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* R-Ladies East Lansing| Meet UpR-Ladies East Lansing| Meet Up


Shutup & Code: troubleshooting your R code

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* Book Club - R for Data ScienceBook Club - R for Data Science


The idea of the book club is to read through an R programming book in stages and work through questions/exercises over a several consecutive meetings. During the meeting attendees have the opportunity to ask questions and discuss the content of the book with the session host and each other. If the book includes exercises the meeting offers the opportunity to compare each others answers and work on more difficult problems together. The first book we will work through is the R for Data Science book (available online: https://r4ds.had.co.nz/ ), each fortnight we will discuss one of the sections: Explore, Wrangle, Program, Model, Communicate If this format is successful, future books could include: 1. Advanced R - https://adv-r.hadley.nz/ 2. R packages - http://r-pkgs.had.co.nz/ 3. Deep Learning with R (Not available for free, however, the associated github repo has all exercises)

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* RSS - Discussion Paper MeetingRSS - Discussion Paper Meeting


Wednesday 11 December 2019, 05:00pm - 07:00pm About the event: Markov chain Monte Carlo (MCMC) methods provide consistent approximations of integrals as the number of iterations goes to 1. MCMC estimators are generally biased after any fixed number of iterations. We propose to remove this bias by using couplings of Markov chains together with a telescopic sum argument of Glynn and Rhee. The resulting unbiased estimators can be computed independently in parallel. We discuss practical couplings for popular MCMC algorithms. We establish the theoretical validity of the estimators proposed and study their efficiency relative to the underlying MCMC algorithms. Finally, we illustrate the performance and limitations of the method on toy examples, on an Ising model around its critical temperature, on a high dimensional variable-selection problem, and on an approximation of the cut distribution arising in Bayesian inference for models made of multiple modules. Speakers: Pierre E. Jacob and John O’Leary (Harvard University, Cambridge) and Yves F. Atchadé (Boston University) This event will be followed by a drinks reception Registration alongside tea and coffee from 4.30 pm.

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* December IBS Journal ClubDecember IBS Journal Club


The International Biometric Society (IBS) Journal Club is an initiative, designed by the Education Committee to help members and others network and discuss recent papers published in IBS journals.

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Non-IBS Event  Non-IBS Event
IBS Event  IBS Event
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