Archive for Book
objective Bayesian inference now in paperback
Posted in Books, Statistics with tags advertising, amazon associates, Bayesian foundations, Bayesian inference, Book, Dongchu Sun, JASA, Jim Berger, José Miguel Bernardo, noninformative priors, objective Bayes, paperback, publication, reference priors, technology on May 1, 2026 by xi'an
day of the maps
Posted in Books, pictures, Travel with tags Book, Charles Larochette, Gerard Mercator, Jean de Mandeville, Louis Bonnefont, maps, Parenthèses, Robert Louis Stevenson on March 4, 2026 by xi'an
Paul Deheuvels (1948-2026)
Posted in Books, Mountains, University life with tags Bayesian Choice, Bayesian statistics, Book, bouldering, Bourg-la-Reine, climatosceptic, climbing accident, Club de l'Horloge, Economica, empirical process, Fontainebleau, functional estimation, Jussieu, Monsanto, obituary, Paris, Paris 6, Paul Deheuvels, Que sais-je?, The Bayesian Choice, thumb, transgenic corn, UMPC, Université Pierre et Marie Curie on February 5, 2026 by xi'an
I just learned that Paul Deheuvels died last week. He was head of the statistics department at Université Pierre & Marie Curie when I was a lecturer there (1987-1992). And a professor of statistics and probability there for his entire career, from 1974 to 2013. While we were working on completely different topics, and had divergent political views, we kept an amicable connection throughout the years, as we were living close enough to meet once in a while at the local farmers’ market and have a quick chat. When I was considering my options for pursuing a PhD, while writing a Master thesis on commutative Lie algebras with his father, René Deheuvels, he was one of the people who offered to supervise me (on a topic related with empirical processes, which were his forte). Later, he suggested I wrote a very short introduction to Bayesian statistics in the Que sais-je? collection (where he published three books) and, when my manuscript was found too theoretical, he proposed to publish an expanded version in the Economica collection, which ended up being the French version of The Bayesian Choice. I also remember a very kind email he sent me while I was recovering from my climbing accident, in 2013, as a fellow climber. (For a long while, he would drive to Fontainebleau once or twice a week for bouldering.) As alluded (to) above, Deheuvels’ political views were very conservative, with a proximity to the far-right Club de l’Horloge and a mix of vieille France traditionalism and libertarianism positions. For sure, he never was shy from embarking in controversies, from defending Allègre’s climato-scepticism to backing Séralini’s controversial study on the cancerogenic effects of Mosanto’s transgenic maize.
What the …?!
Posted in Books, Statistics with tags 1990, Amazon, Bayesian inference, Book, copyright, Gibbs sampling, JASA, Journal of the American Statistical Association, MCMC, scam on May 3, 2020 by xi'an
a new method to solve the transformation of calculus
Posted in Statistics with tags Book, calculus, mail of the day, mass emailing, noise and no signal, simulation, spam on December 23, 2018 by xi'an
An hilariously ridiculous email I just received (warning: book cover unrelated):
Good day! this is very important to the “Mathematics” and the related fields,
“The Simulator”,“Probability theory”,”Statistics”,”Numerical Analysis”,
“Cryptography”,“Data mining”,“The big data analysis”and“Artificial Intelligence”.
The transformation of random variables in Calculus is very difficult and sometimes
is impossible to be done. The simulator can get the accuracy and precise simulated data
and the database could be the probability distributution if the data size is 100,000,000
or more. The probabilistic model can be designed and getting the probability distribution
and the coefficient using the simulator.(1)“The Simulator” has four methods,
1) the basic method is the inverse function of the distribution function,
2) the transformation method to get the simulated data,
3) the numerical analysis method to build the simulated database,
4) the simulated database and the estimated line of random variable to get the simulated data.
(2) “Probability Theory” can use the simulator to a tool.
(3) ”Statistics”, the sampling distribution of the point estimator and the test statistic
can be seen as the transformation equation and the critical point and p value is from
the sampling distribution.
(4) ”Numerical Analysis”, the simulator data can overcome the limit of numerical analysis,
the number of random variables could be more 10000.
(5) “Cryptography”, the simulator of the probabilistic model will derive the lock code
which cannot be unlocked.
(6) “Data mining”, the data set can be a specific probability distribution using
“goodness of fit” or “Curve-fitting” or “Curvilinear”.
1) “goodness of fit”, there are 45 distributions for the null hypothesis.
2) “Curve-fitting”, the estimated line of random variable and the estimated line
of the distribution function.
3) “Curvilinear”, the data set is not arithmetic series.
(7) “The big data analysis”, the number of random variables could be more 10000
about the simulator of the probabilistic model.
(8) “Artificial Intelligence”, the model after analysis can be the transformation
equation, the simulator of the probabilistic model can get the simulated data.The first book name is “The simulator” will be public, the context contains
(1) The simulation methods,
(2)“Probability Theory”,
(3) ”Statistics” and how to write the statistical package even the population is not
Normal distribution or a special statistical model.
(4)“Cryptography”,
(5)“Explored the arithmetic data”,
