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MacDATA Graduate Fellowship

The advent of large collection of data and ensuing development in data analysis techniques has made collaboration between data scientists and content experts necessary for cutting-edge research. Furthermore, there is a need for trainees to be exposed to both aspects of such research, namely for data science trainees to learn about real life practical projects […]

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MacDATA Seminar: Discovering Structure in Multiple Outcomes Models for Environmental Exposure Effects by Dr. Tanzy Love

April 23rd 2019 L.R. Wilson Hall 1003 3:00pm to 4:30pm Bayesian model-based clustering provides a powerful and flexible tool that can be incorporated into regression models to explore several different questions related to the grouping of observations. In our application, we explore the effects of prenatal methylmercury exposure on childhood neurodevelopment. Rather than cluster individual […]

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MacDATA Summer School in Data Science

MacDATA Summer School in Data Science May 27-31, 2019 Organizers: Antoine Deza and Paul McNicholas Location: HSC 1A1 Instructors: Antoine Deza, Claudia Emerson, Andrew McArthur, Paul McNicholas, Reza Samavi, Peter Tait, Yang Tang, Kara Tsang, Mike Veall, and Manaf Zargoush Important information: * For currently enrolled McMaster graduate students, postdoctoral fellows, and research associates only. […]

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MacDATA Seminar: The Inmate Assignment and Scheduling Problem and its Application in the PA Department of Corrections by Dr. Tamas Terlaky

October 22nd,2018 4:30pm to 6:30pm L.R. Wilson Hall (LRW) 1003 The inmate assignment project is a highly successful prescriptive analytics project. It was conducted in close collaboration with the PA Dept. of Corrections, took five years from start to successful implementation. Our novel Inmate Assignment Decision Support System (IADSS) is designed with the main goal […]

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MacDATA Seminar: Spatial Patterns of Mortality in the United States: A Spatial Filtering Approach by Dr. Petar Jevtic

February 28th, 2019 2:15pm to 3:45pm L. R. Wilson Hall (LRW) 1003 Within the field of spatial analysis, filtering has emerged as a powerful modeling technique to retrieve systematic patterns of geographical variation. In this work, spatial filtering is introduced in the context of modeling mortality for the first time in actuarial literature. Specifically, the […]

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MacDATA Seminar: Clustering, Classification, and Data Science by Dr. Paul McNicholas

Thursday November 22, 2018 3:30pm-5:30pm L.R. Wilson Hall 1003 An overview of clustering and classification, and where they fit within data science and statistics, will be presented. A statistical, model-based, framework for clustering and classification will be discussed. Several real data examples will be used to illustrate different approaches and/or subtleties, including high-dimensional data, three-way data, […]

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