non-parametric

There are 1 repository under non-parametric topic.

JuliaRobotics / Caesar.jl
Robust robotic localization and mapping, together with NavAbility(TM). Reach out to info@wherewhen.ai for help.
multi-modal parametric-navigation-solutions caesar slam isam robotics julia database non-parametric
Language:Julia 195
sigvaldm / localreg
Multivariate Local Polynomial Regression and Radial Basis Function Regression
regression loess lowess radial-basis-function non-parametric kernel-methods multivariate
Language:Python 51
LRydin / jumpdiff
JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python
jump-diffusion non-parametric estimator kramers-moyal python conditional-moments stochastic-processes jump-amplitude diffusion-term jump-rate
Language:Python 49
derrynknife / SurPyval
A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.
survival-analysis parametric-methods probability-plot parametric-distribution weibull reliability reliability-engineering churn-prediction non-parametric risk-analysis actuarial-science reliability-analysis
Language:Python 48
vrodgom / statmorph
Python code for calculating non-parametric morphological diagnostics of galaxy images.
astronomy galaxies galaxy-morphology non-parametric
Language:Python 43
OpenShapes
aayushbansal / OpenShapes
A data-driven approach for interactively synthesizing diverse images from semantic label maps.
image-synthesis non-parametric user-controllable shapes parts scene-context web-app labels-to-image
Language:MATLAB 40
inferr
rsquaredacademy / inferr
Parametric and non-parametric statistical tests
inference inferential-statistics non-parametric parametric rstats statistical-tests
Language:R 37
ecoronado92 / towards_data_science
Repo containing code for Towards Data Science articles
python3 r non-parametric bayesian regression-models topic-modeling
Language:HTML 29
JayKumarr / OSDM
This code belongs to ACL conference paper entitled as "An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering"
data-stream data-stream-mining data-stream-processing dirichlet-process dirichlet-process-mixtures non-parametric stochastic-process text-clustering text-mining text-stream
Language:Python 16
JonasMoss / kdensity
An R package for kernel density estimation with parametric starts and asymmetric kernels.
non-parametric kernel-density-estimation asymmetric-kernels density-estimation
Language:R 16
BobLd / RamerDouglasPeuckerNetV2
An algorithm that decimates a curve composed of line segments to a similar curve with fewer points.
chart douglas-peucker downsampling iterative-end-point-fit non-parametric plot polyline-simplification ramer-douglas-peucker rdp rdp-algorithm
Language:C# 14
mariogutierrezroig / smite
Python module for computing Symbolic Mutual Information and symbolic Transfer of Entropy
python mutual-information transfer-entropy non-parametric time-series-analysis
Language:Python 14
mustafaseisa / regimechange
Non-parametric method for estimating regime change in bivariate time series setting.
time-series finance machine-learning kernel-methods non-parametric data-science regime-change kernel python
Language:Python 14
pleonova / stat-tests
A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.
frequentist-statistics ab-testing regression linear-regression cox-regression poisson-regression mixed-model chi-square-test anova-test non-parametric
12
Vikr-182 / uap-bev
UAP-BEV: Uncertainty Aware Planning in Bird's Eye View Generated from Monocular Images (CASE' 23)
cem control-barrier-functions mpc non-parametric uncertainty-neural-networks uncertainty-quantification
8
anhdanggit / non-parametric-econometrics
This is the R code for several common non-parametric methods (kernel est., mean regression, quantile regression, boostraps) with both practical applications on data and simulations
bootstrap density-estimation kernel non-parametric quantile-regression simulation
Language:R 7
bozenne / BuyseTest
Generalized Pairwise Comparisons
statistics r non-parametric generalized-pairwise-comparisons
Language:R 5
segsell / kernreg
Tool for non-parametric curve fitting using local polynomials.
kernel-regression non-parametric curve-fitting local-polynomial-regression
Language:Python 5
jpfeil / hydra
gene-expression mixture-model non-parametric
Language:Python 4
LAMPSPUC / NonParametricNORTA.jl
NORTA.jl implements the Normal to Anything (NORTA) concept, leveraging Julia's framework to provide a unique approach that utilizes non-parametric distribution fitting methods, thereby enhancing efficiency by eliminating the need for explicit correlation matrix computations.
distribution julia-language non-parametric statistics time-series
Language:Julia 4
jpinzonc / Scheirer-Ray-Hare-Test
Python function to perform the Scheirer-Ray-Hare Test
non-parametric pandas python3 scipy
Language:Jupyter Notebook 3
mikelove / swish-demos
Demo of analyses using Swish from the fishpond Bioc package
rna-seq non-parametric dte dge swish fishpond
3
nunofachada / micompm
Multivariate independent comparison of observations
multivariate multivariate-data multivariate-distributions multivariate-observations non-parametric parametric-tests matlab matlab-toolbox octave octave-scripts octave-functions statistical-analysis statistical-data statistical-methods statistical-tests
Language:MATLAB 3
nunofachada / micompr
Multivariate independent comparison of observations.
micompr r-package r multivariate-observations multivariate multivariate-data multivariate-distributions statistical-tests statistical-analysis statistical-methods statistical-data parametric-tests non-parametric
Language:R 3
stdlib-js / stats-kruskal-test
Compute the Kruskal-Wallis test for equal medians.
nodejs javascript stdlib node node-js statistics stats mathematics math summary test hypothesis equality median nonparametric non-parametric
Language:JavaScript 3
abhikr360 / Small-Variance-Asymptotics
Small Variance Asymptotics in Non Parametric Bayesian Clustering
machine-learning bayesian-cluster-analysis non-parametric-inference non-parametric probabilistic-inference
Language:C++ 2
alumbreras / Dual-DPGMM
Code for the paper "Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models"
cluster-users clustering dp-gmm monte-carlo non-parametric wishart
Language:R 2
jsvir / OPMC
One-pass Multi-view Clustering for Large-scale Data (OPMC) in PyTorch
multiview-clustering non-parametric
Language:Python 2
odeibarredo / Statistics_Group-Comparisons
Statistical analysis comparing metal accumulation levels in three macroinvertebrate groups
anova bioaccumulation biostatistics bonferroni dunn-s-test kruskal-wallis levene-test macroinvertebrate metal non-parametric normal-distribution p-value parametric-tests pca shapiro-wilk significant skewness
Language:R 2
bissessk / Principal-Components-Analysis-of-Peripheral-Blood-Mononuclear-Cells
A dataset of Peripheral Blood Mononuclear Cells (PBMCs) was analyzed using clustering and non-parametric methods like PCA.
bioinformatics clustering machine-learning non-parametric pca pca-analysis scikit-learn scikitlearn-machine-learning
Language:Jupyter Notebook 1
ecoronado92 / hdp
Nonparametric topic modeling via Hierarchical Dirichlet Processes
non-parametric topic-modeling latent-dirichlet-allocation hierarchical-models natural-language-processing python
Language:Jupyter Notebook 1
MarkEhler / dsc-2-final-project-online-ds-pt-112618
Hypothesis Testing and SQL queries on the North Wind Traders database
hypothesis-testing cohens-d non-parametric
Language:Jupyter Notebook 1
samperochkin / learning-block-exchangeability
Some code related to our paper Per,Duc,Nes. Detection (2019). The objective is to detect block-exchangeable structures in correlation matrices. For any help, please contact me or leave a comment somewhere. I will be glad to help you.
copula correlation-matrices exchangeable-structures kendall-tau non-parametric shrinkage statistical-learning
Language:R 1
sethuiyer / stat-tests
Repository containing codes for various statistical hypothesis tests written in R.
statistical-inference stat-tests non-parametric r
Language:R 1
siraug / Health-Insurance-Analysis-using-R
This summary captures the application of statistical techniques on a dataset for accurate insights and inferences. The statistical technique used are Normality tests, non-parametric test, correlation.
correlation-analysis health-informatics health-insurance insurance non-parametric statistics
0
computorg / published-202412-ambroise-spectral
Spectral Bridges: Scalable Spectral Clustering Based on Vector Quantization
non-parametric scalable spectral-clustering vector-quantization
Language:Python

