Archive for sea
Cap Fréhel [jatp]
Posted in pictures, Travel with tags Brittany, Cap Fréhel, Côtes d'Àrmor, Channel, clouds, island, jatp, sea, vacations on May 13, 2021 by xi'anBrittany coast [jatp]
Posted in Statistics with tags Bretagne, Brittany, Cap Fréhel, Côtes d'Àrmor, Channel, Erquy, jatp, Manche, sea on May 12, 2021 by xi'anwhat the whale?! [“whales eat carbon, not fish”]
Posted in Kids, pictures, Travel with tags air pollution, carbon capture, carbon tax, climate change, CO2, France Inter, polluters, sea, UN Environment, United Nations, whales on February 21, 2021 by xi'anHastings at 50, from a Metropolis
Posted in Kids, pictures, Running, Travel with tags 50 miles, 50 years, Bayesian computation, Biometrika, Channel, East Sussex, H.G. Wells, Hastings, Hauts de France, importance sampling, jatp, Le Touquet Paris-Plage, Markov chain Monte Carlo, Metropolis-Hastings, P.G. Wodehouse, Picardy, posterior sampling, rejection sampling, Saint-Valéry-sur-Somme, sea, tempest, William the Conqueror, winter light on January 4, 2020 by xi'anA weekend trip to the quaint seaside city of Le Touquet Paris-Plage, facing the city of Hastings on the other side of the Channel, 50 miles away (and invisible on the pictures!), during and after a storm that made for a fantastic watch from our beach-side rental, if less for running! The town is far from being a metropolis, actually, but it got its added surname “Paris-Plage” from British investors who wanted to attract their countrymen in the late 1800s. The writers H.G. Wells and P.G. Wodehouse lived there for a while. (Another type of tourist, William the Conqueror, left for Hastings in 1066 from a wee farther south, near Saint-Valéry-sur-Somme.)
And the coincidental on-line publication in Biometrika of a 50 year anniversary paper, The Hastings algorithm at fifty by David Dunson and James Johndrow. More of a celebration than a comprehensive review, with focus on scalable MCMC, gradient based algorithms, Hamiltonian Monte Carlo, nonreversible Markov chains, and interesting forays into approximate Bayes. Which makes for a great read for graduate students and seasoned researchers alike!