Posts Tagged ‘ Books ’

Core in CiRM [1]

July 6, 2010
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Core in CiRM [1]

Jean-Michel Marin and myself have thus started our “research in pair” in CIRM, Luminy, for a fortnight. We are working on the second edition of Bayesian Core and, despite working round the clock on the project (except for a one hour run around Mont Puget this morning), we are not going as fast as planned…

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Using R for Introductory Statistics 3.2

June 6, 2010
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Using R for Introductory Statistics 3.2

...continuing my sloth-like progress through John Verzani's Using R for Introductory Statistics. Previous installments: Chapters 1 and 2 and 3.1. Comparing independent samples Boxplots provide a visual comparison between two or more distributions. Fo...

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Using R for Introductory Statistics, 3.1

May 21, 2010
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Using R for Introductory Statistics, 3.1

Pairs of categorical data The grades data.frame holds two columns of letter grades, giving pairs of categorical data, like so: prev grade 1 B+ B+ 2 A- A- 3 B+ A- ... 122 B B This type...

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ACM Transactions on Modeling and Computer Simulation

May 20, 2010
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ACM Transactions on Modeling and Computer Simulation

Pierre Lecuyer is the new editor of the ACM Transactions on Modeling and Computer Simulation (TOMACS) and he has asked me to become an Area Editor for the new area of simulation in Statistics. I am quite excited by this new Æditor’s hat, since this is a cross-disciplinary journal: The ACM Transactions on Modeling and

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Confusing slice sampler

May 18, 2010
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Confusing slice sampler

Most embarrassingly, Liaosa Xu from Virginia Tech sent the following email almost a month ago and I forgot to reply: I have a question regarding your example 7.11 in your book Introducing Monte Carlo Methods with R.  To further decompose the uniform simulation by sampling a and b step by step, how you determine the

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Typo in Bayesian Core [again]

May 15, 2010
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Typo in Bayesian Core [again]

Reza Seirafi from Virginia Tech sent me the following email about Bayesian Core, which alas is pointing out a real typo in the reversible jump acceptance probability for the mixture model: With respect to the expression provided on page 178 for the acceptance probability of the split move, I was wondering if the omission of

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pimax(mcsm)

May 12, 2010
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pimax(mcsm)

The function pimax from our package mcsm is used in to reproduce Figure 5.11 of our book Introducing Monte Carlo Methods with R. (The name comes from using the Pima Indian R benchmark as the reference dataset.) I got this email from Josué I ran the ‘pimax’ example from the mcsm manual, and it gave

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A ridiculous email

May 10, 2010
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A ridiculous email

Wolfram Research presumably has a robot that sends automated email following postings on arXiv: Your article, “Evidence and Evolution: A review”, caught the attention of one of my colleagues, who thought that it could be developed into an interesting Demonstration to add to the Wolfram Demonstrations Project. The Demonstrations Project, launched alongside Mathematica 6 in

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Computational Statistics

May 9, 2010
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Computational Statistics

Do not resort to Monte Carlo methods unnecessarily. When I received this 2009 Springer-Verlag book, Computational Statistics, by James Gentle a while ago, I briefly took a look at the table of contents and decided to have a better look later… Now that I have gone through the whole book, I can write a short

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Bayes vs. SAS

May 6, 2010
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Bayes vs. SAS

Glancing perchance at the back of my Amstat News, I was intrigued by the SAS advertisement Bayesian Methods Specify Bayesian analysis for ANOVA, logistic regression, Poisson regression, accelerated failure time models and Cox regression through the GENMOD, LIFEREG and PHREG procedures. Analyze a wider variety of models with the MCMC procedure, a general purpose Bayesian

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