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  • 28 Nov 2017
    Tandy Warnow

    Computational phylogenetics for algorithms designers

    Phylogenetic trees and multiple sequence alignments are used in many biological analyses, including protein structure and function prediction, microbiome analysis, and the inference of human migrations. Yet, constructing these trees and alignments turns out to be much more difficult than expected on large datasets. Tandy Warnow explores these difficulties and how algorithm designers can best develop new methods to address these issues.

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  • 1 Sep 2017
    Trent Lalonde, Jamie Riggs

    To use, or not to use, ANOVA?

    What do you do when faced with analyzing student ratings from 1 to 5 for 3 instructors in 3 classes? Aside from questioning the validity of students assessing instructor capability other than for the income generated by high enrollments, and that this is but a toy example, many naive analysts turn to the well-known analysis […]

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  • 1 May 2017
    René L. Schilling

    Measure and Integration Theory: Easier than it Appears

    Measure and integration theory is an indispensable tool in mathematical analysis, probability theory, mathematical statistics and in many applications such as mathematical finance and actuarial studies. Sometimes it is taught at the end of one’s undergraduate studies, but it is more commonly found in the graduate curriculum – well after the theories which are based […]

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  • 1 May 2017
    Robert Harper

    What, if anything, is a programming paradigm?

    Everyone who writes about programming languages seeks to impose order on the chaos of extant languages. A common strategy is to borrow Thomas Kuhn’s concept of a scientific paradigm, itself a not uncontroversial attempt to explain the social processes of science in his famous book entitled The Structure of Scientific Revolutions (Kuhn, 1975). Following Kuhn, […]

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  • 4 Apr 2017
    Tore Schweder

    On priors and posteriors in statistical inference, Bayesian always and everywhere?

    Tore Schweder, co-author of Confidence, Likelihood, Probability, examines whether or not prior distribution is needed if it is not based on data.

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  • 4 Apr 2017
    Milan Vojnovic

    5 minutes with Milan Vojnovic

    An interview with 'Contest Theory' author Milan Vojnovic. His new books offers a comprehensive coverage of contest theory developed in the areas of economics, computer science and statistics.

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  • 4 Apr 2017
    Duncan Murdoch

    Drawing 3D graphics in R

    John Braun and Duncan Murdoch wrote A First Course in Statistical Programming with R in 2005 or so, and the graphics chapter concentrated on two-dimensional base graphics. This year they released a second edition and discuss other graphics systems. They mention rgl, a package for interactive 3D graphics, but don’t go into any detail (it’s hard to […]

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  • 4 Apr 2017
    Tarun Kumar Roy

    Pivotal Tools for Undertaking Research in Statistical Design

    Tarun Kumar Roy discusses how 'Statistical Survey Design and Evaluating Impact' addresses the two fundamental statistical designs, sample survey and experimental or evaluation designs.

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