Archive for killer robot

the rising [book review]

Posted in Statistics with tags , , , , , , , , , , on June 23, 2021 by xi'an

When I received this second volume of the Alchemy Wars, the rising, it was most fortunately a weekend, and I devoured it within the two days! As hinted at by the title, hence not truly a spoiler!, this book ends up with the rise of the robots, thanks to the main characters already there in the first volume, Jax (reXened Daniel) the freed robot, Bérénice [missing her acute accents] the French master spy (code name Talleyrand), and Longchamp the charismatic commander of the Montréal (renamed Marseille-in-the-West) fortress. While the author seems to have invested more in the language of the Dutch Empire than in the one of the remaining French exiled to Québec, I did not spot crimes de lèse majesté on my native language (except for the above accents). A mystery remains though as to how, when crossing the Atlantic ocean, fugitives end up in Honfleur, east Normandy, and far inside the Channel. Returning to the plot per se, while its pace is breathless, with the revolutions of the characters’ paths bringing them into predictable contacts, and the dialogues are still great, the recourse to a hidden subterranean complex irked me as usual, while the repeated escapes of Bérénice from certain death, capture, brainwash, are just too much, even with the help of dei ex machina. This second volume is also less into pondering the meaning of free will and freedom, even though the sad discovery by Jax (sorry, Daniel!) of Neverland being somewhat a mirror of Netherlands is well-thought. Now waiting for the last volume and another free wekend (or a trip to Marseille!).

computational statistics and molecular simulation [18w5023]

Posted in Books, Kids, pictures, Statistics, Travel, University life with tags , , , , , , , , , , , , , , , , , , , , , , , , , on November 15, 2018 by xi'an

 I truly missed the gist of the first talk of the Wednesday morning of our X fertilisation workshop by Jianfeng Lu partly due to notations, although the topic very much correlated to my interests like path sampling, with an augmented version of HMC using an auxiliary indicator. And mentions made of BAOAB. Next, Marcello Pereyra spoke about Bayesian image analysis, with the difficulty of setting a prior on an image. In case of astronomical images there are motivations for an L¹ penalisation sparse prior. Sampling is an issue. Moreau-Yoshida proximal optimisation is used instead, in connection with our MCMC survey published in Stats & Computing two years ago. Transferability was a new concept for me, as introduced by Kerrie Mengersen (QUT), to extrapolate an estimated model to another system without using the posterior as a prior. With a great interlude about the crown of thorns starfish killer robot! Rather a prior determination based on historical data, in connection with recent (2018) Technometrics and Bayesian Analysis papers towards rejecting non-plausible priors. Without reading the papers (!), and before discussing the matter with Kerrie, here or in Marseille, I wonder at which level of precision this can be conducted. The use of summary statistics for prior calibration gave the approach an ABC flavour.

The hand-on session was Jonathan Mattingly’s discussion of gerrymandering reflecting on his experience at court! Hard to beat for an engaging talk reaching between communities. As it happens I discussed the original paper last year. Of course it was much more exciting to listen to Jonathan explaining his vision of the problem! Too bad I “had” to leave before the end for a [most enjoyable] rock climbing afternoon… To be continued at the dinner table! (Plus we got the complete explanation of the term gerrymandering, including this salamander rendering of the first identified as gerrymandered district!)