GitHub topics: bayesian-inference
tpapp/LogDensityProblems.jl
A common framework for implementing and using log densities for inference.
Language: Julia - Size: 1.18 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 41 - Forks: 9
m-clark/bayesian-basics
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
Language: Stan - Size: 93 MB - Last synced at: about 1 hour ago - Pushed at: over 3 years ago - Stars: 85 - Forks: 26
danheck/metaBMA
Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis
Language: R - Size: 9.93 MB - Last synced at: about 8 hours ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 2
AnotherSamWilson/ParBayesianOptimization
Parallelizable Bayesian Optimization in R
Language: R - Size: 2.6 MB - Last synced at: 24 days ago - Pushed at: over 2 years ago - Stars: 110 - Forks: 20
Gerardo1909/Estat_e_inferencia_UNSAM
Ejercicios computacionales para la materia "Estadística e Inferencia 1" de la Licenciatura en Ciencia de Datos (UNSAM). 2C-2024
Language: Jupyter Notebook - Size: 8.16 MB - Last synced at: 18 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
ComputationalPsychiatry/pyhgf
PyHGF: A neural network library for predictive coding
Language: Python - Size: 961 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 74 - Forks: 21
tpapp/TransformVariables.jl
Transformations to contrained variables from ℝⁿ.
Language: Julia - Size: 1.69 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 67 - Forks: 15
jecampagne/cours_mallat_cdf
Lecture notes of Professor Stéphane Mallat - Collège de France - Paris
Language: Jupyter Notebook - Size: 193 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 26 - Forks: 0
friedmanroy/friedmanroy.github.io
Roy Friedman's home site and blog
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bambinos/kulprit
Kullback-Leibler projections for Bayesian model selection in Python
Language: Python - Size: 4.85 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 34 - Forks: 5
Eawag-SIAM/SimulatedAnnealingABC.jl
Approximate Bayesian Computation algorithm based on simulated annealing
Language: Julia - Size: 3.52 MB - Last synced at: 17 days ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0
brendanhasz/probflow
A Python package for building Bayesian models with TensorFlow or PyTorch
Language: Python - Size: 3.23 MB - Last synced at: 29 days ago - Pushed at: almost 3 years ago - Stars: 174 - Forks: 16
fehiepsi/rethinking-pyro
Statistical Rethinking with PyTorch and Pyro
Language: Jupyter Notebook - Size: 64.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 163 - Forks: 36
GeoscienceAustralia/HiQGA.jl
High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data
Language: Julia - Size: 88.5 MB - Last synced at: 28 days ago - Pushed at: 29 days ago - Stars: 41 - Forks: 6
FertigLab/CoGAPS
Bayesian MCMC matrix factorization algorithm
Language: C++ - Size: 250 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 69 - Forks: 17
DOI-USGS/geobipy
Geophysical Bayesian Inference in Python. Docs:
Language: Python - Size: 269 MB - Last synced at: 24 days ago - Pushed at: 3 months ago - Stars: 83 - Forks: 19
acerbilab/normalizing-flow-regression
Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations
Language: Jupyter Notebook - Size: 8.44 MB - Last synced at: about 20 hours ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0
pierrePalud/beetroots
Beetroots (BayEsian invErsion with spaTial Regularization of nOisy multi-line ObservaTion mapS) is a Python package that performs Bayesian inference with the sampling algorithm described in (Palud et al., 2023).
