I used to have a solution with Stylish, but it broke in Firefox 57 (Firefox Quantum). Here is a solution which works now, for anyone else with the same issue.
/* AGENT_SHEET */ @namespace xul url(http://www.mozilla.org/keymaster/gatekeeper/there.is.only.xul); #btTooltip, #un-toolbar-tooltip, #tooltip, .tooltip, #aHTMLTooltip, #urlTooltip, tooltip, #aHTMLTooltip, #urlTooltip, #brief-tooltip, #btTooltipTextBox, #un-toolbar-tooltip { color:#FFFFFF !important; }
I am not an expert at these things; if this does not work for you, I won’t be able to help you any better than Google.
I used the following sites to find this solution:
]]>See the detailed announcement.
Deadline for application is 23 August.
]]>However, candidates must first go through the national “qualification”. This process should not be problematic, but is held much earlier in the year: you need to sign up by 25 October (next week!), then send some documents by December. Unfortunately, the committee cannot consider applications from candidates who do not hold the “qualification”.
If you need help with the process, feel free to contact me.
]]>My first foray into Statistics was an analysis of Cox models I did for my undegraduate thesis at ENS in 2005. I had no idea back then that David Cox was still alive and active; in my mind, he was a historical figure, on par with other great mathematicians who gave their names to objects of study — Euler, Galois, Lebesgue…
When I arrived at Oxford a few months later, I was amazed to meet him, and to see that he was still very active, both as a researcher and as the organizer of events for doctoral students.
David Cox is the perfect choice as the first person to receive this prize. I hope that the inauguration of this prize will help show the public that Statistics require complex and innovative methods, that have been tackled by some exceptional minds, and should not be seen as a “sub-science” compared to other more “noble” sciences.
]]>I am organizing a session on Wednesday morning on Advances in Monte Carlo motivated by applications; I’m looking forward to hearing the talks of Alexis Muir-Watt, Simon Barthelmé, Lawrence Murray and Rémi Bardenet during that session, as well as the rest of the very strong programme.
I’ll also be part of the jury for the best poster prize; there are many promising abstracts.
]]>Nils Lid Hjort gave a lecture on his “confidence distributions”, a way to represent uncertainty in the non-Bayesian framework. Although he gave examples where his representation seems to work best, I wondered how this could extend to cases where the parameter is not unidimensional.
Chris Yau received the 2010 Corcoran prize and gave a short talk on applications of HMMs togenetic data; he was unlucky to have his 15-minute talk interrupted by a fire alarm (but that allowed me to wonder at how calmly efficient the British are at evacuating in such situations). Luckily, my own talk suffered no such interruption.
Peter Donnelly demonstrated once again his amazing lecturing skills, with a highly informative talk on statistical inference of the history of the UK using genetic data.
All in all, a very enjoyable afternoon, which was followed by a lovely dinner at Somerville College, with several speeches on the past, present and future of Statistics at Oxford.
Thanks again to the Corcoran committe, especially Steffen Lauritzen, for selecting me as the prize winner!
]]>In particular, I’ll keep posting in English for anything related to my research topics.
]]>If I had a dime for every time my wife threatened to divorce me during the past three years, I would be wealthy and not have to take a postdoctoral position which will only make me a little less poor and will keep me away from home and in the lab even more than graduate school and all because my committee read this manuscript and said that the only alternative to signing the approval to this dissertation was to give me a job mowing the grass on campus but the Physical Plant would not hire me on account of they said I was over-educated and needed to improve my dexterity skills like picking my nose while driving a tractor-mower over poor defenseless squirrels that were eating the nuts they stole from the medical students’ lunches on Tuesday afternoon following the Biochemistry quiz which they all did not pass and blamed on me because they said a tutor was supposed to come with a 30-day money-back guarantee and I am supposed to thank someone for all this?!!
(From a UMI press release, quoted in The Whole Library Handbook 2, 1995)
Source: Futility Closet via Arthur Charpentier.
]]>A few months ago, I might have written
$\lambda/\mu=\kappa/\nu \Rightarrow \exists \Theta,\forall i, \sum_{j\in\mathbb{N}} E[D_{i,j}]=\Theta$
to display
.
Now, to type the same equation, my LaTeX source code looks like this:
$λ/μ=κ/ν ⇒ ∃Θ,∀i, ∑_{j∈ℕ} E[D_{i,j}]=Θ$
which produces exactly the same output. The source code is much easier to read; it is also slightly easier to type. Here is how the magic works:
\usepackage[utf8x]{inputenc} \usepackage{amssymb}
\input{greektex.tex}
This is useful for LaTeX, but also for all other places where you might want to type math: thanks to this .XCompose file, typing math in a blog post, tweet or e-mail becomes easy (for example, this is the last blog post where I will use WordPress’ $latex syntax). And if there ever is a LaTeX formula that you cannot access from your keyboard, you can use a website such as unicodeit.net which converts LaTeX source code to unicode.
I originally heard about this on Christopher Olah‘s blog.
]]>
I know several colleagues whose official position is that if the report is handed in late, the student fails the course. This is fine if the report is very late, but it seems a bit drastic for a small delay (e.g. a few minutes!). The problem of course is to define very and small in the previous sentence. And even if you decide that the course is failed for students who are more than (say) 24 hours late, it seems a bit unfair to have such a big difference between being 23 hours 59 minutes late and 24 hours 1 minute…
This time, I am using a continuous decreasing function as penalty: I told the students that
“Your report should be sent by e-mail by 2 April 2013 at noon. In case of a late submission, your grade will be multiplied by exp(-0.001 ⋅ t³ /86400³ ) where t is the number of seconds between the deadline and your submission.”
This basically means that they can be 2 days late for free. If a student has a legitimate reason for being late, they will usually manage to fit in that window, so they do not need to explain their lateness. Being 4 days late knocks off 6% of the grade; being a week late knocks off 30%. A student more than 8.8 days late loses 50% of their grade, meaning the course is necessarily failed, even if the report is perfect.
In this case, the last student to hand in his work was about 3.5 days late, meaning the mark will be multiplied by 0.953.
I quite like this system, although I think it was a bit too generous with this exact implementation. I cannot claim to have invented it; I read about it somewhere else, with a different penalty function, but cannot find where.
Edit: Thanks to Mahendra for the original post: here, on the Messy Matters blog.
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