Posts Tagged ‘ Travel ’

a knapsack riddle?

February 12, 2017
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a knapsack riddle?

The [then current now past] riddle of the week is a sort of multiarmed bandits optimisation. Of sorts. Or rather a generalised knapsack problem. The question is about optimising the allocation of 100 undistinguishable units to 10 distinct boxes against a similarly endowed adversary, when the loss function is and the distribution q of the […]

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a Galton-Watson riddle

December 29, 2016
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a Galton-Watson riddle

The Riddler of this week has an extinction riddle which summarises as follows: One observes a population of N individuals, each with a probability of 10⁻⁴ to kill the observer each day. From one day to the next, the population decreases by one individual with probability K√N 10⁻⁴ What is the value of K that […]

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ASA President meets OCCAM data

December 27, 2016
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Just leaving this quote from ASA President Jessica Utts here (Source: Amstat News Dec 2016): A few days ago, I was in Vietnam and took a four-hour bus ride from Ha Long Bay to Hanoi. When I arrived, my fitness tracker had given me credit for taking 9,124 steps and climbing 81 flights of stairs during those four hours, even though I only left my seat once during a short…

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puzzled by harmony [not!]

December 12, 2016
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puzzled by harmony [not!]

In answering yet another question on X validated about the numerical approximation of the marginal likelihood, I suggested using an harmonic mean estimate as a simple but worthless solution based on an MCMC posterior sample. This was on a toy example with a uniform prior on (0,π) and a “likelihood” equal to sin(θ) [really a […]

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postdoc on missing data at École Polytechnique

November 17, 2016
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postdoc on missing data at École Polytechnique

Julie Josse contacted me for advertising a postdoc position at École Polytechnique, in Palaiseau, south of Paris. “The fellowship is focusing on missing data. Interested graduates should apply as early as possible since the position will be filled when a suitable candidate is found. The Centre for Applied Mathematics (CMAP) is  looking for highly motivated […]

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analysing the US election result, from Oxford, England

November 14, 2016
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analysing the US election result, from Oxford, England

Seth Flaxman (Oxford), Dougal J. Sutherland (UCL), Yu-Xiang Wang (CMU), and Yee Whye Teh (Oxford), published on arXiv this morning an analysis of the US election, in what they called most appropriately a post-mortem. Using ecological inference already employed after Obama’s re-election. And producing graphs like the following one:Filed under: pictures, R, Statistics, Travel, University […]

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je reviendrai à Montréal [MCM 2017]

November 2, 2016
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je reviendrai à Montréal [MCM 2017]

Next summer of 2017, the biennial International Conference on Monte Carlo Methods and Applications (MCM) will take place in Montréal, Québec, Canada, on July 3-7. This is a mathematically-oriented meeting that works in alternance with MCqMC and that is “devoted to the study of stochastic simulation and Monte Carlo methods in general, from the theoretical […]

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Denver outspends everyone on this

October 24, 2016
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Denver outspends everyone on this

Someone at the Wall Street Journal noticed that Denver's transit agency has outspent other top transit agencies, after accounting for number of rides -- and by a huge margin. But the accompanying graphic conspires against the journalist. For one thing,...

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Florid’AISTATS

August 30, 2016
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Florid’AISTATS

The next AISTATS conference is taking place in Florida, Fort Lauderdale, on April 20-22. (The website keeps the same address one conference after another, which means all my links to the AISTATS 2016 conference in Cadiz are no longer valid. And that the above sunset from Florida is named… cadiz.jpg!) The deadline for paper submission […]

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Statistical thinking on my subway commute

August 16, 2016
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So I recently moved and needed to find the optimal subway ride up to Columbia. I have been go back and forth between my two choices to collect some data to help make up my mind. Both routes require two train exchanges but only the first leg differs. In other words: Route 1 : A -> B -> C Route 2 : X -> B -> C Here, the "nodes"…

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