JOSS Papers: statistical inference

All Papers
3469
 Published Papers
3038
 Active Papers
431
published Published 28 days ago

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

Python
@ma-sadeghi
10.21105/joss.06256
published Published 4 months ago

CausalTables.jl: Simulating and storing data for statistical causal inference in Julia

Julia
@salbalkus
10.21105/joss.07580
published Published about 1 year ago

HiddenMarkovModels.jl: generic, fast and reliable state space modeling

Julia
@gdalle
10.21105/joss.06436
published Published almost 2 years ago

PyVBMC: Efficient Bayesian inference in Python

Python
@Bobby-Huggins
10.21105/joss.05428
published Published about 2 years ago

RxInfer: A Julia package for reactive real-time Bayesian inference

Jupyter Notebook Julia
@bvdmitri
10.21105/joss.05161
published Published almost 3 years ago

tipr: An R package for sensitivity analyses for unmeasured confounders

R
@LucyMcGowan
10.21105/joss.04495
published Published almost 3 years ago

GPJax: A Gaussian Process Framework in JAX

Python
@thomaspinder
10.21105/joss.04455
published Published over 3 years ago

infer: An R package for tidyverse-friendly statistical inference

R
@simonpcouch
10.21105/joss.03661
published Published about 4 years ago

PyGModels: A Python package for exploring Probabilistic Graphical Models with Graph Theoretical Structures

Python
@D-K-E
10.21105/joss.03115
published Published over 4 years ago

PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting

Python
@Jammy2211
10.21105/joss.02550
Displaying papers 1 - 10 of 13 in total

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ISSN 2475-9066