The Sudoku puzzle in this Sunday edition of Le Monde was horrendously difficult, so after spending one hour with only 4 entries filled, I decided to feed it to the simulated annealing R program I wrote while visiting SAMSI last year. The R program reached the exact (and only) solution in ...
Following my three-fold R exam of last month, I had a depressing afternoon meeting (with other faculty members) some students who had submitted R codes that were suspiciously close to other submitted R codes… In other words, it looked very likely they had cheated. (A long-term issue with my R ... [Read more...]
Upon request by the blog administrator, Tal Galili, I have joined R-bloggers, which aggregate blog entries about R into a central place. I feel I have much more to learn than to teach about R (as can be seen from earlier comments on my R programs in Introducing Monte Carlo ... [Read more...]
Springer Verlag has just posted on its webpage both the student and the instructor solution manuals to “Introducing Monte Carlo Methods with R”. Yes, both! Before you rush there, the Catch-22 in this announcement is that the access to the instructor version is restricted to registered instructors. So, if you ...
Thomas Clerc from Fribourg pointed out an embarassing typo in Chapter 8 of “Introducing Monte Carlo Methods with R”, namely that I defined on page 247 the complex number as the squared root of 1 and not of -1! Not that this impacts much on the remainder of the book but still an ... [Read more...]
Simply to mention a minor change made in the prog4.R code for Bayesian Core. Nothing life-threatening, mind you!, just a
term replacing a
Filed under: Books, R, Statistics Tagged: Bayesian Core, R, R code, typo
In case you did not read all the slides of Regis Lebrun’s talk on pseudo-random generators I posted yesterday, one result from Marsaglia’s (in a 1968 PNAS paper) exhibited my ignorance during Regis’ Big’ MC seminar on Thursday. Marsaglia indeed showed that all multiplicative congruential generators
lie on a ... [Read more...]
Two very interesting talks at the Big’ MC seminar on Thursday:
– Phylogenetic models and MCMC methods for the reconstruction of language history by Robin Ryder
– Uniform and non-uniform random generators by Régis Lebrun
which are both on topics close to my interest, evolution of languages (I’ll be a ... [Read more...]
I just got this email (yes, in French) looking for a Bayesian ready to work on algorithms:
Dans le cadre de la société Vekia, nous recherchons un Docteur en statistiques bayésiennes pour un poste sur Lille à pourvoir dès que possible.
Vekia est un éditeur de logiciel pour ... [Read more...]
I received this announcement about two incoming courses given in København by Andrew Lawson:
1) “*An Introduction to Bayesian Disease Mapping*”
A Two-Day Course, April 12.- 13. 2010, University of Southern Denmark
This course is designed to provide an introduction to the area of Bayesian disease mapping in applications to Public Health ... [Read more...]
Just a reminder that I will teach a very short course on March 17 in San Antonio, Texas, based on our “Introducing Monte Carlo Methods with R” book, in the first day of the meeting Frontiers of Statistical Decision Making and Bayesian Analysis, in honour of Jim Berger, There still are ... [Read more...]
After the complete solution manual for Bayesian Core, the solution manual for the odd numbered exercises of “Introducing Monte Carlo Methods with R” is now arXived. The fuller 133 page version for instructors is available from Springer Verlag by demand only, in order to keep the appeal of the book as ...
Phew!, we are now done with the solution manual in the sense that we have compiled solutions for all odd-numberedd exercises (but one!) and solved a fair number of even-numbered exercises. As it stands, the manual is 120 pages long and I am exhausted by the run to produce it over ...
Over the weekend and during the R exams, I managed to complete the solution set for Chapters 6 and 7 of “Introducing Monte Carlo Methods with R”. Chapter 6 only exhibited a few typos, despite me covering most exercises in Chapter 6, hence the merging of both chapters.
– in Exercise 6.13, both and [...]
After writing the solutions to the odd-numbered exercises in Chapter 5 of “Introducing Monte Carlo Methods with R”., I alas found the following typos, two of which are rather major (Exercise 5.3 and Example 5.16). I apologise to the readers these typos may confuse.
– Exercise 5.3 has no simple encompassing set and the constraint ...
As posted yesterday, today was the day of my Exploratory Statistics exam, turned into 3 R exams because of the lack of terminals for the students to work on. (We tried to encourage students to use their own laptop but less than twenty registered…) If you happen to be interested in ... [Read more...]
Chapter 4 of “Introducing Monte Carlo Methods with R” has four typos (so far) in the exercises:
– In Exercise 4.5, the should not be in bold fonts (!)
– In Exercise 4.9, I commented too many lines when revising and thus the variance terms vanished. It should read
– In Exercise 4.13, following the removal of [...]
Here are two more typos in the exercises of Chapter 3 of “Introducing Monte Carlo Methods with R”.
– due to the (later) inclusion of an extra-exercise in the book, the “above exercise” in Exercise 3.5 actually means Exercise 3.3.
– in Exercise 3.11, question c, a line got commented by mistake in the LaTeX file ...
When grading homeworks for my Monte Carlo graduate class, I found that my students had pointed out two typos in the exercises of Chapter 2 of “Introducing Monte Carlo Methods with R”.
– In Exercise 2.17, question d. should be “d. Show that the maximum of is attained at .“
– In Exercise 2.21, in item [...]
When looking around on Amazon, I found that “Introducing Monte Carlo Methods with R” was associated with another very recently published (same day as ours!) book, “Understanding Computational Bayesian Statistics“, by William Bolstad, that seems to mostly cover the same ground as us (with some connections with Bayesian Core for ...