Archive for special issue
under the wave of climate change [cover]
Posted in Books, Kids, pictures with tags Birgit Schössow, climate change, cover, Hokusai, Japanese art, Japanese painting, Kanagawa, special issue, The New Yorker, Thirty-six Views of Mount Fuji, ukiyo-e, woodprint on January 26, 2023 by xi'anapproximate Bayesian inference [survey]
Posted in Statistics with tags ABC, Approximate Bayesian computation, Bayesian statistics, CREST, entropy, expectation-propagation, Gibbs posterior, Langevin Monte Carlo, Laplace approximations, machine learning, Markov chain Monte Carlo, MCMC, PAC-Bayes, RIKEN, sequential Monte Carlo, special issue, survey, Tokyo, variational approximations on May 3, 2021 by xi'anIn connection with the special issue of Entropy I mentioned a while ago, Pierre Alquier (formerly of CREST) has written an introduction to the topic of approximate Bayesian inference that is worth advertising (and freely-available as well). Its reference list is particularly relevant. (The deadline for submissions is 21 June,)
special issue of Entropy
Posted in Statistics with tags approximate Bayesian inference, entropy, MDPI, open and free access, publication fees, special issue on September 11, 2020 by xi'anabandon ship [value]!!!
Posted in Books, Statistics, University life with tags Andrew Gelman, hypothesis testing, Nature, p-values, special issue, Statistical decision theory, statistical significance, The American Statistician, threshold, uncertainty quantification on March 22, 2019 by xi'anThe Abandon Statistical Significance paper we wrote with “. A 400 page special issue with 43 papers available on-line and open-source! Food for thought likely to be discussed further here (and elsewhere). The paper and the ideas within have been discussed quite a lot on Andrew’s blog and I will not repeat them here, simply quoting from the conclusion of the paper
In this article, we have proposed to abandon statistical significance and offered recommendations for how this can be implemented in the scientific publication process as well as in statistical decision making more broadly. We reiterate that we have no desire to “ban” p-values or other purely statistical measures. Rather, we believe that such measures should not be thresholded and that, thresholded or not, they should not take priority over the currently subordinate factors.
Which also introduced in a comment by Valentin Amrhein, Sander Greenland, and Blake McShane published in Nature today (and supported by 800+ signatures). Again discussed on Andrew’s blog.