Results for discrete_distribution

Statistics library in rust

Selecting useful solutions for recombination via fitness proportionate selection

A simple sampling tree implementation for sampling discrete distributions with sparse dynamic updates. This allows us to sample efficiently from a distribution given the relative importance of each datapoint. Construction time is O(n), updating is O(log(n)), and sampling is O(log(n)). The memory footprint is no more than twice the size of `n*std::mem::size_of::<T>()` where `T` is weight datatype.

A tool to generate samples from various random distributions, as a text lines or a binary stream. Includes a general form of Stable distribution.

A compact Rust library for Markov Chain Monte Carlo (MCMC) methods with GPU support.

A compact Rust library for Markov Chain Monte Carlo (MCMC) methods with GPU support.

Parsing dice expressions and evaluating their distribution.

Distributional Gradient Boosting for Location, Scale, and Shape

A Rust library for Bayesian inference with MCMC samplers

Secret sharing schemes like Shamir's, Feldman's, Pedersen's and Publicly Verifiable Secret Sharing scheme and DKGs like Gennaro's and FROST's

Sliced-Wasserstein (SW₁) distance over discrete distributions, with optional vector-index Metric impl.

A fast generator of discrete, bounded Zipf-distributed random numbers