Data Intelligence, Business Analytics
Big data must really be big to get its own White House-sanctioned research and development push.
The White House Office of Science and Technology Policy will host a live…Continue
Added by Vincent Granville on March 30, 2012 at 9:30am — No Comments
I like to…Continue
Added by Vincent Granville on March 30, 2012 at 10:00am — No Comments
Added by Vincent Granville on March 27, 2012 at 10:30am — No Comments
When Justin Bassett interviewed for a new job, he expected the usual questions about experience and references. So he was astonished when the interviewer asked for something else: his Facebook username and password.
Bassett, a New York City statistician, had just finished answering a few character questions when the…Continue
It’s been quite a while since business intelligence was the sole province of high-level strategic planners and C-level executives. Today, BI tools and analytics insights are being used by increasing numbers of people to answer immediate tactical questions and identify optimal courses of action. This trend has been enabled and accelerated by the consumerization of IT and the “democratization” of tech knowledge. As…Continue
Hospitals laying off workers, blaming in on fewer patients and lower revenue... No statistical model was able to predict it, although the explanation is obvious.
After several years into Great Recession
Added by Capri on March 21, 2012 at 6:00pm — No Comments
Interesting stuff from the Analytics Magasine from INFORMS (The Operations Research Society):
Added by Vincent Granville on March 20, 2012 at 2:30pm — No Comments
Added by Vincent Granville on March 20, 2012 at 2:00pm — No Comments
First of all, our team is absolutely delighted that Judea Pearl won the ACM Turing Award, widely considered the "Nobel Prize in Computing". For well over a decade we've been exclusively committed to developing software based on Bayesian networks, a paradigm established…Continue
Added by Vincent Granville on March 19, 2012 at 8:00pm — No Comments
Guest post written by Shomit GhoseContinue
Added by Vincent Granville on March 14, 2012 at 8:19pm — No Comments
Added by Vincent Granville on March 14, 2012 at 8:00pm — No Comments
Interesting article published in IEEE Spectrum.
The queen of the sciences may someday lose its royal status
By ROBERT W. LUCKY / MARCH 2012…Continue
Added by Vincent Granville on March 10, 2012 at 3:33pm — No Comments
For statistical process control, a number of single charts that jointly monitor both process mean and variability recently have been developed. For quality control-related hypothesis testing, however, there has been little analogous development of joint mean-variance tests: only one two-sample statistic that is not computationally intensive has been designed specifically for the one-sided test of Ho: Mean2<=Mean1 and StDev2<=StDev1 vs. Ha: Mean2>Mean1 OR StDev2>StDev1 (see…Continue
Added by J.D. Opdyke on March 9, 2012 at 7:41am — No Comments
Three metrics can be used to segment the population of data scientists. Each metric has three levels: high, medium, low. Hence the 27 (= 3 * 3 * 3) types of scientists.
Here are the metrics in question:
Random Walkers, Informal Quant Meetup in the Crosse Keys Pub
Thursday 8th March
A meetup for quants, risk managers, traders, algos, quant/devs and anyoneelse who (mis)uses maths in finance.This is not a formal affair, we are taking over the balcony area at the back ofthe Crosse Keys pub near Leadenhall…
Added by Vincent Granville on March 8, 2012 at 1:00pm — No Comments
The financial crisis – risk transfer, insurance layers and (no?) reinsurance culture
Michael Fackler freelance actuary Munich, Germany
The financial crisis of 2007 has triggered various debates, ranging from the stability of the banking system to subtle technical issues regarding the Gaussian and other copulas. All these debates are important, and it might be good to start even a further one: Credit derivatives have much in common with…
Added by John A Morrison on March 7, 2012 at 9:00pm — No Comments
“Exploratory” and “conﬁrmatory” data analysis can both be viewed as methods for comparing observed data to what would be obtained under an implicit or explicit statistical model. For example, many of Tukey’s methods can be interpreted as checks against hypothetical linear models and Poisson distributions. In more complex situations, Bayesian methods can be useful for constructing reference distributions for various plots that are useful in exploratory…Continue
Added by John A Morrison on March 7, 2012 at 10:30pm — No Comments
Added by Sandeep Raut on March 7, 2012 at 7:37pm — No Comments
In the last months we discussed a lot about text mining algorithms, I would like for a while focus on data mining aspects.
Today I would talk about one of the most intriguing topics related to data mining tasks: the regression analysis.
...To read the entire post click here
Added by Cristian Mesiano on March 7, 2012 at 2:27pm — No Comments