Language: Python - Size: 44 MB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 9 - Forks: 2
mschauer/ZigZagBoomerang.jl
Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection
Language: Julia - Size: 37.4 MB - Last synced at: 5 days ago - Pushed at: almost 3 years ago - Stars: 103 - Forks: 7
ngalioto/bside
Bayesian system identification toolbox
Language: Python - Size: 720 KB - Last synced at: 6 days ago - Pushed at: 2 months ago - Stars: 4 - Forks: 0
bayesml/BayesML
Your first library for Bayesian machine learning
Language: Python - Size: 8.62 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 8 - Forks: 1
elfi-dev/elfi
ELFI - Engine for Likelihood-Free Inference
Language: Python - Size: 2.15 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 274 - Forks: 62
christophmark/bayesloop
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
Language: Python - Size: 11.1 MB - Last synced at: 22 days ago - Pushed at: about 1 year ago - Stars: 163 - Forks: 28
jeff-regier/Celeste.jl
Scalable inference for a generative model of astronomical images
Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 185 - Forks: 28
SciML/DiffEqBayes.jl
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
Language: Julia - Size: 41.5 MB - Last synced at: 5 days ago - Pushed at: 12 days ago - Stars: 124 - Forks: 29
Tuebel/BayesianPoseEstimation.jl Fork of rwth-irt/BayesianPoseEstimation.jl
6D pose estimation using sampling-based Bayesian inference algorithms. Produced the results of Tim Redick's dissertation.
Language: Julia - Size: 5.9 MB - Last synced at: 2 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
ReactiveBayes/BipartiteFactorGraphs.jl
A Julia package for working with bipartite factor graphs
Language: Julia - Size: 516 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
oliviergimenez/bayesian-cr-workshop
Material for a workshop on Bayesian analysis of capture-recapture data with hidden Markov models and Nimble
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elizavetasemenova/prob-epi
Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
Language: Jupyter Notebook - Size: 24.6 MB - Last synced at: 22 days ago - Pushed at: 4 months ago - Stars: 64 - Forks: 24
lbelzile/MATH80601A
Course notes for "Bayesian modelling" (MATH80601A)
Language: TeX - Size: 236 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
Tuebel/SciGL.jl Fork of rwth-irt/SciGL.jl
Efficient rendering in OpenGL and CUDA interop for julia
Language: Julia - Size: 598 KB - Last synced at: 2 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Najmuddin557/Predictive_Neural_Network
Research and develop artificial neural networks capable of making accurate predictions about future events based on past data patterns.
Size: 5.86 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
ericmjl/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
Language: Jupyter Notebook - Size: 126 MB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 557 - Forks: 111
BayesianRL/NonparametricVI.jl
Particle-based and nonparametric variational methods for approximate Bayesian inference and Probabilistic Programming
Language: Julia - Size: 13.1 MB - Last synced at: 29 days ago - Pushed at: 2 months ago - Stars: 14 - Forks: 0
MFreidank/pysgmcmc
Bayesian Deep Learning with Stochastic Gradient MCMC Methods
Language: Python - Size: 12.1 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 39 - Forks: 8
JuliaGaussianProcesses/TemporalGPs.jl
Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html
Language: Julia - Size: 3.68 MB - Last synced at: 24 days ago - Pushed at: 3 months ago - Stars: 119 - Forks: 5
minaskar/zeus
⚡️ zeus: Lightning Fast MCMC ⚡️
Language: Python - Size: 197 MB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 235 - Forks: 33
BaM-tools/RBaM
An R user interface to BaM
Language: R - Size: 9.55 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 1
chto/linna
Likelihood Inference Neural Network Accelerator
Language: Python - Size: 3.41 MB - Last synced at: 19 days ago - Pushed at: about 2 months ago - Stars: 7 - Forks: 2
ComputationalPsychiatry/HierarchicalGaussianFiltering.jl
The Julia implementation of the generalised hierarchical Gaussian filter
Language: Julia - Size: 11 MB - Last synced at: 14 days ago - Pushed at: 15 days ago - Stars: 32 - Forks: 11
lucadellalib/bayestorch
Lightweight Bayesian deep learning library for fast prototyping based on PyTorch
Language: Python - Size: 104 KB - Last synced at: about 19 hours ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 0
awslabs/fortuna 📦
A Library for Uncertainty Quantification.
Language: Python - Size: 4.56 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 913 - Forks: 48
TommasoRonconi/galapy
Spectral modelling tool for galaxies in python
Language: Python - Size: 198 MB - Last synced at: 11 days ago - Pushed at: 7 months ago - Stars: 9 - Forks: 1
pankajchejara23/eduflex-prototype
Bayesian modeling of students' mathematics skills
Language: HTML - Size: 6.25 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
NormAN-framework/base-model
First implementation of NormAN, an agent-based framework for normative argument exchange across networks.
