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GitHub topics: gibbs-sampler

joewandy/hlda

Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model

Language: Python - Size: 3.51 MB - Last synced at: 21 days ago - Pushed at: 2 months ago - Stars: 153 - Forks: 39

scollinselliott/eratosthenes

Archaeological Synchronism

Language: R - Size: 402 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 7 - Forks: 0

tohtsky/myFM

A Python/C++ implementation of Bayesian Factorization Machines

Language: C++ - Size: 1.45 MB - Last synced at: 12 days ago - Pushed at: about 2 months ago - Stars: 55 - Forks: 14

anki005/Biology-Meets-Programming-Bioinformatics-for-Beginners

Solutions for Biology Meets Programming: Bioinformatics for Begineers course in Coursera

Language: Python - Size: 2.58 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

tienmt/betaregbayes

betaregbayes: Bayesian sparse Beta regression for bounded response with Horseshoe prior via Gibbs sampler.

Language: R - Size: 15.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Silbena/GibbsSampler

Gibbs Sampler for a simple mortgage model.

Language: Jupyter Notebook - Size: 1.74 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

cainmagi/Literature-inspections

The inspections on some important literatures, mainly including codes.

Size: 10.7 KB - Last synced at: 5 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

RonsenbergVI/trendpy 📦

Bayesian trend filtering micro library. http://trendpy.readthedocs.io/en/latest/

Language: Jupyter Notebook - Size: 1.06 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 1

jiewenTsai/ExtendedRtIrtModeling.jl

Extended Response Time Item Response Models with Polya-Gamma Sampler and Bayesian Quantile Regression.

Language: Julia - Size: 1.64 MB - Last synced at: about 13 hours ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0

mr-easy/Gibbs-Sampling-Visualized

Visualization of Gibbs sampling for 2D Gaussian distribution

Language: Jupyter Notebook - Size: 48.7 MB - Last synced at: 6 days ago - Pushed at: about 5 years ago - Stars: 25 - Forks: 15

abmantz/lrgs

Code to perform multivariate linear regression using Gibbs sampling

Language: Jupyter Notebook - Size: 499 KB - Last synced at: about 1 hour ago - Pushed at: over 3 years ago - Stars: 20 - Forks: 4

tmsalab/dina

Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.

Language: C++ - Size: 104 KB - Last synced at: 25 days ago - Pushed at: about 5 years ago - Stars: 14 - Forks: 5

maksymshylo/statistical_methods

Labs for University course

Language: Python - Size: 9.33 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

nabilalibou/brain_source_localization

Localization of brain sources measured by EEG using 3 approaches: Gibbs sampler (Markov chain Monte Carlo algorithm), Minimum Norm Estimates (MNE) and Source Imaging based on Structured Sparsity (SISSY)

Language: MATLAB - Size: 17.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

mukeshmk/statistical-modelling

statistical modelling of the wine data-set available at https://www.kaggle.com/zynicide/wine-reviews

Language: R - Size: 46.7 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

Jonghyun-Yun/LSA

Latent space competing risk model for response and response time analysis

Language: R - Size: 1.05 GB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

souheib1/Deep-Latent-Variable-Models-exact-conditional-likelihood

Missing data imputation using the exact conditional likelihood of DLVM

Language: Python - Size: 84.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tanyakuznetsova/Image-Restoration-with-Gibbs-sampler

Reconstructing a black and white Japanese woodblock print using Bayesian inference

Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ylefay/hw_bayesian_gibbs_sampler

Project done as part of the course on Bayesian Statistics, Anna Simoni. Implementation of a block Gibbs sampler.

Language: Jupyter Notebook - Size: 1.32 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Niccolo-Ajroldi/Functional-BNP-clustering

Bayesian nonparametric clustering of functional data.

Language: R - Size: 175 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

annapoorna-a-k/MOTIF-DISCOVERY_GIBBS-SAMPLER-using-python

Motif Finding using Gibbs Sampler

Language: Python - Size: 6.84 KB - Last synced at: 7 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1

anaranya99/BAYESIAN-ANALYSIS

Instructed by : Prof. Manisha Pal. A repository created with the practical problems on Bayesian computing and some advance computing related to MCMC, Metropolis etc.

Language: R - Size: 748 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

sho-kawano/gibbs_sampler

Rmarkdowns with code & commentary on implementing my first gibbs sampler.

Language: HTML - Size: 336 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

efmanu/GibbsSampler.jl

Package to do Bayesian inference with Gibbs sampler

Language: Julia - Size: 569 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

rodolformelo/Metropolis-Hastings-Algorithm

In the first semester of my MSc. studies, we developed a phyton version of the Gibbs Sampler and Metropolis-Hastings Algorithm from the scratch. We described our results and analysis in a report.

Language: Python - Size: 1.22 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

hillarykoch/ptgibbs.jl 📦

Language: Julia - Size: 86.9 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

christophvoe/Bayesian_regression_analyses_NBA_data

Bayesian Regression Analyses from scratch - NBA data example

Language: R - Size: 6.31 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

mkacki98/clustering-with-Bayesian-mixtures Fork of samsamiczy/clustering-with-Bayesian-mixtures

Gibbs sampler (MCMC) and Bayesian Mixture Models applied to cluster analysis of breast tumours.

Language: Jupyter Notebook - Size: 4.36 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

kzhai/PyLDA

A Latent Dirichlet Allocation implementation in Python.

