mwc-probability

Sampling function-based probability distributions.
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commit fd3c1a4084d350903ac8ea70d07a28ff0e6771fb
parent 909cb087a030b925403887a7c53c15d559e4fd6a
Author: ocramz <zocca.marco@gmail.com>
Date:   Thu, 10 May 2018 08:20:49 +0200

fix readme

Diffstat:
MREADME.md | 80++++++++++++++++++++++++++++++++++++++++----------------------------------------
1 file changed, 40 insertions(+), 40 deletions(-)

diff --git a/README.md b/README.md @@ -20,55 +20,55 @@ Examples 1. Transform a distribution's support while leaving its density structure invariant: - -- uniform over [0, 1] transformed to uniform over [1, 2] - succ <$> uniform + -- uniform over [0, 1] transformed to uniform over [1, 2] + succ <$> uniform 2. Sequence distributions together using bind: - -- a beta-binomial composite distribution - beta 1 10 >>= binomial 10 + -- a beta-binomial composite distribution + beta 1 10 >>= binomial 10 3. Use do-notation to build complex joint distributions from composable, local conditionals: - hierarchicalModel = do - [c, d, e, f] <- replicateM 4 $ uniformR (1, 10) - a <- gamma c d - b <- gamma e f - p <- beta a b - n <- uniformR (5, 10) - binomial n p + hierarchicalModel = do + [c, d, e, f] <- replicateM 4 $ uniformR (1, 10) + a <- gamma c d + b <- gamma e f + p <- beta a b + n <- uniformR (5, 10) + binomial n p Included probability distributions ------------- -## Continuous - -* Uniform -* Normal -* Log-Normal -* Exponential -* Inverse Gaussian -* Laplace -* Gamma -* Inverse Gamma -* Weibull -* Chi-squared -* Beta -* Student t -* Pareto -* Dirichlet process -* Symmetric Dirichlet process - -## Discrete - -* Discrete uniform -* Zipf-Mandelbrot -* Categorical -* Bernoulli -* Binomial -* Negative Binomial -* Multinomial -* Poisson -\ No newline at end of file +* Continuous + + * Uniform + * Normal + * Log-Normal + * Exponential + * Inverse Gaussian + * Laplace + * Gamma + * Inverse Gamma + * Weibull + * Chi-squared + * Beta + * Student t + * Pareto + * Dirichlet process + * Symmetric Dirichlet process + +* Discrete + + * Discrete uniform + * Zipf-Mandelbrot + * Categorical + * Bernoulli + * Binomial + * Negative Binomial + * Multinomial + * Poisson +\ No newline at end of file