non-parametric

JuliaRobotics / Caesar.jl

sigvaldm / localreg

LRydin / jumpdiff

derrynknife / SurPyval

vrodgom / statmorph

aayushbansal / OpenShapes

rsquaredacademy / inferr

ecoronado92 / towards_data_science

JayKumarr / OSDM

JonasMoss / kdensity

BobLd / RamerDouglasPeuckerNetV2

mariogutierrezroig / smite

mustafaseisa / regimechange

pleonova / stat-tests

Vikr-182 / uap-bev

anhdanggit / non-parametric-econometrics

bozenne / BuyseTest

segsell / kernreg

jpfeil / hydra

LAMPSPUC / NonParametricNORTA.jl

jpinzonc / Scheirer-Ray-Hare-Test

mikelove / swish-demos

nunofachada / micompm

nunofachada / micompr

stdlib-js / stats-kruskal-test

abhikr360 / Small-Variance-Asymptotics

alumbreras / Dual-DPGMM

jsvir / OPMC

odeibarredo / Statistics_Group-Comparisons

bissessk / Principal-Components-Analysis-of-Peripheral-Blood-Mononuclear-Cells

ecoronado92 / hdp

MarkEhler / dsc-2-final-project-online-ds-pt-112618

samperochkin / learning-block-exchangeability

sethuiyer / stat-tests

siraug / Health-Insurance-Analysis-using-R

computorg / published-202412-ambroise-spectral