Archive for typo
a minor typo, from 1986
Posted in Books, pictures, Statistics, University life with tags Bible, course, example, Luc Devroye, Monte Carlo course, multivariate Cauchy distribution, Non-Uniform Random Variate Generation, random number generation, reference, simulation, slides, typo on December 2, 2024 by xi'an
wrong algebra for slice sampler
Posted in Books, Kids, R, Statistics with tags cross validated, George Casella, Introducing Monte Carlo Methods with R, Japanese translation, LaTeX, logistic regression, lost in translation, Pratique R, R, slice sampler, Springer-Verlag, typo, Use R on January 27, 2021 by xi'an
Once more, and thrice alas!, I became aware of a typo in our “Use R!” book through a question on X validated from a reader unable to reproduce the slice of a basic 2D slice sampler for a logistic regression with coefficients (a,b). Indeed, our slice reads as the incorrect set (missing the i=1,…,n)
when it should have been
which is the version I found in my LaTeX file. So I do not know what happened (unless I corrected the LaTeX file at a later date and cannot remember it, but the latest chance on the file reads October 2011…). Fortunately, the resulting slices in a and b and the following R code remain correct. Unfortunately, both French and Japanese translations reproduce the mistake…
oops…!
Posted in Statistics with tags Assemblée générale de l’ONU, China, Cold War, Donald Trump, Human Rights, Liberation, typo, UN General Assembly, United Nations, USA, Xi Jinping on September 22, 2020 by xi'an
a most inappropriate typo!
Posted in Statistics with tags book review, Journal of Cognitive Pyschology, the the, typo on March 29, 2020 by xi'an
mea culpa!
Posted in Books, Kids, R, Statistics, University life with tags Bayesian Analysis, Bayesian Core, Bayesian Essentials with R, Book, cross validated, Gaussian model, typo on October 9, 2017 by xi'an
An entry about our Bayesian Essentials book on X validated alerted me to a typo in the derivation of the Gaussian posterior..! When deriving the posterior (which was left as an exercise in the Bayesian Core), I just forgot the term expressing the divergence between the prior mean and the sample mean. Mea culpa!!!
