In 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,)
Archive for special issue
approximate 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'anspecial 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'an
abandon 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'an
The 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.
Charlie Hebdo [still running]
Posted in Books, Running with tags Charlie Hebdo, Je suis Charlie, special issue on January 8, 2016 by xi'an
Statistics and Computing special issue on BNP
Posted in Books, Statistics, University life with tags algorithms, call for papers, machine learning, modelling, nonparametric statistics, special issue, Statistics and Computing on June 16, 2015 by xi'an[verbatim from the call for papers:]
Statistics and Computing is preparing a special issue on Bayesian Nonparametrics, for publication by early 2016. We invite researchers to submit manuscripts for publication in the special issue. We expect that the focus theme will increase the visibility and impact of papers in the volume.
By making use of infinite-dimensional mathematical structures, Bayesian nonparametric statistics allows the complexity of a learned model to grow as the size of a data set grows. This flexibility can be particularly suited to modern data sets but can also present a number of computational and modelling challenges. In this special issue, we will showcase novel applications of Bayesian nonparametric models, new computational tools and algorithms for learning these models, and new models for the diverse structures and relations that may be present in data.
To submit to the special issue, please use the Statistics and Computing online submission system. To indicate consideration for the special issue, choose “Special Issue: Bayesian Nonparametrics” as the article type. Papers must be prepared in accordance with the Statistics and Computing journal guidelines.
Papers will go through the usual peer review process. The special issue website will be updated with any relevant deadlines and information.
Deadline for manuscript submission: August 20, 2015
