Reading on Computational Statistics

If you are interested in reading more about bootstrap and cross-validation I find this pdf file a good starting point http://stat.ethz.ch/education/semesters/ss2012/CompStat/sk.pdf  : Chapters 4 and 5 If you’d like to learn more about monte carlo, i.e., simulations http://statweb.stanford.edu/~owen/mc/Ch-intro.pdf https://cse.sc.edu/~terejanu/files/tutorialMC.pdf

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HOMEWORK 2 DUE DATE (updated)

 Please note that the Homework 2 is now due on Saturday (instead of previously announced Thursday),   February 16th by 11:59pm. The best way to submit your homework is through GRADESCOPE,   one submission per team that includes two attachments – PDF file of your report and R code (or other code files) of your implementation. Please […]

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Case Study 3 – Search for the unusual cluster in the palindromes

Lecture Slides for the Case Study 3 / Homework 3  can be found here chp4 This study allows us to revisit/renew  Applied probability modeling through homogeneous Poisson process New scientific discoveries between “modeling no clusters” and matching/comparing that with the observed data Maxim Likelihood Estimator and its properties Chi-squared tests for finding “unusual” cluster Hypothesis testing […]

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Case Study 2 – Statistics Labs vs Video Games (updated)

Lecture Slides for the Case Study 2 / Homework 2  can be found here chp3   Please read in details the lecture notes presenting the second project, its research question, and suggestions as to how to start the analysis. Statement of the Homework 2 is also presented within the lecture slides (section Investigations) and will be presented in a […]

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