Language: Python - Size: 72.9 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 52 - Forks: 22

KenHBS/LDA_thesis

Hierarchical, multi-label topic modelling with LDA

Language: Python - Size: 40.5 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 50 - Forks: 17

christiando/SGPD_Inference

Libary for SGPD (Sigmoidal Gaussian Process Density) inference

Language: Python - Size: 32.2 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

ArminKaramzade/Gibbs-Ising

Generating samples from Ising model.

Language: Python - Size: 5.86 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 1

adimajo/glmdisc_python

glmdisc Python package: discretization, factor level grouping, interaction discovery for logistic regression

Language: Python - Size: 5.92 MB - Last synced at: 14 days ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 1

Samuel-col/cppProjects

Here you can find several cpp projects i've done while im learning this programming language.

Language: C++ - Size: 113 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

lgaborini/bayessource

R package bayessource: marginal likelihood and Bayes Factor computation for samples from Multivariate Gaussians

Language: R - Size: 3.29 MB - Last synced at: 5 days ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Helga-Helga/consistency-constraints-recognition

Laboratory works on the Consistency Constraint Recognition course. Contains black and white image denoising with maximal flow algorithm and grayscale image denoising with an alpha-expansion algorithm

Language: Python - Size: 140 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Helga-Helga/statistical-recognition-methods

Statistical Recognition Methods home tasks

Language: Rust - Size: 546 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

James-Montgomery/romus

A fun package for exploring conjugate models and gibbs samplers.

Language: Jupyter Notebook - Size: 392 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

arendsee/cuda-gibbs-example

Implementation of a Gibbs-Metropolis sampling algorithm in CUDA

Language: Cuda - Size: 78.1 KB - Last synced at: about 1 year ago - Pushed at: over 8 years ago - Stars: 2 - Forks: 3

tmsalab/fourPNO

Estimate Barton & Lord's (1981) <doi:10.1002/j.2333-8504.1981.tb01255.x> four parameter IRT model with lower and upper asymptotes using Bayesian formulation described by Culpepper (2016) <doi:10.1007/s11336-015-9477-6>.

Language: C++ - Size: 92.8 KB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 1

Pingxia/Image-denoise-and-segmentation

CS5340

Language: Python - Size: 11.8 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

alumbreras/DP-GMM

R implementation of the Dirichlet Process Gaussian Mixture Model (with MCMC)

Language: R - Size: 3.88 MB - Last synced at: almost 2 years ago - Pushed at: over 9 years ago - Stars: 4 - Forks: 0

v-iashin/GibbsSampler

Sample points on a disk with radius r that no two points is closer to each other than d

Language: R - Size: 552 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

compops/panel-dpm2016

Approximate Bayesian inference for mixed effects models with heterogeneity

Language: R - Size: 36.8 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

pnpnpn/gimsan-py

GIMSAN: motif-finder with biologically realistic and reliable statistical significance analysis

Language: C - Size: 1.49 MB - Last synced at: almost 2 years ago - Pushed at: over 9 years ago - Stars: 0 - Forks: 0

GarrettMooney/polyglot_gibbs_sampler

Gibbs sampler in C, Python, Node.js, Julia, and R

Language: R - Size: 3.91 KB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

Related Keywords
gibbs-sampler 46 gibbs-sampling 13 mcmc 8 bayesian-inference 8 python 6 r 6 mcmc-sampler 5 gibbs-sampling-algorithm 5 bayesian 5 metropolis-hastings 5 item-response-theory 4 rcpp 3 julia 3 bayesian-statistics 3 machine-learning-algorithms 3 machine-learning 3 variational-inference 3 clustering 3 statistics 2 irt 2 julia-language 2 topic-modeling 2 latent-dirichlet-allocation 2 natural-language-processing 2 em-algorithm 2 gibbs 2 posterior-predictive 2 monte-carlo 2 sampling 2 bioinformatics 2 lda 2 image-denoising 2 armadillo 2 motif-discovery 2 rstats 2 rcpparmadillo 2 gaussian-processes 1 density-estimation 1 multilabel-multiclass 1 topic-models 1 nlp 1 ising-model 1 categorical-features 1 mixed-effects 1 probabilistic-models 1 sports-analytics 1 nba-stats 1 parallel-computing 1 constrained-sampling 1 metropolis-hastings-algorithm 1 no-u-turn-sampler 1 julia-package 1 nodejs 1 motif-finding 1 functional-data-clustering 1 functional-data-analysis 1 dirichlet-process-mixtures 1 numba 1 dp-gmm 1 dirichlet-process 1 panel-data 1 cognitive-diagnostic-models 1 gpu-computing 1 cuda 1 sparseness-priors 1 modeling 1 computational-biology 1 perceptron-learning-algorithm 1 perceptron 1 line-recognition 1 integral-image 1 expectation-maximization-algorithm 1 classification 1 motif-analysis 1 motifs 1 maxflow 1 transcription-factor-binding 1 c 1 javascript 1 marginal-likelihood 1 likelihood-ratios 1 bayes-factors 1 learning 1 cpp 1 algebra 1 logistic-regression 1 interactions 1 node 1 discretization 1 bayesian-nonparametrics 1 gaussian 1 response-time 1 quantile-regression 1 polyagamma 1 trend-filtering 1 stochastic-optimization 1 optimization-algorithms 1 optimization 1 neural-network 1 monte-carlo-simulation 1