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dustintran.com | ||
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deepai.org
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| | | | | Bayesian inference refers to the application of Bayes' Theorem in determining the updated probability of a hypothesis given new information. | |
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667-per-cm.net
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| | | | | This post could also be subtitled "Residual deviance isn't the whole story." My favorite book on logistic regression is by Dr Joseph Hilbe, Logistic Regression Models, CRC Press, 2009, Chapman & Hill. It is a solidly frequentist text, but its discussion of models and rich examples make that besides the point. Except in one case.... | |
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blog.apaonline.org
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| | | | | "[C]onfusion about the foundations of the subject is responsible, in my opinion, for much of the misuse of the statistics that one meets in fields of application such as medicine, psychology, sociology, economics, and so forth." (George Barnard 1985, p. 2) "Relevant clarifications of the nature and roles of statistical evidence in scientific research may | |
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www.paepper.com
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| | | As a developer, you are often asked how long it will take to program a certain module or feature for some software project. This can be annoying at times, so let's make it more fun! In this post, we are going to use a data science approach to get up with better estimates. The whole post will be covered by simple Python code, which you can easily use for your own estimates. | ||
