Archive for Scholarly Open Access

faster HMC by learning

Posted in Books, Kids, Statistics, University life with tags , , , , , , , , , , , , , , , , , , on September 23, 2026 by xi'an

Just received the good news that our paper Faster Hamiltonian Monte Carlo by Learning Leapfrog Scale by Wu Changye (吴昌烨), Pierre Pudlo, Julien Stoehr and myself, got accepted in Statistics & Computing! This is great in its own, but further concludes a story that started with Changye’s PhD thesis at Paris Dauphine in 2018, with a revision request from Statistics & Computing that stalled with Changye’s departing for industry in Shanghai and eventually resumed thanks to Julien’s massive investment in coding and improving the learning mechanism. It may also conclude my story with Statistics & Computing, where I am supposed to be the historically most prolific author (?), given the move by Springer to a cash-flow model on 01 January, 2027…

arbitrary non-constant function [nonsensical]

Posted in Statistics with tags , , , , , , , , , , , on November 6, 2020 by xi'an
When looking for properties of the negative exponential distribution, in connection with an X validated question, I came across this nonsensical paper, starting with a truncated and drifted exponential distribution being defined as a negative exponential distribution, including a nonsensical bound a in (1.1), followed by an equally nonsensical characterisation of the distribution, including a theorem with a useless function Φ… Unsurprisingly, the publisher (SCIRP) of the Open Journal of Statistics is part of Beall’s list of potential, possible, or probable] predatory publishers. (List that is now maintained by Scholarly Open Access.)