The statistician, econometrician, macro- and micro-economist, Edmond Malinvaud died on Saturday, March 7. He had been director of my alma mater ENSAE (1962–1966), directeur de la Prévision at the Finance Department (1972–1974), director of INSEE (1974–1987), and Professeur at Collège de France (1988–1993). While primarily an economist, with his theories of disequilibrium and unemployment, reflected in his famous book Théorie macro-économique (1981) that he taught us at ENSAE, he was also instrumental in shaping the French econometrics school, see his equally famous Statistical Methods of Econometrics (1970), and in the reorganisation of INSEE as the post-war State census and economic planning tool. He was also an honorary Fellow of the Royal Statistical Society and the 1981 president of the International Institute of Statistics. Edmond Malinvaud studied under Maurice Allais, Nobel Prize in economics in 1988, and was himself considered as a potential Nobel for several years. My personal memories of him at ENSAE and CREST are of a very clear teacher and of a kind and considerate man, with the reserve and style of a now-bygone era…
Archive for ENSAE
There is an opening at the Statistics School ENSAE for a Statistics associate or full professor position, starting on September 2015. Currently located on the South-West boundary of Paris, the school is soon to move to the mega-campus of Paris Saclay, near École Polytechnique, along with a dozen other schools. See this description of the position. The deadline is very close, March 23!
A few days ago, I was grading my last set of homeworks for the MCMC graduate course I teach to both Dauphine and ENSAE graduate students. A few students had chosen to write a travelling salesman simulated annealing code (Exercice 7.22 in Monte Carlo Statistical Methods) and one of them included this quote
“And when I saw that, I realized that selling was the greatest career a man could want. ‘Cause what could be more satisfying than to be able to go, at the age of eighty-four, into twenty or thirty different cities, and pick up a phone, and be remembered and loved and helped by so many different people ?”
Arthur Miller, Death of a Salesman
which was a first!
An email from one of my Master students who sent his problem sheet (taken from Monte Carlo Statistical Methods) late:
Je « suis » votre cours du mercredi dont le formalisme mathématique me fait froid partout
Avec beaucoup de difficulté je vous envoie mes exercices du premier chapitre de votre livre.
which translates as
Good evening Professor,
I “follow” your Wednesday class which mathematical formalism makes me cold all over. With much hardship, I send you the first batch of problems from your book.
I know that winter is coming, but, still, making students shudder from mathematical cold is not my primary goal when teaching Monte Carlo methods!
On December 4-5, Université Paris-Dauphine will host the 6th French Econometric Conference, which celebrates Christian Gouriéroux and his contributions to econometrics. (Christian was my statistics professor during my graduate years at ENSAE and then Head of CREST when I joined this research unit, first as a PhD student and later as Head of the statistics group. And he has always been a tremendous support for me.)
Not only is the program quite impressive, with co-authors of Christian Gouriéroux and a few Nobel laureates (if not the latest, Jean Tirole, who taught economics at ENSAE when I was a student there), but registration is free. I will most definitely attend the talks, as I am in Paris-Dauphine at this time of year (the week before NIPS). In particular, looking forward to Gallant’s views on Bayesian statistics.
Here is a call from ENSAE about two positions in statistics/machine learning, starting next semester:
ENSAE ParisTech and CREST is currently inviting applications for one position at the level associate or full professor from outstanding candidates having demonstrated abilities in both research and teaching. We are interested in candidates with a Ph.D. in Statistics or Machine Learning (or related field) whose research interests are in high dimensional statistical inference, learning theory or statistics of networks.
The appointment could begin as soon as September 1, 2014. The position is for an initial three-year term, with a possible renewal option in case of positive evaluation of research and teaching activities. Salary for suitably qualified applicants is competitive and commensurate with experience. The deadline for application is May 19, 2014. Full details are given here for the first position and there for the second position.