Archive for skyline
New York New York [jatp]
Posted in pictures, Travel with tags Jamaica, jatp, JFK, Manhattan, New York city, plane picture, plane trip, Queens, skyline, sunset on April 25, 2022 by xi'an
Wow! [#2]
Posted in Mountains, pictures, Running with tags bad weather, Ben Nevis, Buachaille, Curved Ridge, Devil's Ridge., Glencoe, Highlands, Kilian Jornet, Lochaber, Mamores, Ring of Steall, Salomon, Scotland, skyline, ultratrail on September 17, 2018 by xi'an
Brussels skyline [jatp]
Posted in pictures, Running, Travel, University life with tags architecture, Belgie, Belgique, Belgium, Brussels, Bruxelles, jatp, skyline on March 15, 2018 by xi'an
Bayes is typically wrong…
Posted in pictures, Running, Statistics, Travel, University life with tags Bayesian Fiducial & Frequentist Conference, Bayesian foundations, Boston, Boston harbour, Don Fraser, fiducial inference, Harvard University, matching priors, Nancy Reid, profile likelihood, skyline, sunrise on May 3, 2017 by xi'an
In Harvard, this morning, Don Fraser gave a talk at the Bayesian, Fiducial, and Frequentist conference where he repeated [as shown by the above quote] the rather harsh criticisms on Bayesian inference he published last year in Statistical Science. And which I discussed a few days ago. The “wrongness” of Bayes starts with the completely arbitrary choice of the prior, which Don sees as unacceptable, and then increases because the credible regions are not confident regions, outside natural parameters from exponential families (Welch and Peers, 1963). And one-dimensional parameters using the profile likelihood (although I cannot find a proper definition of what the profile likelihood is in the paper, apparently a plug-in version that is not a genuine likelihood, hence somewhat falling under the same this-is-not-a-true-probability cleaver as the disputed Bayesian approach).
“I expect we’re all missing something, but I do not know what it is.” D.R. Cox, Statistical Science, 1994
And then Nancy Reid delivered a plenary lecture “Are we converging?” on the afternoon that compared most principles (including objective if not subjective Bayes) against different criteria, like consistency, nuisance elimination, calibration, meaning of probability, and so on. In an highly analytic if pessimistic panorama. (The talk should be available on line at some point soon.)
Xi'an's Og 