Tags » Bayesian

Falsificationist Bayesianism?

The following are my thoughts on the paper “Beyond subjective and objective in statistics” by Gelman & Hennig (JRSS A, 2017), which was read at an… 530 more words


Recently Published Article – "When Do Mountain Whitefish (Prosopium williamsoni) Spawn? A Comparison of Estimates Based on Gonadosomatic Indices and Spawner and Egg Counts''

Journal: The Open Fish Science Journal

Author(s): Robyn L. Irvine, Joseph L. Thorley, Louise Porto


Determining when fish spawn has major implications for effective fisheries management, particularly in dam-controlled rivers where reproductive potential may be affected by an altered hydrograph. 215 more words

Bentham Open

Dataviz of the week, 12/4/17

This week, a chart with some Bayesian polemic behind it. Alexander Etz put this on Twitter:

He is working on an R package to provide… 200 more words


Making Neural Networks Bayesian

Deep neural networks trained with stochastic gradient descent are a fantastic machine learning algorithm that have achieved best in class performance for many of the most challenging machine learning problem, notably image and speech recognition. 1,460 more words


The Carter Catastrophe

I’ve been reading Manifold: Time by Stephen Baxter. The book is quite good so far, and it presents a fascinating probabilistic argument that humans will go extinct in the near future. 933 more words


The irrelevance of inference: (almost) 20 years on is it still irrelevant?

The Irrelevance of Inference was a seminal paper published by Karl Claxton in 1999. In it he outlines a stochastic decision making approach to the evaluation of health technologies. 766 more words

Economic Evaluation