Bayes’ Rule Says You’ll Attend This Talk
Wednesday, 8:00 PM
Statistics is hot lately, due in part to the easy availability of large data sets and the successes of people like Nate Silver. These aren’t your father’s statistics, however. A quiet revolution has swept through the field, shifting it from traditional frequentist methods toward a more Bayesian approach. This talk will discuss Bayes’ Theorem and show you how to do simple, back-of-the-envelope calculations to apply it to a wide variety of problems.
In addition, we’ll also talk about common errors non-experts make when dealing with statistical conclusions, ranging from small sample size issues to the use of arbitrary endpoints to the problem of overfitting and more.
About Kenneth Kousen
Ken Kousen is a technical trainer, software developer, and conference speaker specializing in Java and open source topics, including Android, Spring, Hibernate/JPA, Groovy, Grails, and Gradle. He is the author of the O’Reilly book “Gradle Recipes for Android” and the Manning book “Making Java Groovy”. He also has recorded several video courses for O’Reilly, including two on Android, three on Groovy, two on Gradle, and one on the Spring Framework.
In 2013 was awarded a JavaOne Rockstar award. His academic background include BS degrees in Mechanical Engineering and Mathematics from M.I.T., an MA and Ph.D. in Aerospace Engineering from Princeton, and an MS in Computer Science from R.P.I. He is currently President of Kousen IT, Inc., based in Connecticut.
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