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This past May, I completed the Simulation and Parallel and Distributed Systems class that I was attending. While taking two classes while working full time was challenging; the pure fun of it all more than made up for the challenge! I will have fond memories of that semester for a long time. I can’t wait [...]
Ever wondered why Markov Chains in Monte Carlo methods converge after enough iterations? I did. Tanvir shared this link with me to find out why.
Saturday, January 23, 2010
In Spring of 2010 I am taking two classes: MSCS 6020: Simulation (syllabus) and MSCS 6060: Parallel & Distributed Systems (syllabus).
Thursday, January 7, 2010
In Fall of 2009 I took one class: MSCS 6010: Probability which used Statistical Inference, Second edition by Casella & Berger. Addendum: 01/23/10 Here is the syllabus for the course.
This past December, on the fifteenth, I completed the Probability class that I was attending. We covered Probability from the theoretical (Calculus) and analytical (MATLAB) side of things. In my first foray into theory behind Statistics, I found the relationships between the distributions to be really neat to see, and along with the Calculus, a [...]
http://www.amstat.org/jobweb/index.cfm http://www.stat.ufl.edu/vlib/jobs.html http://www.stat.purdue.edu/resources/jobs/jobs.cgi?type=1 http://jobs.imstat.org/c/search_results.cfm?site_id=1847 http://eims.ams.org/search/ http://www.mathjobs.org/jobs (via Dr. Rowe)
In the first half of the semester in the Probability course I am taking we learned (among other things) how to, given the probability distribution function for any distribution, derive, if possible, the: Commulative Distribution Function Population Mean Population Variance Population Standard Deviation Population Median Population Mode Moment Generating Function Everyone seems to be excited [...]
Tuesday, September 22, 2009
The Powerball people seem like a cool bunch of people. Check this out. (via reddit)
Sunday, September 20, 2009
Here is an article that explains how one of the four co-founders of SAS, a statistician, has an awesome job where the serious product (SAS) pays for him to develop the fun product (JMP). Note: That is an understatement, as it probably would pay for him to stare at the ocean for the rest of [...]