatio-Temporal Data Structures (17w5153)

December 3 - December 8
Banff International Research Station (BIRS), The Banff Centre, Corbett Hall, 107 Tunnel Mountain Drive
Banff, AB T1L 1H5 Canada
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A range of inference methodologies are in use for spatio-temporal data, and the complexity and nature of each problem dictates the nature of the methodology used. The high dimensionality of spatio-temporal data often means inference methodologies exhibit a combination of model simplifications, approximations of estimators and likelihood functions, and/or computational and algorithmic efficiencies. Unlike many other ‘big data’ problems, however, an understanding of the physical properties of the spatio-temporal process in question often enables many simplifying assumptions to be made…

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Risk Modeling, Management and Mitigation in Health Sciences

December 11 - December 13
Centre de recherches mathématiques, 2920 Chemin de la tour, Room 5357
Montréal, QC H3T 1J4 Canada
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Part of the thematic semester: Risk in Complex Systems Risk analysis is a critical part of the design, implementation and assessment of medical research and healthcare provision and development. It plays an active role from the design of clinical trials in drug development through to post-marketing surveillance of outcomes, and to the assessment of risk to health from environmental, occupational and individual-specific factors. The workshop will address aspects of quantification and mitigation of risk in health sciences. Different themes will…

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January 2018

Workshop on the Interface of Machine Learning and Statistical Inference (18w5054)

January 14, 2018 - January 19, 2018
Banff International Research Station (BIRS), The Banff Centre, Corbett Hall, 107 Tunnel Mountain Drive
Banff, AB T1L 1H5 Canada
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In the past few decades, the field of Machine Learning (ML) has produced highly successful methods to obtain prediction functions from large data bases. Methods such as neural networks, random forests and support vector machines have enjoyed a great deal of empirical success at tasks ranging from handwriting recognition to predicting movie preferences to classifying astronomical signals. The intention of this workshop is to bring together Computer Scientists, Statisticians and Mathematicians working at the interface of Machine Learning and formalized statistical…

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DM-Stat: Statistical Challenges in the Search for Dark Matter (18w5095)

January 25, 2018 - January 27, 2018
Banff International Research Station (BIRS), The Banff Centre, Corbett Hall, 107 Tunnel Mountain Drive
Banff, AB T1L 1H5 Canada
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The overarching objective of the DM-Stat workshop is to bring expert statisticians in techniques which may help or accelerate the eventual discovery of particle DM, together with leading physicists in areas relevant to the discovery of dark matter and its particle properties. The goal is to proceed via a set of distinct objectives: 1) Begin effective collaboration between the DM and astrostatistics communities; 2) Single out problems in the search for dark matter which can be effectively tackled with advanced…

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Shape-Constrained Methods: Inference, Applications, and Practice (18w5112)

January 28, 2018 - February 2, 2018
Banff International Research Station (BIRS), The Banff Centre, Corbett Hall, 107 Tunnel Mountain Drive
Banff, AB T1L 1H5 Canada
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This workshop will be structured around four main areas: (i) recent developments in shape-constrained estimation; (ii) application in econometrics, operations research machine learning and other fields; (iii) advances in optimization and computation, and (iv) future directions. A final day will be reserved for round-table discussions of important future problems in the field. The intention is to discuss statistical and methodological issues as a means to bring out commonalities in problems across these diverse disciplines and facilitate further cross-disciplinary collaboration. In…

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March 2018

Distributionally Robust Optimization (18w5102)

March 4, 2018 - March 9, 2018
TransCanada Pipelines Pavilion, St Julien Rd, Banff
Banff, Alberta AB T1L Canada
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The proposed workshop aims to advance distributionally robust optimization (DRO) as a dominant modeling paradigm for optimization under uncertainty and to lay the foundations for industry-size applications. To this end, we plan to bring together the leading researchers in DRO, as well as closely related fields such as stochastic and dynamic programming as well as (parts of) machine learning. We believe that the research in this area is extremely vibrant and that such a workshop would provide an opportunity to…

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Bayes Comp 2018

March 26, 2018 - March 29, 2018
Ciutadella Campus of UPF, Carrer de Ramon Trias Fargas, 25-27
Barcelona, Barcelona Spain
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Bayes Comp 2018 is a biannual conference sponsored by the ISBA section of the same name. The conference and the section both aim to promote original research into computational methods for inference and decision making and to encourage the use of frontier computational tools among practitioners, the development of adapted software, languages, platforms, and dedicated machines, and to translate and disseminate methods developed in other disciplines among statisticians. Bayes Comp 2018 is current incarnation of the popular MCMSki series of…

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April 2018

Numerical Analysis and Approximation Theory meets Data Science (18w5172)

April 22, 2018 - April 27, 2018
Banff International Research Station (BIRS), The Banff Centre, Corbett Hall, 107 Tunnel Mountain Drive
Banff, AB T1L 1H5 Canada
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To enable an atmosphere comprising of senior international experts and early career scientists at the intersection of numerical analysis, approximation theory and data science. The primary theoretical areas presented will involve recovery of smooth multidimensional functions, classification and segmentation methods, as well as inverse problems and imaging, with applications to neutron, tomographic and magnetic resonance image reconstruction, uncertainty quantification (UQ), as well as optimal control and parameter identification. As such, this workshop will facilitate the development of new mathematical tools…

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Mathematical Foundations of Data Privacy (18w5189)

April 29, 2018 - May 4, 2018
Banff International Research Station (BIRS), The Banff Centre, Corbett Hall, 107 Tunnel Mountain Drive
Banff, AB T1L 1H5 Canada
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There is now a rich theory (and a burgeoning practice) of differential privacy, which has drawn in ideas and researchers from a broad spectrum of mathematical disciplines, including cryptography, statistics, learning theory, convex geometry, and information theory. This event will highlight several research directions that have recently seen rapid progress.

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June 2018

2018 CANSSI Annual Meeting

June 2, 2018
McGill University, 845 Rue Sherbrooke O
Montreal, QC H3A 0G4 Canada
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This year’s annual meeting including a scientific planning session will take place on Saturday, June 2, 2018, a day before the start of the SSC Annual Meetings begins. The meetings will take place at McGill University in Montreal.

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July 2018

XXIX International Biometric Conference

July 8, 2018 - July 13, 2018
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August 2018

New Statistical Methods for Family-Based Sequencing Studies (18w5154)

August 5, 2018 - August 10, 2018
Banff International Research Station (BIRS), The Banff Centre, Corbett Hall, 107 Tunnel Mountain Drive
Banff, AB T1L 1H5 Canada
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The advent of high-throughput DNA sequencing has opened the possibility of detecting rare genetic variants that may be involved in complex diseases. To establish involvement of rare variants in complex traits, family samples are better suited than samples of unrelated subjects because, in a family, multiple affected members are more likely than unrelated affected individuals to carry the same rare variant from the basic principles of inheritance. A common need in these settings is to account for various forms of…

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November 2018

Mathematical and Statistical Challenges in Bridging Model Development, Parameter Identification and Model Selection in the Biological Sciences (18w5144)

November 11, 2018 - November 16, 2018
Banff International Research Station (BIRS), The Banff Centre, Corbett Hall, 107 Tunnel Mountain Drive
Banff, AB T1L 1H5 Canada
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Novel mathematical, statistical and computational tools are required to enable models to be developed, parameterised and validated as part of the predict-test-refine-predict cycle essential within biology. The overarching goal of the proposed workshop is to work towards developing the mathematical, statistical and computational tools needed for a standardised pipeline that integrates multiplex, multi-scale quantitative biological data and mathematical and computational modelling.

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