Foundation for Open Access Statistics

April 23, 2013
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Foundation for Open Access Statistics

Now here’s a foundation I (Bob) can get behind: Foundation for Open Access Statistics (FOAS) Their mission is to “promote free software, open access publishing, and reproducible research in statistics.” To me, that’s like supporting motherhood and apple pie! FOAS spun out of and is partially designed to support the Journal of Statistical Software (aka [...]The post Foundation for Open Access Statistics appeared first on Statistical Modeling, Causal Inference, and…

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Bad normal approximation

April 23, 2013
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Sometimes you can approximate a binomial distribution with a normal distribution. Under the right conditions, a Binomial(n, p) has approximately the distribution of a normal with the same mean and variance, i.e. mean np and variance np(1-p). The approximation works…Read more ›

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TweetMap ALPHA: Querying a Massive Amount of Tweets on a Map

April 23, 2013
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TweetMap ALPHA: Querying a Massive Amount of Tweets on a Map

The impressive TweetMap ALPHA [harvard.edu], developed by Harvard University's Center for Geographic Analysis, is based on a dataset of about 95 million tweets, which can be dynamically queried by time, by location or by keyword. Tweetmap makes use o...

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Interview at Yale Center for Environmental Law & Policy

April 23, 2013
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Interview with Roger Peng from YCELP on Vimeo. A few weeks ago I sat down with Angel Hsu of the Yale Center for Environmental Law and Policy to talk about some of their work on air pollution indicators. (Note: I … Continue reading →

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Charles Murray’s “Coming Apart” and the measurement of social and political divisions

April 23, 2013
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Charles Murray’s “Coming Apart” and the measurement of social and political divisions

Following up on our blog discussions a year ago, I published a review of Charles Murray’s recent book, “Coming Apart,” for the journal Statistics, Politics, and Policy. I invited Murray to publish a response, and he did so. Here’s the abstract to my review: This article examines some claims made in a recent popular book [...]The post Charles Murray’s “Coming Apart” and the measurement of social and political divisions appeared…

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Spin, spin, spin away

April 23, 2013
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Spin, spin, spin away

From a purely graphical perspective, the following NYT chart (link) is well executed: Labeling is always a challenge with scatter plots. Here, they have 54 points, and the chart still doesn't look too crammed. I like the axis labels, and...

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Spin, spin, spin away

April 23, 2013
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Spin, spin, spin away

From a purely graphical perspective, the following NYT chart (link) is well executed: Labeling is always a challenge with scatter plots. Here, they have 54 points, and the chart still doesn't look too crammed. I like the axis labels, and...

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Russian dolls

April 23, 2013
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Russian dolls

This is a bit of a Russian doll situation, because I'm effectively pointing to another blog, which (kind of) points to this blog (and, who knows, may be this blog is somehow pointing to that other blog too... [To enjoy this fully, you should read ...

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Review: Kölner R Meeting 12 April 2013

April 23, 2013
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Review: Kölner R Meeting 12 April 2013

Our 5th Cologne R user group meeting was the best attended meeting so far, with 20 members finding their way to the Institute of Sociology for two talks by Diego de Castillo on shiny and Stephan Holtmeier on cluster analysis, followed by beer and schni...

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Derivative-free estimate of derivatives

April 23, 2013
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Derivative-free estimate of derivatives

Hey, Arnaud Doucet, Sylvain Rubenthaler and I have just put a technical report on arXiv about estimating the first- and second-order derivatives of the log-likelihood (also called the score and the observed information matrix respectively) in general (intractable) statistical models, and in particular in (non-linear non-Gaussian) state-space models. We call them “derivative-free” estimates because they […]

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Scripts and Functions: Using R to Implement the Golden Section Search Method for Numerical Optimization

Scripts and Functions: Using R to Implement the Golden Section Search Method for Numerical Optimization

In an earlier post, I introduced the golden section search method – a modification of the bisection method for numerical optimization that saves computation time by using the golden ratio to set its test points.  This post contains the R function that implements this method, the R functions that contain the 3 functions that were […]

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The Golden Section Search Method: Modifying the Bisection Method with the Golden Ratio for Numerical Optimization

The Golden Section Search Method: Modifying the Bisection Method with the Golden Ratio for Numerical Optimization

Introduction The first algorithm that I learned for root-finding in my undergraduate numerical analysis class (MACM 316 at Simon Fraser University) was the bisection method.  It’s very intuitive and easy to implement in any programming language (I was using MATLAB at the time).  The bisection method can be easily adapted for optimizing 1-dimensional functions with […]

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The Largest Web Page on the Internet: 7 Billion People on One Page

April 22, 2013
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The Largest Web Page on the Internet: 7 Billion People on One Page

7 Billion World [7billionworld.com] displays 7 billion people together on a single webpage. Developed by Worldometers - which themselves were originally posted in the good year of 2005 -, the web page itself is generated through some small programmin...

