About

I am a professor of Statistics at both Université Paris Dauphine, Paris, France, and University of Warwick, Coventry, United Kingdom, with a definitely unhealthy but so far not fatal) fascination for mountains and (easy) climbing, in particular for Scotland in Winter, an almost-daily run, and a reading list mainly centred at fantasy books… Plus an addiction to bloggin since 2008! Hence the categories on this blog (or ‘og, because ‘log and b’og did not sound good). The Statistics posts does mainly focus on computational and Bayesian topics, on papers or preprints I find of interest (or worth criticising), and on the (not so) occasional trip abroad to a research centre or to a conference.

Needless to say (?), this blog is not approved by, supported by, or in any other way affiliated with the Université Paris Dauphine, CREST-INSEE, Universitty of warwick, or any other organization, and it only reflects my opinions. This is also one of the reasons why it is posted on wordpress rather than on my University webpage, another one being that wordpress provides an handy (if sometimes slow) tool for editing blogs…

21 Responses to “About”

  1. […] and Data Science that posts regularly in the unusually named blog Xi’ an’s OG. Here it is a brief biographical description of the author of this Blog, which sports a somewhat mysterious identity style of […]

  2. Benjamin Zhao Says:

    Hi Xi’an,

    I am wondering why your name coincides with the name of a Chinese city (with a long history)? Is it a coincidence or something deliberate?

    Cheers,
    Benjamin

    • I use this abbreviation to my first name as in the US X’mas is sometimes used to abbreviate Christmas. And the analogy with the historical Chinese city explains for the drift from X’ian to Xi’an.

  3. Hi Xi’an

    I was wondering if you would be willing to do a brief feature of Datazar on your blog. Of course, we would happily return the favor by sending your blog out in our weekly newsletter & on twitter that reaches 5,000+ focused users. Let me know if you would be interested in this and we can set something up.

    Best,
    Brian

  4. Thank you for maintaining a very informative blog. I am student of cognitive science, and I have been learning ABC for modeling driver behaviors in collision imminent situations. I have been, recently, trying to find algorithms that can sample two (or more) parameter values from the priors to apply to one iteration of the model simulation, at different stochastic points in time, to indicate that the outcome behavior (say deceleration applied by the driver) changes over time, maybe as the lead-vehicle in a rear-end collision, applies increasing braking.
    I was curious if you had come across (or develop) some of these ABC algorithms that can change parameter values in one time series. The closest my search took me to was particle MCMC algorithms, and another called ABC simulated likelihood density method.
    Even if you don’t have time to reply, thanks for the amazing knowleddge sharing you facilitate!

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