Read this article on Mark Girolami (Warwick), now Lloyd’s Register Foundation / Royal Academy of Engineering Research Chair in Data Centric Engineering, who is starting a new project on the monitoring of the first 3D-printed bridge, soon to be installed in Amsterdam, by creating a virtual twin, fed by sensors from the real bridge, in order to check for safety and integrity. I like this notion of data-centric engineering! (Which sounds like the revenge of the statistician, at least in the ancient era of French engineering schools, when statistics was not considered a part of engineering.)
Archive for Mark Girolami
would you walk this bridge with Mark?!
Posted in Statistics with tags 3D printer, Amsterdam, bridges, data-centric engineering, Lloyd's, Mark Girolami on May 1, 2018 by xi'anlecturer position in Data Centric Engineering and Statistics, Imperial College London
Posted in pictures, Statistics, Travel, University life with tags academic position, Britain, Engineering, England, Imperial College London, lecturer, London, Mark Girolami, position, South Kensington, UK on April 2, 2018 by xi'an
My friend and Warwick colleague Mark Girolami sent me this announcement for a permanent Lecturer position at Imperial [College London], funded by his recent research chair by the Royal Academy of Engineering (congrats, Mark!). Deadline is April 13, so hurry up!!!
plenary talks at JSM 2017 in Baltimore
Posted in Statistics with tags Abraham Wald, Baltimore, Bernstein-von Mises theorem, Emmanuel Candés, IMS, IMS Medallion, JSM 2017, Judith Rousseau, Mark Girolami, Maryland, probabilistic numerics on May 25, 2017 by xi'an
Bayesian computation: a summary of the current state, and samples backwards and forwards
Posted in Books, Statistics, University life with tags 25th anniversary, Bayesian computation, computational statistics, David Hand, Gilles Celeux, Mark Girolami, Monte Carlo Statistical Methods, open access, Statistics & Computing on June 25, 2015 by xi'an“The Statistics and Computing journal gratefully acknowledges the contributions for this special issue, celebrating 25 years of publication. In the past 25 years, the journal has published innovative, distinguished research by leading scholars and professionals. Papers have been read by thousands of researchers world-wide, demonstrating the global importance of this field. The Statistics and Computing journal looks forward to many more years of exciting research as the field continues to expand.” Mark Girolami, Editor in Chief for The Statistics and Computing journal
Our joint [Peter Green, Krzysztof Łatuszyński, Marcelo Pereyra, and myself] review [open access!] on the important features of Bayesian computation has already appeared in the special 25th anniversary issue of Statistics & Computing! Along with the following papers
- Statistics and computing: the genesis of data science, David J. Hand, Founding Editor
- EM for mixtures: Initialization requires special care, Jean-Patrick Baudry, Gilles Celeux
- Sequential Monte Carlo methods for Bayesian elliptic inverse problems, Alexandros Beskos, Ajay Jasra, Ege A. Muzaffer, Andrew M. Stuart
- Bayesian inference via projections, Ricardo Silva, Alfredo Kalaitzis
- Computing functions of random variables via reproducing kernel Hilbert space representations, Bernhard Schölkopf, Krikamol Muandet, Kenji Fukumizu, Stefan Harmeling, Jonas Peters
- The Poisson transform for unnormalised statistical models, Simon Barthelmé, Nicolas Chopin
- Scalable estimation strategies based on stochastic approximations: classical results and new insights, Panos Toulis, Edoardo M. Airoldi
- de Finetti Priors using Markov chain Monte Carlo computations, Sergio Bacallado, Persi Diaconis, Susan Holmes
- Simulation-efficient shortest probability intervals, Ying Liu, Andrew Gelman, Tian Zheng
- Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters, Christian Hennig, Chien-Ju Lin
which means very good company, indeed! And happy B’day to Statistics & Computing!
a week in Warwick
Posted in Books, Kids, Running, Statistics, University life with tags Birmingham, control variate, Coventry, English train, goose, London Midlands, Mark Girolami, Nicolas Chopin, particle MCMC, simulation model, taxi-driver, Tony O'Hagan, University of Warwick on October 19, 2014 by xi'an
This past week in Warwick has been quite enjoyable and profitable, from staying once again in a math house, to taking advantage of the new bike, to having several long discussions on several prospective and exciting projects, to meeting with some of the new postdocs and visitors, to attending Tony O’Hagan’s talk on “wrong models”. And then having Simo Särkkä who was visiting Warwick this week discussing his paper with me. And Chris Oates doing the same with his recent arXival with Mark Girolami and Nicolas Chopin (soon to be commented, of course!). And managing to run in dry conditions despite the heavy rains (but in pitch dark as sunrise is now quite late, with the help of a headlamp and the beauty of a countryside starry sky). I also evaluated several students’ projects, two of which led me to wonder when using RJMCMC was appropriate in comparing two models. In addition, I also eloped one evening to visit old (1977!) friends in Northern Birmingham, despite fairly dire London Midlands performances between Coventry and Birmingham New Street, the only redeeming feature being that the connecting train there was also late by one hour! (Not mentioning the weirdest taxi-driver ever on my way back, trying to get my opinion on whether or not he should have an affair… which at least kept me awake the whole trip!) Definitely looking forward my next trip there at the end of November.
A heap of PhD studentships at UCL
Posted in R, Statistics, University life with tags fMRI, London, machine learning, Mark Girolami, Monte Carlo Statistical Methods, PhD position, Riemann manifold, UCL, University College London on June 22, 2011 by xi'anMark Girolami sent me this announcement for six PhD studentships in Statistical Methodology and Its Application at University College London (UCL) that are great opportunities for anyone interested in computational statistics!
The studentships are attached to the Department of Statistical Science at University College London, and a subset of them are UCL Impact awards. Impact awards support collaborative studentship projects with organisations such as charities, companies, government institutions and social enterprises. The impact awards are joint with Lloyds bank, Xerox Research Centre Europe, and NCR Labs, respectively. Continue reading
Riemann, Hamilton, Lagrange and others
Posted in Statistics, Travel, University life with tags Errol Street, French hospita, French hospital, Hamiltonian Monte Carlo, London, Mark Girolami, MCMC algorithms, Monte Carlo methods, Read paper, Royal Statistical Society on October 14, 2010 by xi'an
Today, I took part in the Read Paper session of the Royal Statistical Society, first by presenting an overview of MCMC methods, second by giving a short discussion on the paper by Mark Girolami and Ben Calderhead. The pre-ordinary as well as the ordinary sessions were very well-attended and it is a real pity that this was the first instance I attended when the talk was not given in the main lecture room. (Which, sadly enough, was already booked.) Instead, the meeting took place in the twice-as-small Council room which means people had to remain standing for the whole session… Anyhow, Mark Girolami gave two great talks where the geometric intuition was predominant. The following 13 oral discussions were quite diverse, from machine learning to Bayesian model choice, to infinite dimensional simulation and I am convinced the written discussion will be even richer. (Discussions have to be sent before October 27.) Here are my own slides focussing on the discretisation issue.
