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Sampler | (Bio)statistics, math, and computer science(Bio)statistics, math, and computer science (by Patrick Schnell)
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An R snippet for eliciting priors via quantiles – Sampler
https://schnellp.wordpress.com/2015/04/28/an-r-snippet-for-eliciting-priors-via-quantiles
Bio)statistics, math, and computer science. An R snippet for eliciting priors via quantiles. April 28, 2015. Params.from.quantiles(q=c(0.01, 0.05), p=c(0.5, 0.99), family=beta) $par a b 1.377637 105.506531 $cdf 0.01 0.05 0.4999679 0.9899850 $family [1] beta. The function is also available as a gist on Github. Parallel Gibbs sampling using conditional independence and graph colorings. A visual guide to the stick-breaking construction of Dirichlet processes. Leave a Reply Cancel reply. You are commenting u...
A visual guide to the stick-breaking construction of Dirichlet processes – Sampler
https://schnellp.wordpress.com/2015/05/31/a-visual-guide-to-the-stick-breaking-construction-of-dirichlet-processes
Bio)statistics, math, and computer science. A visual guide to the stick-breaking construction of Dirichlet processes. May 31, 2015. I’ve seen the stick-breaking construction for Dirichlet processes. Presented several times and read about it in a few places, but what really helped me understand what goes on was visually drawing out the algorithm. Is a distribution of probability distributions with expected value. Controls how discretized the realizations of the processes are. In the limit. Become sufficie...
Adaptive randomization: motivation and issues – Sampler
https://schnellp.wordpress.com/2015/07/31/adaptive-randomization-motivation-and-issues
Bio)statistics, math, and computer science. Adaptive randomization: motivation and issues. July 31, 2015. In Medicine and Public Health. However if there are two treatments and neither is known to be more promising than the other, adaptive randomization (AR) techniques are sometimes used to unbalance the randomization ratio as information about the treatments accumulates. One intuitive Bayesian approach to AR is Thompson sampling. A competing method to AR is the group sequential (GS) trial, which has bal...
Software – Sampler
https://schnellp.wordpress.com/software
Bio)statistics, math, and computer science. Which normal Q-Q plot is of the real data? An R function for finding parameters of normal, beta, and gamma distributions that match a given pair of quantiles. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. Notify me of new comments via email. Derivation...
Derivation of the Brier scoring rule from basic requirements – Sampler
https://schnellp.wordpress.com/2015/06/30/derivation-of-the-brier-scoring-rule-from-basic-requirements
Bio)statistics, math, and computer science. Derivation of the Brier scoring rule from basic requirements. June 30, 2015. The Brier score is a way of quantifying the accuracy of probabilistic forecasts of binary events, for example the statement that there is an 80% chance that it will rain in a certain area tomorrow. The Brier score for. Predictions and events is defined as. Is the predicted probability that an event will occur, and. Is 1 if the event occurs and 0 otherwise. Being the decisions and the.
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Sampler | (Bio)statistics, math, and computer science
Bio)statistics, math, and computer science. Adaptive randomization: motivation and issues. However if there are two treatments and neither is known to be more promising than the other, adaptive randomization (AR) techniques are sometimes used to unbalance the randomization ratio as information about the treatments accumulates. One intuitive Bayesian approach to AR is Thompson sampling. A competing method to AR is the group sequential (GS) trial, which has balanced randomization and stops the trial early ...
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