Bayesian estimation and precision as the goal for data collection (expanded)

March 15, 2014
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Precision as the goal for data collection, talk at U.C. Irvine, March 14, 2014.Part 1: Rejecting null is not enough, also need estimate and precision. Bayesian estimation supersedes confidence intervals and "the new statistics". Part 2: Two Bayesian w...

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Seminars by the Number – Redux

March 14, 2014
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Seminars by the Number – Redux

In my second post on this blog, just over three years ago, I took a shot at seminars - economics seminars in particular. There's nothing there that I want to retract. I still remain bemused by the duration of economics seminars; the time that's wasted ...

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ENAR is in Baltimore – Here’s What To Do

March 14, 2014
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This year's meeting of the Eastern North American Region of the International Biometric Society (ENAR) is in lovely Baltimore, Maryland. As local residents Jeff and I thought we'd put down a few suggestions for what to do during your stay … Continue reading →

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qdap 1.3.1 Release: Demoing Dispersion Plots, Sentiment Analysis, Easy Hash Lookups, Boolean Searches and More…

March 14, 2014
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qdap 1.3.1 Release: Demoing Dispersion Plots, Sentiment Analysis, Easy Hash Lookups, Boolean Searches and More…

We’re very pleased to announce the release of qdap 1.3.1 This is the latest installment of the qdap package available at CRAN. Several important updates have occurred since the 1.1.0 release, most notable the addition of two vignettes and some … Continue reading →

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How to use Bioconductor to find empirical evidence in support of π being a normal number

March 14, 2014
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How to use Bioconductor to find empirical evidence in support of π being a normal number

Happy π day everybody! I wanted to write some simple code (included below) to the test parallelization capabilities of my  new cluster. So, in honor of  π day, I decided to check for evidence that π is a normal number. A … Continue reading →

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The maximal information coefficient

March 14, 2014
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Justin Kinney writes: I wanted to let you know that the critique Mickey Atwal and I wrote regarding equitability and the maximal information coefficient has just been published. We discussed this paper last year, under the heading, Too many MC’s not enough MIC’s, or What principles should govern attempts to summarize bivariate associations in large […]The post The maximal information coefficient appeared first on Statistical Modeling, Causal Inference, and Social…

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Using Genetic Algorithms in Quantitative Trading

March 14, 2014
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The question one should always asked him/herself when using technical indicators is what would be an objective criteria to select indicators parameters (e.g., why using a 14 days RSI rather than 15 or 20 days?). Genetic algorithms (GA) are well suited tools to answer that question. In this post I’ll show you how to set […]

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Pi Day Special: #onelesspie initiative to clean up Wikipedia

March 14, 2014
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Pi Day Special: #onelesspie initiative to clean up Wikipedia

Xan Gregg and I talked about how we should celebrate PI day. How about cleaning up Wikipedia by getting rid of those ugly, confusing, multicolor, 3D, exploded pie charts? (PS. Here is Xan's post.) A quick search on Google reveals...

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Big Data – The 5 Vs Everyone Must Know

March 14, 2014
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Big Data - The 5 Vs Everyone Must Know from Bernard Marr

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For pi day: A continued fraction expansion of pi

March 14, 2014
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For pi day: A continued fraction expansion of pi

Many geeky mathematical people celebrate "pi day" on March 14, because the date is written 3/14 in the US, which is evocative of the decimal representation of π = 3.14.... Most people are familiar with the decimal representation of π. The media occasionally reports on a new computational tour-de-force that [...]

