Blog

App Stats: Teixeira on "Viral Video Advertising"

We hope you can join us this Wednesday, October 10, 2012 for the Applied Statistics Workshop. Thales Teixeira, Assistant Professor of Business Administration at the Harvard Business School, will give a presentation entitled "Viral Video Advertising". A light lunch will be served at 12 pm and the talk will begin at 12.15.

"Viral Video Advertising"
Thales Teixeira
Harvard Business School
CGIS K354 (1737...

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App Stats: Kasy on "Identification in General Triangular Systems"

We hope you can join us this Wednesday, October 3, 2012 for the Applied Statistics Workshop. Maximilian Kasy, Assistant Professor of Economics from the Department of Economics at Harvard University, will give a presentation entitled "Identification in General Triangular Systems". A light lunch will be served at 12 pm and the talk will begin at 12.15.

"Identification in General Triangular Systems"
Maximilian Kasy
...

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App Stats: Miratrix on "Random Weight Estimators: Adjusting Randomized Trials Without Using Observed Outcomes"

We hope you can join us this Wednesday, September 26, 2012 for the Applied Statistics Workshop. Luke Miratrix, Assistant Professor of Statistics in the Department of Statistics at Harvard University, will give a presentation entitled "Random Weight Estimators: Adjusting Randomized Trials Without Using Observed Outcomes". A light lunch will be served at 12 pm and the talk will begin at 12.15.

"Random Weight Estimators: Adjusting...

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App Stats: Nielsen on "Jihadi Radicalization of Muslim Clerics"

We hope you can join us this Wednesday, September 19, 2012 for the Applied Statistics Workshop. Rich Nielsen, a Ph.D. candidate from the Department of Government at Harvard University, will give a practice job talk entitled "Jihadi Radicalization of Muslim Clerics". A light lunch will be served at 12 pm and the talk will begin at 12.15.

"Jihadi Radicalization of Muslim Clerics"
Rich Nielsen
Government Department,...

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Pop music is getting louder, possibly more boring (statistically speaking)

The NYT just alerted me to a paper by Joan Serra and coauthors demonstrating what we can learn about popular music with a big data approach. I'll leave it to you to interpret the trends they identify (music is getting louder, also more similar), but it was interesting and gave me a lot of ideas for how I could borrow some of this technology for my own research.

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App Stats: Robins on "A Simple Unification of the Potential Outcome and Causal Graph Approaches to Causal Inference"

We hope you can join us this Wednesday, September 12, 2012 for the Applied Statistics Workshop. Jamie Robins, Professor of Epidemiology from the Harvard School of Public Health, will give a presentation entitled "A Simple Unification of the Potential Outcome and Causal Graph Approaches to Causal Inference". A light lunch will be served at 12 pm and the talk will begin at 12.15.

"A Simple Unification of the Potential...

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App Stats: Grubb on "Cellular Service Demand: Biased Beliefs, Learning, and Bill Shock"

We hope you can join us this Wednesday, September 5, 2012 for the first Applied Statistics Workshop of the Fall 2012 semester. Michael Grubb, an Assistant Professor of Applied Economics from the MIT Sloan School of Management, will give a presentation entitled "Cellular Service Demand: Biased Beliefs, Learning, and Bill Shock". A light lunch will be served at 12 pm and the talk will begin at 12.15.

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Kaggle is going to take your job

Ok, maybe not, but I was just introduced to kaggle, which is sort of like oDesk and a lot like topcoder: people post a problem and other people compete to win a prize by solving it most effectively. Kaggle is devoted to data analysis problems. For example, there is currently a contest to win 3 million if you can "Identify patients who will be admitted to a hospital within the next year, using historical claims data."...

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