Archive for Andrew Gelman
rigour, imagination and production in London
Posted in Statistics, Travel, University life with tags Alan Turing Institute, Andrew Gelman, black box, Great-Britain, Kings College London, London, paradigm shift, public lecture, Theory and Method Challenge Fortnights 2024 on June 16, 2024 by xi'an
Andrew in a comic pastiche on France Inter
Posted in Books, Kids, Statistics with tags Andrew Gelman, comic show, experimental design, France Inter, radio show on June 3, 2024 by xi'an
Andrew Gelman became a punchline in a France Inter comic interlude where the actor mentioned his being unavailable as the reason for her appearance, as well as a few buzzwords related with Andrew’s research. The whole sequence was a bit heavy handed, with a pastiche of experimental design, but I wonder at how the writer came with this connection to Andrew, unless this was an insider job!
Active Statistics: Stories, Games, Problems, and Hands-on Demonstrations [it’s out now!]
Posted in Books, Kids, pictures, Statistics, University life with tags Aki Vehtari, amazon associates, Andrew Gelman, Cambridge University Press, causal inference, CU, cup, introductory textbooks, regression, teaching statistics, visualization on March 13, 2024 by xi'an
congrats, friends!
Posted in Statistics, University life with tags Andrew Gelman, awards, Canada, COPSS Award, David Cox, Deming Lecture, JSM 2023, Maple, Nancy Reid, Noel Cressie, Ontario, Toronto on September 27, 2023 by xi'an
Congrats to my friends who got academic recognition at JSM last month, among whom Bin Yu for her 2023 COPSS Distinguished Achievement Award and Lectureship, Veronika Rockova for her Emerging Leader Award, Nancy Reid for her David R. Cox Foundations of Statistics Award, Malay Ghosh for his Deming Lecture, Andrew Gelman for his Monroe G. Sirken Award, Noel Cressie for his Outstanding Statistical Application Award, and Peter Bühlmann for his Presidential Address!
Andrew & All about that Bayes!
Posted in Books, Kids, pictures, Statistics, Travel, University life with tags All about that Bayes, Andrew Gelman, Bayesian Analysis, Bayesian robustness, Campus Pierre et Marie Curie, causal inference, Paris, Place Jussieu, seminar, Sorbonne Université on October 6, 2022 by xi'an
Andrew Gelman is giving a talk on 11 October at 2 p.m. in Campus Pierre et Marie Curie (Sorbonne Université), room 16-26-209. He will talk about
Prior distribution for causal inference
In Bayesian inference, we must specify a model for the data (a likelihood) and a model for parameters (a prior). Consider two questions:
- Why is it more complicated to specify the likelihood than the prior?
- In order to specify the prior, how could can we switch between the theoretical literature (invariance, normality assumption, …) and the applied literature (experts elicitation, robustness, …)?
I will discuss those question in the domain of causal inference: prior distributions for causal effects, coefficients of regression and the other parameters in causal models.
