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Search results for bayesian mcmc

125 search results found

Bayesian Principal Components Analysis (bPCA)

Bayesian Statistics ⭐ 7

Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.

Bayesrecipe ⭐ 7

Bayesian Reciprocal Regularization

Lander Stan Class 2023 ⭐ 7

Materials for Bayes/Stan workshop using CmdStanR

Mcmc_fnn_timeseries ⭐ 6

Bayesian Neural Network for Time Series Prediction

Bayesian estimation of the latent dimension and communities in stochastic blockmodels

Mcmc Denoising ⭐ 6

Bayesian image denoising in C++ and Python

Combining dating methods for better stellar ages

Structmcmc ⭐ 6

A set of tools for performing structural inference for Bayesian Networks using MCMC in R

Bnpmix.java ⭐ 6

Bayesian Nonparametric Mixture Models in Java

http://pymc.googlecode.com/svn/trunk

Crn_probabilisticinversion ⭐ 6

Bayesian inversion of cosmogenic radionuclide depth profile data (Python 2.7)

Eatmyshorts ⭐ 6

Visualisation methods and functions for exploring Bayesian Additive Regression Trees

An R package of helper functions for Bayesian analyses

Laplacesdemon ⭐ 5

A complete environment for Bayesian inference within R

A fully Bayesian, CUDA-accelerated method of analyzing RNA-seq data

Confidence ⭐ 5

Use experiments, modeling, and simulation to determine if perceptual confidence emerges from Bayesian or heuristic computations. 🧠

Probabilistic Matrix Factorization ⭐ 5

Deep Modeling of Strong Gravitational Time Delay Lenses for Bayesian Inference of the Hubble Constant

Pymc Advi Hmc Demo ⭐ 5

Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.

Bayesianrecordlinkage.jl ⭐ 5

Perform Bayesian record linkage with a one-to-one matching assumption.

Revdbayes ⭐ 5

Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis

An R package for biomarker discovery using Bayesian models implemented in Stan

PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models

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

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