JOSS Papers: Bayesian

All Papers
3946
 Published Papers
3319
 Active Papers
627
published Published 23 days ago

OPTIMEO: Bayesian Optimization Web App for Process Tuning, Modeling, and Orchestration

Python Jupyter Notebook
@colinbousige
10.21105/joss.08510
published Published about 1 month ago

rmcmc: Robust Markov chain Monte Carlo methods in R

R Stan
@matt-graham
10.21105/joss.08594
published Published about 2 months ago

IntrinsicTimescales.jl: A Julia package to estimate intrinsic (neural) timescales (INTs) from time-series data

Julia
@duodenum96
10.21105/joss.08261
published Published about 2 months ago

Bamojax: Bayesian Modelling with JAX

Python Jupyter Notebook
@maxhinne
10.21105/joss.08642
published Published 7 months ago

bbousuite: A set of R packages to facilitate analysis of boreal caribou survival and recruitment data

R
@sebdalgarno
10.21105/joss.07997
published Published 7 months ago

AutoEIS: Automated equivalent circuit modeling from electrochemical impedance spectroscopy data using statistical machine learning

Python
@ma-sadeghi
10.21105/joss.06256
published Published 8 months ago

BREADR: An R Package for the Bayesian Estimation of Genetic Relatedness from Low-coverage Genotype Data

R
@BenRohrlach
10.21105/joss.07916
published Published 8 months ago

bayes_traj: A Python package for Bayesian trajectory analysis

Python Jupyter Notebook
@jcross186
10.21105/joss.07323
published Published 8 months ago

sbi reloaded: a toolkit for simulation-based inference workflows

Python
@janfb
10.21105/joss.07754
published Published 9 months ago

quickBayes: An analytical approach to Bayesian marginal likelihoods

Python
@AnthonyLim23
10.21105/joss.06230
Displaying papers 1 - 10 of 106 in total

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ISSN 2475-9066