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RStudio is good for you | Statisfaction
https://statisfaction.wordpress.com/2011/04/29/rstudio-is-good-for-you
Skip to search - Accesskey = s. RStudio is good for you. By Julyan Arbel on 29 April 2011. I was recently introduced to RStudio. A new integrated development environment for R, it is just amazing! It is free, and open, compatible with PC/Mac/Linux OSs. You can also choose to run it in the cloud, and access it from your favorite web browser. Icons (as well as saving, printing), or by a shortcut (Command or Ctrl Enter). For more shortcuts you can check this page. Laquo; How to make a poster with LaTeX.
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Reading Bayesian classics — presentations | Statisfaction
https://statisfaction.wordpress.com/2015/04/21/reading-bayesian-classics-presentations
Skip to search - Accesskey = s. Reading Bayesian classics — presentations. By Julyan Arbel on 21 April 2015. The students did a great job in presenting some Bayesian classics. I enjoyed reading the papers (pdfs can be found here. Most of which I hadn’t read before, and enjoyed also the students’ talks. I share here some of the best ones, as well as some demonstrative excerpts from the papers. In chronological order (presentations on slideshare below):. 57(1):97 109, 1970. With discussion, 1 41, 1972.
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momentify R package at BAYSM14 | Statisfaction
https://statisfaction.wordpress.com/2014/09/20/momentify
Skip to search - Accesskey = s. Momentify R package at BAYSM14. By Julyan Arbel on 20 September 2014. Of my postdoc at the big success Young Bayesian Conference. In Vienna. The big picture of the talk is simple: there are situations in Bayesian nonparametrics where you don’t know how to sample from the posterior distribution, but you can only compute posterior expectations (so-called. Is a kernel, and the mixing distribution. Is random and discrete (Bayesian nonparametric approach). Evaluated at any time.
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Who is Julia ? | Statisfaction
https://statisfaction.wordpress.com/2015/06/04/who-is-julia
Skip to search - Accesskey = s. By JB Salomond on 4 June 2015. Unfortunately this post is indeed about statistics…. If you are randomly walking around the statistics blogs, you probably have certainly heard of this new language called Julia. It is said by the developers to be as easy to write as R and as fast as C (! Which is quite a catchy way of selling their work. After talking with a Julia enthusiastic user in Amsterdam, I decided to give it a try. And here I am sharing my first impressions. There is...
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Sequential Bayesian inference for time series | Statisfaction
https://statisfaction.wordpress.com/2015/05/19/sequential-bayesian-inference-for-time-series
Skip to search - Accesskey = s. Sequential Bayesian inference for time series. By Pierre Jacob on 19 May 2015. Bayes factor between two hidden Markov models, against number of assimilated observations. Values near zero support the simpler model while values larger than one support the more complex model. I have just arXived a review article, written for ESAIM: Proceedings and Surveys. Called Sequential Bayesian inference for implicit hidden Markov models and current limitations. Useful indeed, well done!
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Turing revisited in Turin, and Oxford | Statisfaction
https://statisfaction.wordpress.com/2015/06/18/turing-revisited-in-turin-and-oxford
Skip to search - Accesskey = s. Turing revisited in Turin, and Oxford. By Julyan Arbel on 18 June 2015. Are you paying attention? Good If you are not listening carefully, you will miss things. Important things. With colleagues Stefano Favaro. From Turin and Yee Whye Teh. From Oxford, we have just arXived. Is the probability that the next individual observed matches a species with frequency. Sample. For instance, the probability of observing a new species. Is key for devising sampling experiments. Of disc...
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Bayesian classics | Statisfaction
https://statisfaction.wordpress.com/2015/03/17/bayesian-classics
Skip to search - Accesskey = s. By Julyan Arbel on 17 March 2015. Collegio Carlo Alberto in a sunny day. I’ve made up the list below, inspired by two textbooks references lists and biased by personal tastes: Xian’s Bayesian Choice. And Peter Hoff’s First Course in Bayesian Statistical Methods. See the pdf list. For papers. Comments on the list are much welcome! PS: reference n 1 isn’t a joke! Tagged with: Bayesian Statistics. Laquo; [Meta-]Blogging as young researchers. Subscribe to comments with RSS.
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Unfortunate typos in read paper | Statisfaction
https://statisfaction.wordpress.com/2014/12/03/unfortunate-typos-in-read-paper
Skip to search - Accesskey = s. Unfortunate typos in read paper. By nicolaschopin on 3 December 2014. Mathieu and I have just realised that the version. Of our SQMC paper made available on the RSS web site contains several unfortunate typos. In particular, the symbol for “small o” has been replaced by a “big O” by editors. For instance, Theorem 9 should state the QMC beats standard SMC; i.e. the MSE (mean square error) of an SQMC estimator is. But in the RSS version, it reads. Laquo; SQMC read paper.
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Triathlon data with ggplot2 | Statisfaction
https://statisfaction.wordpress.com/2011/10/11/triathlon-data-with-ggplot2
Skip to search - Accesskey = s. Triathlon data with ggplot2. By Julyan Arbel on 11 October 2011. As Jérôme and I like so much to play with triathlon data, it is a pleasure to see that we are not alone. Christophe Ladroue, from the university of Bristol, wrote this post yesterday: An exercise in plyr and ggplot2 using triathlon results. Followed by part II. Way better than ours, here. Post for colors by quartile in the 3 disciplines):. Or for Paris 20 km race, with data from 2004 to 2010. 8230;] less impo...
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SQMC read paper | Statisfaction
https://statisfaction.wordpress.com/2014/10/29/sqmc-read-paper
Skip to search - Accesskey = s. By nicolaschopin on 29 October 2014. Another way to generate random particles. Almost 10 months since my latest post? It is a QMC (Quasi-Monte Carlo) version of particle filtering. For the same CPU cost, it typically generates much more accurate estimators. Interested? Consider reading the paper. Here (more recent version coming soon), checking this video. Where I present SQMC, or, even better, attending our talk in London! Laquo; momentify R package at BAYSM14. Notify me ...