Language: NetLogo - Size: 102 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 1
aidinattar/AS4PA
Exercises of the course of Advanced-Statistics
Language: R - Size: 22.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
mauroflorez/BMGM
An R package for Bayesian inference on graphical models with mixed data types (continuous, discrete, categorical, and zero-inflated)
Language: R - Size: 469 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
jwatowatson/PLATCOV-SAP
Statistical analysis of the PLATCOV trial
Language: R - Size: 129 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
franzmohr/bvartools
Functions for Bayesian inference of vector autoregressive and vector error correction models
Language: R - Size: 31.1 MB - Last synced at: 26 days ago - Pushed at: 9 months ago - Stars: 34 - Forks: 11
alessiospuriomancini/cosmopower
Machine Learning - accelerated Bayesian inference
Language: Jupyter Notebook - Size: 140 MB - Last synced at: 24 days ago - Pushed at: 6 months ago - Stars: 68 - Forks: 29
billyvinning/compound-poisson-gamma.numpyro
Parameter estimation for the Compound Poisson Gamma (Tweedie) distribution in NumPyro
Language: Python - Size: 13.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Red-Portal/MCMCTesting.jl
Hypothesis Tests for Validating MCMC Kernels
Language: Julia - Size: 805 KB - Last synced at: 20 days ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 0
akpanitorobong/7089CEM-Statistical_Methods_For_Data_Science
CW Code and Dataset for SMDS module at Coventry University. Applied Nonlinear Regression and Bayesian Inference techniques to analyze MEG brain responses from a simulated neuromarketing experiment. The project demonstrates proficiency in modeling complex biological signals and estimating parameter uncertainty using Approximate Bayesian Computation
Language: Jupyter Notebook - Size: 2.14 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
dm13450/dirichletprocess
Build dirichletprocess objects for data analysis
Language: R - Size: 10.1 MB - Last synced at: 7 days ago - Pushed at: almost 2 years ago - Stars: 59 - Forks: 15
JuliaGaussianProcesses/Stheno.jl
Probabilistic Programming with Gaussian processes in Julia
Language: Julia - Size: 294 MB - Last synced at: 14 days ago - Pushed at: 3 months ago - Stars: 345 - Forks: 26
RoryQo/Study-Method
Using monte carlo sampling the probability that study method A is worse than B given the data
Language: R - Size: 377 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0
sandialabs/pytuq
Python Toolkit for Uncertainty Quantification
Language: Python - Size: 6.45 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 0
ilanaliouchouche/Bayesian-Active-Learning-Interface-for-Medical-Imaging
This project aims to integrate Domain Knowledge with Bayesian Deep Learning through an intuitive Active Learning interface
Language: JavaScript - Size: 96 MB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 11 - Forks: 0
brmather/pycurious
Python package for computing the Curie depth from the magnetic anomaly
Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: 1 day ago - Pushed at: about 3 years ago - Stars: 42 - Forks: 19
tingiskhan/pyfilter 📦
Particle filtering and sequential parameter inference in Python
Language: Python - Size: 30.5 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 81 - Forks: 17
ksachdeva/rethinking-tensorflow-probability
Statistical Rethinking (2nd Ed) with Tensorflow Probability
Language: Jupyter Notebook - Size: 321 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 270 - Forks: 50
jeremiecoullon/SGMCMCJax
Lightweight library of stochastic gradient MCMC algorithms written in JAX.
Language: Python - Size: 1.37 MB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 103 - Forks: 9
gerberlab/mitre
The Microbiome Interpretable Temporal Rule Engine
Language: Python - Size: 52.7 MB - Last synced at: 1 day ago - Pushed at: about 4 years ago - Stars: 47 - Forks: 4
jdhuang-csm/hybrid-drt
Probabilistic electrochemical analysis with the distribution of relaxation times (DRT)
Language: Python - Size: 17.9 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 13 - Forks: 2
bsvars/bsvars
Bayesian Estimation of Structural Vector Autoregressive Models
Language: R - Size: 44.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 49 - Forks: 10
nshen7/decemedip
An R package for deconvoluting cell types in bulk-tissue/cell-free MeDIP-seq data leveraging a Bayesian hierarchical model. Depends on RStan.