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Prime Explorer: Exploring Patterns in Prime Number Spatial Layouts

April 22, 2013
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Prime Explorer: Exploring Patterns in Prime Number Spatial Layouts

Prime Explorer [bigblueboo.com], developed by a San Francisco-based software company called Mode of Expression, provides an interactive view of all the prime numbers ranging from 1 to 62,500. Each prime number is represented by a bright, white squar...

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The Price is Right Problem

April 22, 2013
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The Price is Right Problem

This article is an excerpt from Think Bayes, a book I am working on.  The entire current draft is available from http://thinkbayes.com.  I welcome comments and suggestions.The Price is Right ProblemOn November 1, 2007, contestants named Letia...

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Statistics Sweden’s statistics are available for new services

April 22, 2013
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Statistics Sweden’s statistics are available for new services

From: http://www.scb.se/Pages/List____354067.aspxNow companies and private individuals have access to Statistics Sweden’s statistics, which can be used for new products and services. This involves data from the Statistical Database that can be digita...

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Goal: Rules for Turing chess

April 22, 2013
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Goal:  Rules for Turing chess

Daniel Murell has more thoughts on Turing chess (last discussed here): When I played with my brother, we had it that if you managed to lap someone while running around the house, then you got an additional move. This means that if you had the option to take the king on your additional move, you [...]The post Goal: Rules for Turing chess appeared first on Statistical Modeling, Causal Inference, and…

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Statistics as inverse probability

April 22, 2013
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Statistics is sometimes described as inverse probability. In a typical probability problem, one starts by positing that a certain quantity has some given probability distribution, say the number of people entering a bank branch follows a Poisson distribution, and then goes on to compute probabilities such as the chance that more than 100 people (max capacity) require service at the same time. In a typical statistical problem, one observes the…

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Confusing Stats Terms Explained: Heteroscedasticity (Heteroskedasticity)

April 22, 2013
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Confusing Stats Terms Explained: Heteroscedasticity (Heteroskedasticity)

Heteroscedasticity is a hard word to pronounce, but it doesn't need to be a difficult concept to understand. Put simply, heteroscedasticity (also spelled heteroskedasticity) refers to the circumstance in which the variability of a variable is unequal across the range of values of a second variable that predicts it. A scatterplot of these variables will often create a cone-like shape, as the scatter (or variability) of the dependent variable (DV)…

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Confusing Stats Terms Explained: Heteroscedasticity (Heteroskedasticity)

April 22, 2013
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Confusing Stats Terms Explained: Heteroscedasticity (Heteroskedasticity)

Heteroscedasticity is a hard word to pronounce, but it doesn't need to be a difficult concept to understand. Put simply, heteroscedasticity (also spelled heteroskedasticity) refers to the circumstance in which the variability of a variable is unequal a...

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How to overlay custom curves with PROC SGPLOT

April 22, 2013
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How to overlay custom curves with PROC SGPLOT

I recently showed someone a trick to create a graph, and he was extremely pleased to learn it. The trick is well known to many SAS users, but I hope that this article will introduce it to even more SAS users. At issue is how to use the SGPLOT procedure [...]

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garch and the distribution of returns

April 22, 2013
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garch and the distribution of returns

Using garch to learn a little about the distribution of returns. Previously There are posts on garch — in particular: A practical introduction to garch modeling The components garch model in the rugarch package garch and long tails There has also been discussion of the distribution of returns, including a satire called “The distribution of … Continue reading →

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Meet @InfoVis_Ebooks, Your Source for Random InfoVis Paper Snippets

April 22, 2013
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Are you looking for inspiration while writing a paper or grant? Do you feel that there is a lack of information visualization content on Twitter? Is your timeline too empty and slow? Follow @InfoVis_Ebooks, a Twitter account that posts random pieces of text from infovis papers. Related Work Accounts that tweet more or less random snippets of text have become a genre in themselves. If you’ve spent any time on Twitter, you’ve…

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