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Probabilistic forecasting by Gneiting and Katzfuss (2014)

March 14, 2014
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Probabilistic forecasting by Gneiting and Katzfuss (2014)

The IJF is introducing occasional review papers on areas of forecasting. We did a whole issue in 2006 reviewing 25 years of research since the International Institute of Forecasters was established. Since then, there has been a lot of new work in application areas such as call center forecasting and electricity price forecasting. In addition, there are areas we did not cover in 2006 including new product forecasting and forecasting…

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Applied Statistics Lesson of the Day – The Independent 2-Sample t-Test with Unequal Variances (Welch’s t-Test)

Applied Statistics Lesson of the Day – The Independent 2-Sample t-Test with Unequal Variances (Welch’s t-Test)

A common problem in statistics is determining whether or not the means of 2 populations are equal.  The independent 2-sample t-test is a popular parametric method to answer this question.  (In an earlier Statistics Lesson of the Day, I discussed how data collected from a completely randomized design with 1 binary factor can be analyzed […]

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Filtering a Stationary Time Series

March 14, 2014
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In the first part of the MAT8181 course, on linear (univariate) time series, I forgot to mention an important theorem. Let  be a stationary time series, and  a sequence of real numbers such that then the time series  defined as is a stationary t...

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Text Mining Gun Deaths Data

March 13, 2014
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Text Mining Gun Deaths Data

In this post I will explore public data being collected by Slate.  I previously released code using a much early set of this data demonstrating how to turn this data into an animated map.This data began collection as a public response to the horri...

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For Everyone

March 13, 2014
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For Everyone

The World Wide Web’s birthday! (webat25.org). And a greeting address from Tim Bernetrs-Lee: ‘By working together, I believe we can …Continue reading →

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For Everyone

March 13, 2014
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For Everyone

The World Wide Web’s birthday! (webat25.org). And a greeting address from Tim Bernetrs-Lee: ‘By working together, I believe we can …Continue reading →

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An Economist’s Guide to Visualizing Data

March 13, 2014
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An Economist’s Guide to Visualizing Data

Stephen Jenkins wrote: I was thinking that you and your blog readers might be interested in “An Economist’s Guide to Visualizing Data” by Jonathan Schwabish, in the most recent Journal of Economic Perspectives (which is the American Economic Association’s main “outreach” journal in some ways). I replied: Ooh, I hate this so much! This seems […]The post An Economist’s Guide to Visualizing Data appeared first on Statistical Modeling, Causal Inference,…

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Setting the right priority

March 13, 2014
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Setting the right priority

On the sister blog, I wrote about a new report on the music industry lamenting that the hype over "Long Tail" retail has not really helped small artists (as a group). This was a tip sent by reader Patrick S....

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Get empowered to detect power howlers

March 13, 2014
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Get empowered to detect power howlers

If a test’s power to detect µ’ is low then a statistically significant result is good/lousy evidence of discrepancy µ’? Which is it? If your smoke alarm has little capability of triggering unless your house is fully ablaze, then if it has triggered, is that a strong or weak indication of a fire? Compare this insensitive […]

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Canada et al

March 13, 2014
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1. Today was the first day of our course on Bayesian methods in health economics. After my lecture on intro to health economics, Chris has given 2 lectures on Bayesian methods and their implementation in BUGS and then Richard has talked about Baye...

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Testing for trend in ARIMA models

March 12, 2014
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Testing for trend in ARIMA models

Today’s email brought this one: I was wondering if I could get your opinion on a particular problem that I have run into during the reviewing process of an article. Basically, I have an analysis where I am looking at a couple of time-series and I wanted to know if, over time there was an upward trend in the series. Inspection of the raw data suggests there is, but we…

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Software Carpentry at UVA, Redux

March 12, 2014
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Software Carpentry at UVA, Redux

Software Carpentry is an international collaboration backed by Mozilla and the Sloan Foundation comprising a team of volunteers that teach computational competence and basic programming skills to scientists. In addition to a suite of online lessons, ...

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Python: Numerical Descriptions of the Data

March 12, 2014
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Python: Numerical Descriptions of the Data

We are going to explore the basics of Statistics using Python. And we'll go through the following:Importing the data;Apply summary statistics;Other measures of variability (variance and coefficient of variation);Other measures of position (percentile a...

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