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GitHub topics: bayesian-nonparametrics

teobucci/bayesian-statistics-project

Project for the Bayesian Statistics course of the MSc in Mathematical Engineering @ Polimi (A.Y. 2022-2023).

Language: TeX - Size: 83.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 2

salleuska/IRT_nimble_code

Supplementary code to the paper "Computational methods for Bayesian semiparametric Item Response Theory models"

Language: R - Size: 3.89 MB - Last synced at: about 9 hours ago - Pushed at: 3 months ago - Stars: 4 - Forks: 1

NGMLGroup/Bayesian-Nonparametric-Graph-Pooling

Implementation of the BNPool layer and code to reproduce the experiments in "Bayesian Nonparametric GNNs for graph pooling and clustering".

Language: Python - Size: 2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 1

igutierrezm/DPMNeal3.jl

A Julia interface for Dirichlet process mixture (DPM) models using Neal's algorithm 3.

Language: Julia - Size: 256 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

lipovec-t/vi-gaussian-dpm

Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians

Language: Python - Size: 1.72 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Niccolo-Ajroldi/Functional-BNP-clustering

Bayesian nonparametric clustering of functional data.

Language: R - Size: 175 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Keefe-Murphy/IMIFA

Infinite Mixtures of Infinite Factor Analysers

Language: R - Size: 21.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1

apeterson91/rstapDP

Functional Spatial Temporal Aggregated Dirichlet Process Predictors

Language: C++ - Size: 5.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ethanhezhao/DirBN

The code for DirBN in NeurIPS 2018

Language: Matlab - Size: 49.1 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 4

jasa-acs/Bayesian-Semiparametric-Mixed-Effects-Markov-Models-with-Application-to-Vocalization-Syntax

Reproducibility materials for "Bayesian Semiparametric Mixed Effects Markov Models with Application to Vocalization Syntax" by Abhra Sarkar, Jonathan Chabout, Joshua Jones Macopson, Erich D. Jarvis & David B. Dunson

Language: Matlab - Size: 117 KB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

Networks-Learning/hdhp.py

Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017

Language: Python - Size: 43.8 MB - Last synced at: 20 days ago - Pushed at: over 6 years ago - Stars: 36 - Forks: 12

scakc/NPBCL

Bayesian Structure Adaptation for Continual Learning. A non-parametric Bayesian approach on continual learning that learns the sparse deep substructure for each task by selecting weights to be used by the deep neural network.

Language: Python - Size: 43.9 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 3

paidamoyo/survival_cluster_analysis

ACM CHIL 2020: "Survival Cluster Analysis"

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 11

kasia-kobalczyk/invconban

Repository for my research project on Inverse Contextual Bandits

Language: Python - Size: 14.6 KB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

jirotubuyaki/ThunderBayes.jl

A Julia Package for Bayesian Nonparametric Analysis for Machine Learning

Language: Julia - Size: 278 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

jirotubuyaki/ThunderBayesR

An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.

Language: R - Size: 127 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 13 - Forks: 4

jirotubuyaki/predictionio-template-crp-clustering

Apache PredictionIO Template: Bayesian Nonparametric Chinese Restaurant Process Clustering

Language: Scala - Size: 194 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 0

dbernaciak/bayes-np

Bayesian Nonparametrics

Language: Jupyter Notebook - Size: 863 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

jarbel/BNP-MASH

Language: Jupyter Notebook - Size: 19.4 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

laura-dangelo/fCAM_calcium_imaging

Supporting Information for "Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data"

Language: C++ - Size: 545 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Related Keywords
bayesian-nonparametrics 20 bayesian-statistics 6 clustering 6 machine-learning 5 bayesian 4 bayesian-inference 4 clustering-algorithm 3 dirichlet-process 3 dirichlet-process-mixtures 3 bayes 2 bayesian-methods 2 bayesian-nonparametric-methods 2 bayesian-nonparametric-models 2 statistics 2 time-series 1 julia 1 gibbs-sampler 1 deep-learning 1 latent-representations 1 survival-analysis 1 cluster-analysis 1 chinese-restaurant-process 1 time-to-event 1 bayesian-cluster-analysis 1 markov-chain-monte-carlo 1 inverse-reinforcement-learning 1 nested-models 1 calcium-imaging 1 slides 1 practicals 1 grenoble-alpes 1 bayesian-deep-learning 1 statistical-learning 1 scala 1 predictionio 1 nonparametricbayes 1 machine-learning-algorithms 1 simulation 1 r-package 1 r 1 nonparametric 1 data-science 1 data-clustering-algorithm 1 data-analysis 1 crp 1 clustering-methods 1 cluster 1 functional-data-clustering 1 functional-data-analysis 1 variational-inference 1 statistical-signal-processing 1 probabilistic-machine-learning 1 gaussian-mixture-models 1 exponential-family 1 mcmc 1 node-clustering 1 graph-pooling 1 graph-neural-networks 1 graph-classification 1 nimble 1 irt 1 stochastic-block-model 1 split-and-merge-algorithm 1 changepoint-detection 1 bdgraph 1 structural-learning 1 neural-networks 1 model-selection 1 lifelong-learning 1 ibp 1 continual-learning 1 point-processes 1 hawkes 1 mouse-vocalization-experiments 1 mixed-effects-models 1 markov-models 1 categorical-sequences 1 topic-modeling 1 nips-2018 1 built-environment 1 model-based-clustering 1 gaussian-mixture-model 1 factor-analysis 1 dimension-reduction 1