Posts Tagged ‘ typos ’

Another review of Introducing … R

May 2, 2011
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Another review of Introducing … R

The March 2011 issue of JASA contains a review of Introducing Monte Carlo Methods with R by Hedibert Lopes. As in the previous review, the poor quality of the figures is (rightly) pointed out by Hedie. However, the main message of the review remains very positive and, furthermore, Hedie advertises the ‘Og itself in the

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R-ecap [-16]

March 26, 2011
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R-ecap [-16]

This morning, I noticed that none of my R related posts had appeared on R-bloggers for the past fortnight… After investigating, this was caused by…cut-and-paste! Indeed, when advertising about the special issue of TOMACS Arnaud Doucet and I edit about Monte Carlo methods in Statistics, I copied the main parts from the pdf announcement, straight

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Typos sorted, at last!

March 23, 2011
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Typos sorted, at last!

After posting so many entries about typos in my books (making you wonder how there could be any text left!) and postponing their classification for so long, I decided on Saturday afternoon to collect those entries into a comprehensive pdf document that should be more useful for readers. I incidentally noticed that my book web-page

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cut&paste typo in R book

March 2, 2011
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cut&paste typo in R book

A casualty of cut-and-paste in Chapter 3 of Introducing Monte Carlo Methods with R. Brad McNeney from Simon Fraser sent me a nice email about the end of Example 3.6 missing a marginal estimate. Indeed, it does. And it should have been obvious from the “estimates” we derived, 19 and 16, which are not even

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Introducing Monte Carlo Methods with R [precision]

January 17, 2011
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Introducing Monte Carlo Methods with R [precision]

Doug Rivers, professor of Political Sciences in Stanford, kindly sent me this email yesterday night: The 2nd displayed equation in section 2.1.2 on p. 44 is garbled (it might be interpreted as saying that U and X have the same distribution). I think you intended: And indeed we should have stated the implicit convention that

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Missing reference in Monte Carlo Statistical Methods

January 15, 2011
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Missing reference in Monte Carlo Statistical Methods

A few days ago, Peng Yu sent me this email Dear Prof. Robert, The citation Edwards and Sokal (1988) appears on page 326 of your book MCSM2. However, I don’t find in in the Reference section (it would have appear on page 601 if it is in the reference section). I don’t find this error

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More typos in Chapter 5

December 29, 2010
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More typos in Chapter 5

Following Ashley’s latest comments on Chapter 5 of Introducing Monte Carlo Methods with R, I realised Example 5.5 was totally off-the-mark! Not only the representation of the likelihood should have used prod instead of mean, not only the constant should call the val argument of integrate, not only integrate  uses lower and upper rather than

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Typo in Example 5.18

October 2, 2010
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Typo in Example 5.18

Edward Kao pointed out several typos in Example 5.18 of Monte Carlo Statistical Methods. First, the customers in area i should be double-indexed, i.e. which implies in turn that . Then the summary T should be defined as and as given that the first m customers have the fifth plan missing. Filed under: Books, R,

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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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An obscure integral

April 7, 2010
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An obscure integral

Here is an email from Thomas I received yesterday about a computation in our book Introducing Monte Carlo Methods with R: I’m currently reading your book “Introduction to Monte Carlo Methods with R” and I quite highly appreciate your work. I’m not able to see how the integral on page 74, that describes the marginal

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