JOSS Papers: density estimation

All Papers
3185
 Published Papers
2833
 Active Papers
352
published Published 11 months ago

Surjectors: surjection layers for density estimation with normalizing flows

Python
@dirmeier
10.21105/joss.06188
published Published over 1 year ago

Metrics As Scores: A Tool- and Analysis Suite and Interactive Application for Exploring Context-Dependent Distributions

Python Jupyter Notebook
@mrshoenel
10.21105/joss.04913
published Published over 1 year ago

normflows: A PyTorch Package for Normalizing Flows

Python
@VincentStimper
10.21105/joss.05361
published Published about 2 years ago

MParT: Monotone Parameterization Toolkit

C++ Objective-C MATLAB
@mparno
10.21105/joss.04843
published Published over 2 years ago

haldensify: Highly adaptive lasso conditional density estimation in R

R
@nhejazi
10.21105/joss.04522
published Published almost 4 years ago

kalepy: a Python package for kernel density estimation, sampling and plotting

Python Jupyter Notebook
@lzkelley
10.21105/joss.02784
published Published about 5 years ago

kramersmoyal: Kramers--Moyal coefficients for stochastic processes

Python
@LRydin
10.21105/joss.01693
published Published about 5 years ago

univariateML: An R package for maximum likelihood estimation of univariate densities

R
@JonasMoss
10.21105/joss.01863
published Published over 5 years ago

kdensity: An R package for kernel density estimation with parametric starts and asymmetric kernels

R
@JonasMoss
10.21105/joss.01566
published Published over 6 years ago

logKDE: log-transformed kernel density estimation

R C++
@hiendn
10.21105/joss.00870
Displaying papers 1 - 10 of 12 in total

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ISSN 2475-9066