Mother Nature makes fools of Statisticians

October 28, 2013
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The most dispiriting thing I’ve read in a while was this post by John Cook involving coin flips. The discussants are certain they have all the puzzle pieces and all that remains is to arrange them with the right prose. There’s not even a hi...

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Simply Statistics Future of Statistics Speakers – Two Truths, One Lie #futureofstats

October 28, 2013
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Our online conference live-streamed on Youtube is going to happen on October 30th 12PM-1PM Baltimore (UTC-4:00) time. You can find more information here or sign up for email alerts here. I get bored with the usual speaker bios at conferences so I … Continue reading →

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Writing for free

October 28, 2013
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Max Read points to discussions by Cord Jefferson and Tim Krieger about people who write for free, thus depressing the wages of paid journalists. The topic interests me because I’m one of those people who writes for free, all the time. As a commenter wrote in response to Cord Jefferson’s article: It’s not just people […]The post Writing for free appeared first on Statistical Modeling, Causal Inference, and Social Science.

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Analysis of #ASHG2013 Tweets

October 28, 2013
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Analysis of #ASHG2013 Tweets

I archived and anlayzed all Tweets with the hashtag #ASHG2013 using my previously mentioned code.Number of Tweets by date shows Wednesday was the most Tweeted day:The top used hashtags other than #ASHG2013:The most prolific users:And what Twitter analy...

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Light entertainment: bold paint flowing down

October 28, 2013
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Light entertainment: bold paint flowing down

Oh, Andrew Sullivan selected this as Chart of the Day a few weeks ago (link): Too bad the content was good.

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How to order categories in a two-way table with PROC FREQ

October 28, 2013
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How to order categories in a two-way table with PROC FREQ

If you've ever tried to use PROC FREQ to create a frequency table of two character variables, you know that by default the categories for each variable are displayed in alphabetical order. A different order is sometimes more useful. For example, consider the following two-way table for the smoking status [...]

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De la significativité (statistique), suite

October 28, 2013
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De la significativité (statistique), suite

Suite à mon rapide billet sur l’article donnant les conclusions d’une étude des effets de la e-cigarette (et la comparaison avec le patch pour arrêter de fumer), j’avais entendu cette phrase “ça veut dire quoi ‘statistiquement non significatif’ ?“. Comme c’est une très bonne question, qui plus est relativement complexe, j’ai pris un peu de temps pour y répondre… Il ne s’agit pas de complexité mathématique, en s’entend car tous…

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Report from IEEE VIS 2013 in Atlanta, GA

October 28, 2013
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Report from IEEE VIS 2013 in Atlanta, GA

There were parties, papers, and presentations. The keynote involved ramen, the capstone cited Rams. Lies were told, we watched stories unfold, and stacked bars of gold. The first IEEE VIS took place inside a giant alien, and the dinosaurs were particularly memorable. This was technically the first IEEE VIS, though the conference has been around for […]

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DIY Kruschke Style Diagrams

October 27, 2013
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DIY Kruschke Style Diagrams

I argued recently that a good way of communicating statistical models graphically was by using the convention devised by John K. Kruschke in his book Doing Bayesian Data Analysis. John Kruschke describes these diagrams in more detail on his blog: her...

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Sunday data/statistics link roundup (10/27/13)

October 27, 2013
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Pubmed Commons is a new post-publication commenting system. I think this is a great idea and I hope it succeeds. Right now it is in "private beta" so only people with Pubmed Commons accounts can post/view comments. But you can … Continue reading →

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Statistics + Journalism = Data Journalism ?

October 27, 2013
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Statistics + Journalism = Data Journalism ?

Statistics+journalism=data journalism is not the full truth. The equation may make sense because statistics are the most important source for data …Continue reading →

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Statistics + Journalism = Data Journalism ?

October 27, 2013
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Statistics + Journalism = Data Journalism ?

