New Kvetch Filed under: Uncategorized Tagged: creepy, kvetching, recruiting women in science
New Kvetch Filed under: Uncategorized Tagged: creepy, kvetching, recruiting women in science
Here are the slides for the first day of my course at Monash University, Melbourne, in the Special Lectures in Econometrics, with a strong similarity with the slides of my course in Wharton, two years ago. (Be sure to check slide 67! If the update on slideshare works from my flat in Melbourne…) Filed under: [...]
Consider two groups of data on a metric scale, for which we want to conduct a t test. To compute the p value of t, we need to determine its sampling distribution, which is the relative probability of all possible values of t that would be obtained from...
Surveys become engaging when they become games, or at least, take on some of the characteristics of games. This is the argument made by those advocating the gamification of marketing research [http://researchaccess.com/2011/12/market-researc...
Top Universities Test the Online Appeal of Free: Online courses have been around for years, but now big-name colleges and competing software platforms have entered the field, which is evolving with astonishing speed.
The US News best hospital 2012-20132 rankings are out. The big news is that Johns Hopkins has lost its throne. For 21 consecutive years Hopkins was ranked #1, but this year Mass General Hospital (MGH) took the top spot displacing Hopkins to #2. Howeve...
The following from Revolutions: John Myles White, self-described “statistics hacker” and co-author of “Machine Learning for Hackers” was interviewed recently by The Setup. In the interview, he describes his some of his go-to R packages for data science: Most of my work involves programming, so programming languages and their libraries are the bulk of the [...]
The basics of statistical simulation A statistical simulation often consists of the following steps: Simulate a random sample of size N from a statistical model. Compute a statistic for the sample. Repeat 1 and 2 many times and accumulate the results. Examine the union of the statistics, which approximates the sampling distribution of the statistic [...]
Computing for Data Analysis Data Analysis Mathematical Biostatistics Bootcamp
Gur Huberman points to an article on the financial crisis by Bethany McLean, who writes: lthough our understanding of what instigated the 2008 global financial crisis remains at best incomplete, there are a few widely agreed upon contributing factors. One of them is a 2004 rule change by the U.S. Securities and Exchange Commission that [...]
I ran across a nice quote from Phil Schrodt on the virtue of explanation over prediction. It starts, "This is utterly, totally and completely self-serving bullshit...", and there is more. I encourage you to share this with others and contribute to the conversation at Explanation or Prediction? An Amazing Quote from Phil Schrodt, which first appeared at carlislerainey.com.For more of my thoughts and ideas, subscribe to my blog (via RSS…
Over the past few years, and especially since I posted my article on eight tips to make your simulation run faster, I have received many emails (often with attached SAS programs) from SAS users who ask for advice about how to speed up their simulation code. For this reason, I [...]
So says this infographic (link). Reader John G. sent in an entire post, giving me a day off. Here's some light entertainment for mid-week. ***
Universities Reshaping Education on the Web: Major universities are joining Johns Hopkins, Princeton and others to expand Coursera, a venture that offers free massive open online courses, or MOOCs.
The 20th annual ISMB meeting was held over the last week in Long Beach, CA. It was an incredible meeting with lots of interesting and relevant talks, and lots of folks were tweeting the conference, usually with at least a few people in each concurrent ...
Minimax theory is the best thing in statistical machine learning—or the worst— depending on your point of view. 1. The Basics of Minimaxity Let be a set of distributions. We observe . Let be a function of the distribution (like the mean of ). The minimax risk is where the infimum is over all estimators [...]
Some good presentations from this year’s opendata.ch event in Zürich, Switzerland. Nigel Shadbolt on Open Data and Economy . Abraham …Continue reading »
ScienceDaily (July 16, 2012) — Interpreting the results of statistical surveys, e.g., Transparency International's corruption indices, is not always a simple matter. As Dr. Heiko Paulheim of the Knowledge Engineering Group at the TU Darmstadt's Com...
An example of an API access to statistical data The U.S. Census Bureau now offers some of its public data in machine-readable format. This is done via an Application Programming Interface (“API”). Based on this API an App has been developed helping to query data from the Cenus 2010: No data without legal clarification. The …Read More
Just stumbled on across a course on coursera titled “Computing for Data Analysis” taught by Roger D. Peng the Johns Hopkins Bloomberg School of Public Health. Here is the description of the course. In this course you will learn how to program in R and how to use R for effective data analysis. You will learn … Continue reading →
Today, we’re very excited to announce that the Biostatistics Department at Johns Hopkins is offering three new online courses through Coursera. These courses are Data Analysis: Data have never been easier or cheaper to come by. This course will cover...
Eric Tassone writes: Probably not blog-worthy/blog-appropriate, but have you heard Bill James discussing the Sandusky & Paterno stuff? I think you discussed once his stance on the Dowd Report, and this seems to be from the same part of his personality—which goes beyond contrarian . . . I have in fact blogged on James (many [...]
I examine the dispute between political scientists and journalists over the size of campaign effects, arguing that it stems from a misunderstanding of counterfactuals. I encourage you to share this with others and contribute to the conversation at Clarity about the Counterfactual when Discussing "Campaign Effects", which first appeared at carlislerainey.com.For more of my thoughts and ideas, subscribe to my blog (via RSS or Email) and follow me on Twitter.…