Language: C++ - Size: 70.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
EmanuelSommer/sampled-approx-posteriors
Code for the FPI @ ICLR (2025, oral) & AABI 2025 workshop paper: Approximate Posteriors in Neural Networks: A Sampling Perspective
Language: Python - Size: 37.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
GrainLearning/grainLearning
A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials, developed by various projects of the University of Twente (NL), the Netherlands eScience Center (NL), University of Newcastle (AU), and Hiroshima University (JP).
Language: Jupyter Notebook - Size: 135 MB - Last synced at: 1 day ago - Pushed at: about 1 month ago - Stars: 11 - Forks: 1
junpenglao/GLMM-in-Python
Generalized linear mixed-effect model in Python
Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: about 2 months ago - Pushed at: almost 7 years ago - Stars: 178 - Forks: 47
Mathepia/awesome-sciml
Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included.
Language: JavaScript - Size: 1.56 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 1
nicolasperea1105/handcrafted-bayesian-stock-predictor
Forecasting retail inventory with handcrafted MCMC, PyMC, and traditional regression models — full pipeline from cleaning to deployment-ready output.
Language: Python - Size: 1.68 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
JBris/stan-cmdstanr-docker
A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling
Language: Dockerfile - Size: 33.2 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 18 - Forks: 5
kach/acting-as-inverse-inverse-planning
Code for our SIGGRAPH 2023 paper, "Acting as Inverse Inverse Planning"
Language: Jupyter Notebook - Size: 683 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 18 - Forks: 2
jlepird/prefeR
A Bayesian algorithm for pairwise preference elicitation
Language: R - Size: 1.26 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
theogf/BayesianQuadrature.jl
Is there anything we can't make Bayesian?
Language: Julia - Size: 339 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 0
gleday/beam
Fast Bayesian Inference in Large Graphical Models
Language: R - Size: 312 KB - Last synced at: about 10 hours ago - Pushed at: 2 months ago - Stars: 0 - Forks: 1
PeterSchuld/UCSanDiego_MicroMasters_DataScience-ProbabilityandStatistics
The University of California, San Diego, course DSE210x "Probability and Statistics in Data Science using Python" (Winter 2018): Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Part 2 of »Data Science« MicroMasters® on edX, Instructors: Alon Orlitsky and Yoav Freund, Professors of CS and Engineering, University of California San Diego.
Language: Jupyter Notebook - Size: 970 KB - Last synced at: 4 days ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 1
NoemiAM/mist
Tests for model misspecification in simulation-based inference: from local distortions to global model checks. Code repository associated with https://arxiv.org/abs/2412.15100.
Language: Jupyter Notebook - Size: 16.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
bat/MGVI.jl
Metric Gaussian Variational Inference
Language: Julia - Size: 41.3 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 8 - Forks: 2
avehtari/BDA_R_demos
Bayesian Data Analysis demos for R
Language: HTML - Size: 190 MB - Last synced at: 25 days ago - Pushed at: 8 months ago - Stars: 573 - Forks: 206
AVoss84/bayes-anomaly
A Python library for explainable Bayesian Anomaly Detection
Language: Jupyter Notebook - Size: 4.17 MB - Last synced at: 11 days ago - Pushed at: 2 months ago - Stars: 9 - Forks: 1
RoryQo/Age-Correlation-in-Married-Couples-Bayesian-Analysis-Challenge
Using age data from 100 sampled U.S. married couples, hypothesize a semiconjugate prior, generate a predictive data set to confirm the hypothesis, and use Markov Chain Monte Carlo (MCMC) approximation for mean ages and correlation coefficient.
