Introducing Probability

May 23, 2014
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Introducing Probability

I have a guilty secret. I really love probability problems. I am so happy to be making videos about probability just now, and conditional probability and distributions and all that fun stuff. I am a little disappointed that we won’t be … Continue reading →

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Introducing Probability

May 23, 2014
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Introducing Probability

I have a guilty secret. I really love probability problems. I am so happy to be making videos about probability just now, and conditional probability and distributions and all that fun stuff. I am a little disappointed that we won’t be … Continue reading →

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A. L. Nagar

May 23, 2014
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A. L. Nagar

Earlier this year I had a post in memory of the eminent statistician and econometrician, Anirudh Nagar. His passing was a great loss to our profession. Today, I was pleased to learn about this site that honours A. L. Nagar's life and contributions...

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10 things statistics taught us about big data analysis

May 22, 2014
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10 things statistics taught us about big data analysis

In my previous post I pointed out a major problem with big data is that applied statistics have been left out. But many cool ideas in applied statistics are really relevant for big data analysis. So I thought I'd try to answer the … Continue reading →

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The need for documenting functions

May 22, 2014
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The need for documenting functions

My current work usually requires me to work on a project until we can submit a research paper, and then move on to a new project. However, 3-6 months down the road, when the reviews for the paper return, it is quite common to have to do some new analyses or re-analyses of the data. […]

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Big Data needs Big Model

May 22, 2014
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Gary Marcus and Ernest Davis wrote this useful news article on the promise and limitations of “big data.” And let me add this related point: Big data are typically not random samples, hence the need for “big model” to map from sample to population. Here’s an example (with Wei Wang, David Rothschild, and Sharad Goel): […] The post Big Data needs Big Model appeared first on Statistical Modeling, Causal Inference,…

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R and Python Meetups, Philippines

May 22, 2014
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There will be upcoming meet ups for R User Group Philippines and Python Philippines (PythonPH) Community. Below are the details:R Meetuptopic: R for SAS users, and planning of RUG activities venue: 9/F Sun Life Centre, 5th Avenue corner Rizal Driv...

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Newer dplyr!!

May 22, 2014
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Newer dplyr!!

Last week Statistical Programming DC had a great meetup with my partner-in-crime Marck Vaisman talking about data.table and dplyr as powerful, fast R tools for data manipulation in R. Today Hadley Wickham announced the release of dplyr v.0.2, which is packed with new features and incorporates the “piping” syntax from Stefan Holst Bache‘s magrittr package. I […]

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The Birthday Simulation

May 22, 2014
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The Birthday Simulation

Nothing novel or unique about this problem.  This just extends the problem to measure the probability to three or more people sharing the same birthday using simulation approaches. Though there are other ways to approach this problem with built-in functions the example below shows some of the individual steps. For two people it’s fairly straight forward […]

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estimation of deformations of densities

May 21, 2014
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estimation of deformations of densities

Today, Jean-Michel Loubes from Toulouse gave a seminar in Dauphine on the estimation of deformations using Wassertsein distances. This is functional data analysis, where samples from random transforms of the original density are observed towards estimating the baseline (or true) measure As a neophyte, I found the problem of interest if difficult to evaluate, in […]

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A Coursera course on Machine Learning starts on 16 June

May 21, 2014
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A Coursera course on Machine Learning starts on 16 June

A 10-week course on Machine Learning by Andrew Ng from Stanford University will start on Coursera on 16 June. Below are descriptions of the course picked up from Coursera. The course provides a broad introduction to machine learning, data mining, … Continue reading →

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Correlation – NOT Causation

May 21, 2014
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Correlation – NOT Causation

"Correlation is NOT the same as causation".I don't know how many times I've said it (haven't we all?) in class, to the T.V. announcer, ...........Tyler Vigen is a grad. student at Harvard Law School. He has a fun site called Spurious Correlations. Here...

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History hour

May 21, 2014
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This is kind of cool $-$ that's an article by Joseph Mazur, appeared in The Guardian with a very brief (but interesting) discussion of the origin of mathematical symbols. I had never really thought about it and basically gave the use of familiar s...

