Topic: posterior-probability Goto Github
Some thing interesting about posterior-probability
Some thing interesting about posterior-probability
posterior-probability,Matrix Determinant Toolkit (memdet)
User: ameli
Home Page: https://ameli.github.io/detkit/
posterior-probability,R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
User: anjalisilva
Home Page: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6636065/
posterior-probability,Markov Chain Monte Carlo on graph space applied to the study of neuronal interactions from experimental data
User: brandimarte
Home Page: https://brandimarte.github.io/coding/MCMC_Neuro.html
posterior-probability,causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.
User: flyaflya
Home Page: http://causact.com
posterior-probability,Implementation of Markov chain Monte Carlo sampling and the Metropolis-Hastings algorithm for multi-parameter Bayesian inference.
User: gabrielegilardi
posterior-probability,Tools for the Bayesian Discount Prior Function
User: graemeleehickey
Home Page: https://github.com/graemeleehickey/bayesDP/
posterior-probability, Kronecker-product-based linear inversion under Gaussian and separability assumptions.
User: inverseproblem
posterior-probability,Kronecker-product-based linear inversion under Gaussian and separability assumptions.
User: inverseproblem
Home Page: https://inverseproblem.github.io/KronLinInv.jl/latest
posterior-probability,Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
User: kefirski
posterior-probability,Compatibility probability of measurements across experiments
User: lacerbi
posterior-probability,:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
User: m-clark
Home Page: https://m-clark.github.io/bayesian-basics/
posterior-probability,Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.
User: mauricelanghinrichs
posterior-probability,Gauss Naive Bayes in Python From Scratch.
User: odubno
posterior-probability,daubl: Digit analysis using Benford's law
User: ptfonseca
Home Page: https://pedro-teles-fonseca.github.io/daubl/
posterior-probability,pcal: Calibration of p-values for point null hypotheses
User: ptfonseca
Home Page: https://pedro-teles-fonseca.github.io/pcal/
posterior-probability,A curated list of my Artificial Intelligence project.
User: rathod-shubham
posterior-probability,Code relative to paper arXiv:1808.01930 [hep-ex]
User: rdisipio
Home Page: https://arxiv.org/abs/1808.01930
posterior-probability,The Plausible Parameter Space (PPS) Shiny App is designed to help users define their priors in a linear regression with two regression coefficients.
User: rensvandeschoot
posterior-probability,Histogram based classification and prediction of annual rainfall from Kerala dataset
User: snehashukla937
posterior-probability,AbstractGPs.jl is a package that defines a low-level API for working with Gaussian processes (GPs), and basic functionality for working with them in the simplest cases. As such it is aimed more at developers and researchers who are interested in using it as a building block than end-users of GPs.
User: sourangshughosh
posterior-probability,Bayesian Logistic Regression with Python and PyMC3 to predict customer subscription for a financial institution.
User: trajceskijovan
posterior-probability,A web app for analyzing A/B testing data using Bayesian approach
User: tukichen
posterior-probability,Bayesian Inference
User: yakuza8
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