Language: R - Size: 1.16 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 6 - Forks: 0
RoryQo/Mice-Types-Tumorgenesis-Propensity
Using Bayesian Analysis (Monte Carlo simulation & poisson sampling) to understand the difference between tumor genesis in types of mice from lab data
Language: R - Size: 421 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 6 - Forks: 0
RoryQo/Diabetes-Bayesian-Analysis-Lab
Using Monte Carlo simulation and plotting the distributions, we can see a significant difference between those with and without diabetes in key factors
Language: R - Size: 460 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 5 - Forks: 0
gpstuff-dev/gpstuff
GPstuff - Gaussian process models for Bayesian analysis
Language: MATLAB - Size: 67.2 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 174 - Forks: 61
slimgroup/WISE.jl
WISE: full-Waveform variational Inference via Subsurface Extensions
Language: Julia - Size: 23.9 MB - Last synced at: 24 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0
SlavovLab/DART-ID
DART-ID: retention time alignment and peptide identification confidence updates
Language: Python - Size: 22.6 MB - Last synced at: 20 days ago - Pushed at: 3 months ago - Stars: 16 - Forks: 4
arviz-devs/PosteriorStats.jl
Statistical analyses for Bayesian workflows
Language: Julia - Size: 723 KB - Last synced at: 5 days ago - Pushed at: 2 months ago - Stars: 6 - Forks: 0
silicontwin/arborist
The cross-platform app for efficiently performing Bayesian causal inference and supervised learning tasks using tree-based models, including BCF, BART, and XBART.
Language: Python - Size: 37.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0
jennalandy/bayesNMF
R package for bayesNMf, a computationally efficient Gibbs sampler for Bayesian Poisson NMF which automatically determines the number of latent factors while quantifying uncertainties of the learned matrices.
Language: R - Size: 116 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 7 - Forks: 1
helske/bssm
Bayesian Inference of State Space Models
Language: HTML - Size: 63.4 MB - Last synced at: 16 days ago - Pushed at: 9 months ago - Stars: 43 - Forks: 14
anubhabghosh/pdanse
This repository contains code related to the pDANSE method (accepted at ICASSP'25)
Language: Jupyter Notebook - Size: 1.37 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
SirCornflake/BMS
Tools to perform model selection alongside estimation under Linear, Logistic, Negative binomial, Quantile, and Skew-Normal regression. Under the spike-and-slab method, a probability for each possible model is estimated with the posterior mean, credibility interval, and standard deviation of coefficients and parameters under the most probable model.
Language: R - Size: 304 KB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
americocunhajr/CE-ABC
CE-ABC is a code to simulate the epidemic outbreaks with mechanistic models through a cross-entropy approximate Bayesian framework.
Language: MATLAB - Size: 68.1 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 7 - Forks: 1
anand-me/Spring24VicarMLTutorial
Collab Notebook Learned and Implemented During Spring 2024
Language: Jupyter Notebook - Size: 610 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Daniel-Andarge/AiML-brent-oil-price-analysis
This project analyzes Brent oil prices from 1987-2022, detecting structural changes and associating them with major events to provide data-driven insights for the energy industry.
Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
StatsWithR/statsr
Companion package for the Coursera Statistics with R specialization
Language: R - Size: 3.57 MB - Last synced at: 8 days ago - Pushed at: over 4 years ago - Stars: 72 - Forks: 84
SaiSampathKedari/Statistical-Inference-Theory
Comprehensive notes and solved problem sets from Casella-Berger: Statistical Inference (Chapters 6-9), covering essential concepts in Statistical Inference. Topics include Sufficiency, Point Estimation, Hypothesis Testing, and Interval Estimation, crucial for Statistical Machine Learning, Computational Statistics, and Probabilistic Robotics.
Size: 82.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
p3dr0id/DynaBayes
This Python package implements a method for dynamic Bayesian inference of parameters in networks of coupled phase oscillators.
Language: Python - Size: 4.92 MB - Last synced at: 14 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
steven-murray/yabf
Yet Another Bayesian Framework
Language: Python - Size: 437 KB - Last synced at: 14 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 1
