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Chris Hemedinger 0
Bayesian analysis: how to be less wrong

"Less Wrong" is the name of the blog where I found this layman's explanation of Bayes' Theorem. As I've pointed out before, I'm not a statistician. But I can comprehend basic statistical explanations such as the explanation of the Monty Hall problem. Understanding the concepts and being able to apply

Analytics
Anna Brown 0
Personal business analytics

While reading a datadoodle blog post, Self tracking is business intelligence, I was taken back to my days in the advertising and PR agency world. The blog references Peter Drucker’s book, The Effective Executive that suggests tracking your day (or having your secretary do it) in increments of 15 minutes

Chris Hemedinger 0
This is your database...on SAS

Curt Monash posted a nice summary of the current and planned offerings that help to make SAS analytics more available "in the database" -- allowing you to analyze your data quickly without having to move it around so much. If you use SAS with Teradata, Netezza, or DB2, much of

Advanced Analytics
Mike Gilliland 0
Holdout Sets: Good or Bad?

My friend Tom Reilly of Automatic Forecasting Systems posted this comment on the INFORMS discussion group on LinkedIn: Some use all of the data and some withhold data to find the best forecasting model? Withholding is arbitrary as changing the withhold from x to y means a completely different model

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