Statistics+journalism=data journalism is not the full truth. The equation may make sense because statistics are the most important source for data …Continue reading →

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Montreal R User Group – Dr. Ramnath Vaidyanathan on his rCharts package

October 27, 2013
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Montreal R User Group –  Dr. Ramnath Vaidyanathan on his rCharts package

Monday, October 28, 2013. 6:00pm at Notman House 51 Sherbrooke W., Montreal, QC. We are very pleased to welcome back Dr. Ramnath Vaidyanathan for a talk on interactive documents as it relates to his excellent rCharts package. Bringing a laptop to follow along is highly encouraged. I would recommend installing rCharts prior to the workshop. library(devtools) pkgs <- c(‘rCharts’, ‘slidify’, ‘slidifyLibraries’) install_github(pkgs, ‘ramnathv’, ref […]

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Uncompressing the concept of compressed sensing

October 27, 2013
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I received the following email: These compressed sensing people link to Shannon’s advice. It’s refreshing when leaders of a field state that their stuff may not be a panacea. I replied: Scarily enough, I don’t know anything about this research area at all! My correspondent followed up: Meh. They proved L1 approximates L0 when design […]The post Uncompressing the concept of compressed sensing appeared first on Statistical Modeling, Causal Inference,…

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Symmetry in Williams designs

October 27, 2013
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Based on some comments I am looking at using symmetry to obtain Williams style designs. Symmetry allows reduction of the number of combinations examined hence faster calculation times. Two avenues are examined. Both work for a low number of treatments....

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Comedy hour at the Bayesian (epistemology) retreat: highly probable vs highly probed (vs what ?)

October 27, 2013
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Comedy hour at the Bayesian (epistemology) retreat: highly probable vs highly probed (vs what ?)

Our favorite high school student, Isaac, gets a better shot at showing his college readiness using one of the comparative measures of support or confirmation discussed last week. Their assessment thus seems more in sync with the severe tester, but they are not purporting that z is evidence for inferring (or even believing) an H […]

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Practical Data Science with R October 2013 update

October 26, 2013
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Practical Data Science with R October 2013 update

A quick status update on our upcoming book “Practical Data Science with R” by Nina Zumel and John Mount. We are really happy with how the book is coming out. We were able to cover most everything we hoped to. Part 1 (especially chapter 3) is already being used in courses, and has some very […] Related posts: Data science project planning Data Science, Machine Learning, and Statistics: what is…

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“The Bayesian approach to forensic evidence”

October 26, 2013
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“The Bayesian approach to forensic evidence”

Mike Zyphur sent along this paper by Corinna Kruse: This article draws attention to communication across professions as an important aspect of forensic evidence. Based on ethnographic fieldwork in the Swedish legal system, it shows how forensic scientists use a particular quantitative approach to evaluating forensic laboratory results, the Bayesian approach, as a means of […]The post “The Bayesian approach to forensic evidence” appeared first on Statistical Modeling, Causal Inference,…

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“We agree that everyone deserves a second chance. But we do prefer when those given a second chance acknowledge that they did something wrong.”

October 25, 2013
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Yup. The post “We agree that everyone deserves a second chance. But we do prefer when those given a second chance acknowledge that they did something wrong.” appeared first on Statistical Modeling, Causal Inference, and Social Science.

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NBER/NSF Time-Series Conference: Retrospect and Prospect

October 25, 2013
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I recently reported here on the Barrigozzi-Brownlees paper, "Network Estimation for Time Series." I heard it presented a few weeks ago at the 2013 NBER/NSF Time Series Conference, hosted this year by the Federal Reserve Board in Washington (a...

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(Back to) The Future of Statistical Software #futureofstats

October 25, 2013
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In anticipation of the upcoming Unconference on the Future of Statistics next Wednesday at 12-1pm EDT, I thought I'd dig up what people in the past had said about the future so we can see how things turned out. In doing … Continue reading →

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Come hear my talk next Tuesday

October 25, 2013
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Come hear my talk next Tuesday

I will speak in the unCommon Salon series at NYU's Bobst Library, next Tuesday 6 pm. Registration link is here. You need to RSVP and get yourself on the guest list. Here is a clickable link.

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Pricing Reinsurance Contracts

October 25, 2013
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Pricing Reinsurance Contracts

In order to illustrate the next section of the non-life insurance course, consider the following example1, inspired from http://sciencepolicy.colorado.edu/…. This is the so-called “Normalized Hurricane Damages in the United States” dataset, for the period 1900-2005, from Pielke et al. (2008). The dataset is available in xls format, so we have to spend some time to import it, > library(gdata) > db=read.xls( + "http://sciencepolicy.colorado.edu/publications/special/public_data_may_2007.xls", + sheet=1) trying URL 'http://sciencepolicy.colorado.edu/publications/special/public_data_may_2007.xls' Content type 'application/vnd.ms-excel'…

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