Read Part V From his page 55 (as before slightly edited for HTML/LaTex): Consider the case of a binary event where the two outcomes are success, S, or failure F and we […]
Bayesian Statistics Ruled Illegal?
Andrew Montford, who runs Bishop Hill blog, had a post titled “IPCC statistics ruled illegal” in which he said, “Bayesian statistics, the approach favoured by the IPCC in its assessments of the […]
Subjective Versus Objective Bayes (Versus Frequentism): Part I
Definitions We first have to define what subjectivity and objectivity are and from these see what happens. For those unused to reading long stretches of prose, here is the conclusion, which will […]
On-Line Statistics Course: Ideas And Your Opinions
We talked about this a couple of months ago, but now the time is nigh to build and create an on-line statistics course, or courses. There are several problems: content, manner of […]
Machine Learning, Big Data, Deep Learning, Data Mining, Statistics, Decision & Risk Analysis, Probability, Fuzzy Logic FAQ
Last Updated 3 December 2012, 7:24 AM EST. What’s the difference between machine learning, deep learning, big data, statistics, decision & risk analysis, probability, fuzzy logic, and all the rest? None, except […]
Observational Bayes > Parametric Bayes > Hypothesis Testing < Looking
This is a completion of the post I started two weeks ago which shows that “predictive” or “observational” Bayes is better than classical, parametric Bayes, which is far superior to frequentist hypothesis […]
Curtis’s The Science Of Subjectivity
An unfocused post today; just some notes on a paper. Busy day for me. Andrew Curtis wrote, “The science of subjectivity” in the January 2012 issue of the journal Geology (sent to […]
The Jeffreys-Lindley Paradox Isn’t
Background A paradox is a mistake in thinking; an artificial, human creation which usually arises because a conclusion which follows from a set of beloved premises is itself unloved. Twitter user @alpheccar […]
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