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Currently v1.0.0. The Instability of Forward and Backward Selection. Classical statistics often assumes that the analyst knows which variables are important and which variables are not. Of course, this is a strong assumption, and therefore many variable selection procedures have been developed to address this problem. In this blog post, I want to focus on two subset selection methods, and I want to address their instability. In other words, I want to discuss how small changes. This book explains the diff...

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Currently v1.0.0. The Instability of Forward and Backward Selection. Classical statistics often assumes that the analyst knows which variables are important and which variables are not. Of course, this is a strong assumption, and therefore many variable selection procedures have been developed to address this problem. In this blog post, I want to focus on two subset selection methods, and I want to address their instability. In other words, I want to discuss how small changes. This book explains the diff...

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Home · MTurgeon | turgeonmaxime.github.io Reviews

https://turgeonmaxime.github.io

Currently v1.0.0. The Instability of Forward and Backward Selection. Classical statistics often assumes that the analyst knows which variables are important and which variables are not. Of course, this is a strong assumption, and therefore many variable selection procedures have been developed to address this problem. In this blog post, I want to focus on two subset selection methods, and I want to address their instability. In other words, I want to discuss how small changes. This book explains the diff...

INTERNAL PAGES

turgeonmaxime.github.io

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By how much will Clinton win? · MTurgeon

http://turgeonmaxime.github.io/democratic-primary

Currently v1.0.0. By how much will Clinton win? I recently came across this interesting article. From the Washington Post, claiming that demographics can not only predict the winner of each Democratic primary, but also the. I reproduce their main figure below:. Therefore, the next best thing is to look at exit polls from the 2008 democratic presidential primary and use this data to predict the results of tonight’s primaries: Michigan and Mississippi. I took the results from the exit polls conducted by ABC.

2

The Instability of Forward and Backward Selection · MTurgeon

http://turgeonmaxime.github.io/forward-backward-selection

Currently v1.0.0. The Instability of Forward and Backward Selection. Classical statistics often assumes that the analyst knows which variables are important and which variables are not. Of course, this is a strong assumption, and therefore many variable selection procedures have been developed to address this problem. In this blog post, I want to focus on two subset selection methods, and I want to address their instability. In other words, I want to discuss how small changes. By subset selection methods...

3

Oscar 2016 predictions · MTurgeon

http://turgeonmaxime.github.io/oscar-predictions-2016

Currently v1.0.0. This year, I decided to repeat the experience again, especially since the Best Picture category is more competitive this year than last year. I have shared my predictions below, for all categories; however, I have used a statistical model only for the four categories mentionned above. All other categories are based on my own judgement (and readings I have done). My predictions are in bold font. Well, I didn’t do as well as I would have liked: 14/24. The Big Short (10.87%). Best supporti...

4

Archive · MTurgeon

http://turgeonmaxime.github.io/archive

Currently v1.0.0. 12 Feb 2017 Oscar 2017 predictions. 20 Jan 2017 US Presidential Inaugural Addresses. 29 May 2016 The Instability of Forward and Backward Selection. 08 Apr 2016 Removing all R CMD check warnings. 08 Mar 2016 By how much will Clinton win? 07 Feb 2016 Oscar 2016 predictions. 07 Dec 2015 Makefile and Beamer presentations. 11 Sep 2015 Tutorial: Optimising R code. 10 Sep 2015 Test case: Optimising PCEV. 14 Aug 2015 Using MathJax. 06 Aug 2015 Principal components of explained variance.

5

Makefile and Beamer presentations · MTurgeon

http://turgeonmaxime.github.io/makefile-beamer

Currently v1.0.0. Makefile and Beamer presentations. I have been wondering about Makefiles for some time now, and recently I finally got around learning about them so that I could use. To regenerate all the different versions of a manuscript I’m working on. And I thought I would take the opportunity to explain how they can be useful for Beamer presentations. Now, the question is, how do I generate these two files from the same presentation? There is a few possibilities that come to mind:. A set of instru...

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sahirbhatnagar.com

Software ·

http://sahirbhatnagar.com/software

Sahir Bhatnagar. Powered by jekyll. Fragment lengths or molecular weights from pairs of lanes are compared, and a number of matching bands are calculated using the Align-and-Count Method.

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turgeonmaxime.github.io

Home · MTurgeon

Currently v1.0.0. The Instability of Forward and Backward Selection. Classical statistics often assumes that the analyst knows which variables are important and which variables are not. Of course, this is a strong assumption, and therefore many variable selection procedures have been developed to address this problem. In this blog post, I want to focus on two subset selection methods, and I want to address their instability. In other words, I want to discuss how small changes. This book explains the diff...

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