rejection-sampling
There are 30 repositories under rejection-sampling topic.
TatevKaren/mathematics-statistics-for-data-science
Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.
lxcnju/sampling
Some methods to sampling data points from a given distribution.
mauriciogtec/AdaptiveRejectionSampling.jl
Julia package for fast flexible adaptive rejection sampling for log-concave univariate densities.
MFreidank/ARSpy
Adaptive Rejection Sampling for Python
zziz/mc
Monte Carlo methods with TensorFlow
draktr/monte-library
Monte is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods.
adityagupta1089/Bayesian-networks-inferencing
Implementation of inference techniques like Variable Elimination and Rejection Sampling for Bayesian Networks. (CSL302 IIT Ropar)
guilgautier/PartialRejectionSampling.jl
Some implementations of partial rejection samplers
KarthikRIyer/Computer-Graphics-PrinciplesAndPractice
A C++ and WPF implementation of Computer-Graphics-Principles And Practice by JOHN F. HUGHES, ANDRIES VAN DAM, MORGAN MCGUIRE, DAVID F. SKLAR, JAMES D. FOLEY, STEVEN K. FEINER and KURT AKELEY
bkbilly/bayesian_networks
Implementation for bayesian network
dfirsov/jasmin-zk
We implement the Schnorr proof system in assembler via the Jasmin toolchain, and prove the security (proof-of-knowledge and zero-knowledge) and the absence of leakage through timing side-channels of that implementation in EasyCrypt.
markkukuismin/MCPeSe
Monte Carlo Penalty Selection for graphical lasso
mit-ll/em-pairing-uncor-importancesampling
MATLAB code to generate pairwise, uncorrelated encounters
prdm0/AcceptReject
Acceptance and rejection method
asaelbarilan/Rejection-sampling
python implementation for rejection sampling and importance sampling
JRigh/Acceptance-Rejection-sampling-in-R-and-Python
Acceptance-Rejection sampling with examples in R and Python
nikopetr/Statistical-Simulations-and-Data-Analysis-Project
The programming part for the second assignment of the course DSC 531 - Statistical Simulations and Data Analysis of the University of Cyprus MSc in Data Science programme
sallaben-education/bayesian-inference
A Bayesian network calculator for both exact (enumeration) and approximate inference (rejection sampling, likelihood weighting).
VeaLi/Stats
Poker test for independence, Inversion method, Method of approximations, Rejection method, Quadratic congruent random number generator, Freedman–Diaconis rule, Fixation Index, Extended Haplotype Homozygosity, Wright-Fisher model
chunwangpro/BayesNet_Sampling
Implementation of Prior Sampling, Rejection Sampling, Likelihood Weighting, and Gibbs Sampling for Bayesian Network Stochastic Inference.
elmahsieh/BayeisanNetworkInference
This project implements both exact and approximate inference techniques for Bayesian Networks using enumeration and rejection sampling, respectively. It processes Bayesian Network structures in XMLBIF format, accepting command-line inputs to compute the posterior distribution of a query variable given observed evidence.
ErfanXH/Sampling
Implementation of Prior, Rejection, Likelihood and Gibbs Sampling
invisible0831/AI_projects
Artificial Intelligence Projects - Sharif University of Technology - Fall 2020
slfdstrctd/compstat
Homeworks on "Computational Statistics" course
dfleta/probabilidad-bayes-MIA
Recursos sobre manejo de la incertidumbre y probabilidad por un agente inteligente, módulo de Modelos de Inteligencia Artificial
ericyoc/find_random_point_in_circle_diff_meth_poc
Compares four different methods for generating uniformly distributed random points within a unit circle
mkaramica/SOM_meshGeneration
Implementation of self-organizing maps for mesh generation
nifleisch/approximate-bayesian-computation
Application of rejection sampling and markov chain monte carlo (MCMC) algorithms to approximate bayesian computation (ABC). The project includes application of ABC to model the pharmacokinetics of theophylline.
wmkouw/sample-covariateshift
Sample from synthetic covariate shift problem
zukakosan/sampling_implement
implement sampling methods