Archive for the Running Category

walking the PCT

Posted in Books, Kids, Mountains, pictures, Running, Travel with tags , , , , , , on August 29, 2015 by xi'an

The last book I read in the hospital was wild, by Cheryl Strayed, which was about walking the Pacific Crest Trail (PCT) as a regenerating experience. The book was turned into a movie this year. I did not like the book very much and did not try to watch the film, but when I realised my vacation rental would bring me a dozen miles from the PCT, I planned a day hike along this mythical trail… Especially since my daughter had dreams of hiking the trail one day. (Not realising at the time that Cheryl Strayed had not come that far north, but had stopped at the border between Oregon and Washington.OLYMPUS DIGITAL CAMERA)

The hike was really great, staying on a high ridge for most of the time and offering 360⁰ views of the Eastern North Cascades (as well as forest fire smoke clouds in the distance…) Walking on the trail was very smooth as it was wide enough, with a limited gradient and hardly anyone around. Actually, we felt like intruding tourists on the trail, with our light backpacks, since the few hikers we crossed were long-distance hikers, “doing” the trail with sometimes backpacks that looked as heavy as Strayed’s original “Monster”. And sometimes with incredibly light ones. A great specificity of those people is that they all were more than ready to share their experiences and goals, with no complaint about the hardship of being on the trail for several months! And sounding more sorry than eager to reach the Canadian border and the end of the PCT in a few more dozen miles… For instance, a solitary female hiker told us of her plans to get back to the section near Lake Chelan she had missed the week before due to threatening forest fires. A great entry to the PCT, with the dream of walking a larger portion in an undefined future…

Blue Lake

Posted in Mountains, pictures, Running, Travel with tags , , , , on August 25, 2015 by xi'an

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a glimpse of Mt. Rainier

Posted in Mountains, pictures, Running, Travel with tags , , , , , on August 20, 2015 by xi'an

Seattle street art

Posted in Kids, pictures, Running, Travel, Wines with tags , , , , on August 19, 2015 by xi'an

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Seattle snapshot [#2]

Posted in pictures, Running, Travel with tags , , , on August 18, 2015 by xi'an

Seattle snapshot [#1]

Posted in pictures, Running, Travel with tags , , , on August 14, 2015 by xi'an

JSM 2015 [day #4]

Posted in pictures, Running, Statistics, Travel, University life with tags , , , , , , , , , , , , , , , , , , on August 13, 2015 by xi'an

My first session today was Markov Chain Monte Carlo for Contemporary Statistical Applications with a heap of interesting directions in MCMC research! Now, without any possible bias (!), I would definitely nominate Murray Pollock (incidentally from Warwick) as the winner for best slides, funniest presentation, and most enjoyable accent! More seriously, the scalable Langevin algorithm he developed with Paul Fearnhead, Adam Johansen, and Gareth Roberts, is quite impressive in avoiding computing costly likelihoods. With of course caveats on which targets it applies to. Murali Haran showed a new proposal to handle high dimension random effect models by a projection trick that reduces the dimension. Natesh Pillai introduced us (or at least me!) to a spectral clustering that allowed for an automated partition of the target space, itself the starting point to his parallel MCMC algorithm. Quite exciting, even though I do not perceive partitions as an ideal solution to this problem. The final talk in the session was Galin Jones’ presentation of consistency results and conditions for multivariate quantities which is a surprisingly unexplored domain. MCMC is still alive and running!

The second MCMC session of the morning, Monte Carlo Methods Facing New Challenges in Statistics and Science, was equally diverse, with Lynn Kuo’s talk on the HAWK approach, where we discovered that harmonic mean estimators are still in use, e.g., in MrBayes software employed in phylogenetic inference. The proposal to replace this awful estimator that should never be seen again (!) was rather closely related to an earlier solution of us for marginal likelihood approximation, based there on a partition of the whole space rather than an HPD region in our case… Then, Michael Betancourt brilliantly acted as a proxy for Andrew to present the STAN language, with a flashy trailer he most recently designed. Featuring Andrew as the sole actor. And with great arguments for using it, including the potential to run expectation propagation (as a way of life). In fine, Faming Liang proposed a bootstrap subsampling version of the Metropolis-Hastings algorithm, where the likelihood acknowledging the resulting bias in the limiting distribution.

My first afternoon session was another entry on Statistical Phylogenetics, somewhat continued from yesterday’s session. Making me realised I had not seen a single talk on ABC for the entire meeting! The issues discussed in the session were linked with aligning sequences and comparing  many trees. Again in settings where likelihoods can be computed more or less explicitly. Without any expertise in the matter, I wondered at a construction that would turn all trees, like  into realizations of a continuous model. For instance by growing one branch at a time while removing the MRCA root… And maybe using a particle like method to grow trees. As an aside, Vladimir Minin told me yesterday night about genetic mutations that could switch on and off phenotypes repeatedly across generations… For instance  the ability to glow in the dark for species of deep sea fish.

When stating that I did not see a single talk about ABC, I omitted Steve Fienberg’s Fisher Lecture R.A. Fisher and the Statistical ABCs, keeping the morceau de choix for the end! Even though of course Steve did not mention the algorithm! A was for asymptotics, or ancilarity, B for Bayesian (or biducial??), C for causation (or cuffiency???)… Among other germs, I appreciated that Steve mentioned my great-grand father Darmois in connection with exponential families! And the connection with Jon Wellner’s LeCam Lecture from a few days ago. And reminding us that Savage was a Fisher lecturer himself. And that Fisher introduced fiducial distributions quite early. And for defending the Bayesian perspective. Steve also set some challenges like asymptotics for networks, Bayesian model assessment (I liked the notion of stepping out of the model), and randomization when experimenting with networks. And for big data issues. And for personalized medicine, building on his cancer treatment. No trace of the ABC algorithm, obviously, but a wonderful Fisher’s lecture, also most obviously!! Bravo, Steve, keep thriving!!!

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