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Models with constraints

May 21, 2014
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I had an interesting conversation with Aki about monotonicity constraints. We were discussing a particular set of Gaussian processes that we were fitting to the arsenic well-switching data (the example from the logistic regression chapter in my book with Jennifer) but some more general issues arose that I thought might interest you. The idea was […] The post Models with constraints appeared first on Statistical Modeling, Causal Inference, and Social…

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Title IX, causal claims, and plausibility in statistics

May 21, 2014
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Andrew Gelman discusses a paper and blog post by Ian Ayres on the Freakonomics blog. Their main result is summarized as: We find that a ten percentage-point increase in state-level female sports participation generates a five to six percentage-point rise in the rate of female secularism, a five percentage-point increase in the proportion of women who are mothers, and a six percentage-point rise in the proportion of mothers who, at…

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Using associativity can lead to big performance improvements in matrix multiplication

May 21, 2014
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Using associativity can lead to big performance improvements in matrix multiplication

In a previous post, I stated that you should avoid matrix multiplication that involves a huge diagonal matrix because that operation can be carried out more efficiently. Here's another tip that sometimes improves the efficiency of matrix multiplication: use parentheses to prevent the creation of large matrices. Matrix multiplication is […]

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The Science Wars & the Statistics Wars: More from the Scientism workshop

May 21, 2014
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The Science Wars & the Statistics Wars: More from the Scientism workshop

Here are the slides from my presentation (May 17) at the Scientism workshop in NYC. (They’re sketchy since we were trying for 25-30 minutes.) Below them are some mini notes on some of the talks. Now for my informal notes. Here’s a link to the Speaker abstracts;the presentations may now be found at the conference site here. Comments, questions, and corrections […]

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plus ça change, plus c’est la même chose

May 20, 2014
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This post is by Phil, and I’m writing about the slow pace of change in 21st-century America. [Note added later: at the time that I wrote this, I was unaware that a year-and-a-half ago Andrew had written a similar post on the theme. I suspect I, and perhaps most of this blog's readers, missed it […] The post plus ça change, plus c’est la même chose appeared first on Statistical…

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Indian Elections 2014 – a Summary

May 20, 2014
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Indian Elections 2014 – a Summary

India conducted general elections between 7th April and 12th May , which elected a Member of Parliament to represent each of the 543 constituencies that make up the country. The opposition BJP won 31% of the votes, which yielded them 282 out of 543 seats in parliament, or 52% of all seats. The BJP allied with […]

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On the cool maps about baseball fandom

May 20, 2014
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On the cool maps about baseball fandom

Josh Katz, who did the dialect maps I featured recently, is at it again. He's one of the co-authors of a series of maps (link) published by the New York Times about the fan territorities of major league baseball teams....

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Thermodynamic Monte Carlo: Michael Betancourt’s new method for simulating from difficult distributions and evaluating normalizing constants

May 20, 2014
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Thermodynamic Monte Carlo:  Michael Betancourt’s new method for simulating from difficult distributions and evaluating normalizing constants

I hate to keep bumping our scheduled posts but this is just too important and too exciting to wait. So it’s time to jump the queue. The news is a paper from Michael Betancourt that presents a super-cool new way to compute normalizing constants: A common strategy for inference in complex models is the relaxation […] The post Thermodynamic Monte Carlo: Michael Betancourt’s new method for simulating from difficult distributions…

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Next Kölner R User Meeting: Friday, 23 May 2014

May 20, 2014
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Next Kölner R User Meeting: Friday, 23 May 2014

The next Cologne R user group meeting is scheduled for this Friday, 23 May 2014. To celebrate our 10th meeting we welcome:Andrie de Vries (Revolution Analytics and Co-author of R for Dummies): Taking R to the Enterprise Markus Gesmann: googleVis overvi...

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The Purchase Funnel Survives the Consumer Decision Journey

May 19, 2014
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The Purchase Funnel Survives the Consumer Decision Journey

The journey metaphor is almost irresistible. All one needs is a starting point and a finish line, plus some notion of progression. Thus, life is a journey, and so is love. Why not apply the metaphor to your next purchase? McKinsey & Company takes s...

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