An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: covariance-estimation

pyRiemann/pyRiemann

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

Language: Python - Size: 1.48 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 678 - Forks: 170

deeptime-ml/deeptime

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

Language: Python - Size: 13 MB - Last synced at: 6 days ago - Pushed at: 2 months ago - Stars: 808 - Forks: 87

PrzeChoj/gips

gips - Gaussian model Invariant by Permutation Symmetry

Language: R - Size: 26 MB - Last synced at: 20 days ago - Pushed at: 3 months ago - Stars: 8 - Forks: 2

microprediction/precise

World beating online covariance and portfolio construction.

Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: 7 days ago - Pushed at: about 1 month ago - Stars: 299 - Forks: 50

gleday/beam

Fast Bayesian Inference in Large Graphical Models

Language: R - Size: 312 KB - Last synced at: 3 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 1

bsaul/geex

Framework for estimating parameters and the empirical sandwich covariance matrix from a set of unbiased estimating equations (i.e. M-estimation) in R.

Language: R - Size: 4.59 MB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 5

benediktfesl/Quantized_Channel_Estimation

Implementation of the Paper "Channel Estimation for Quantized Systems based on Conditionally Gaussian Latent Models".

Language: Python - Size: 66.4 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 3

kisungyou/CovTools

Statistical Tools for Covariance Analysis

Language: R - Size: 23.6 MB - Last synced at: 1 day ago - Pushed at: almost 2 years ago - Stars: 14 - Forks: 6

JongueBongers/GEDI_Outlier_Detector

Outlier detection for GEDI waveform lidar data

Language: Jupyter Notebook - Size: 4.08 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

convexfi/fitHeavyTail

Mean and Covariance Matrix Estimation under Heavy Tails

Language: R - Size: 40.2 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 22 - Forks: 4

egpivo/SpatPCA

R Package: Regularized Principal Component Analysis for Spatial Data

Language: R - Size: 110 MB - Last synced at: 11 days ago - Pushed at: 10 months ago - Stars: 20 - Forks: 1

mateuszbaran/CovarianceEstimation.jl

Lightweight robust covariance estimation in Julia

Language: Julia - Size: 2.37 MB - Last synced at: about 17 hours ago - Pushed at: 7 months ago - Stars: 42 - Forks: 8

dwrobel/TrivialKalmanFilter

Unidimensional trivial Kalman filter (header only, Arduino compatible) library

Language: C++ - Size: 164 KB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 2

mnarayan/ggmClass

A matlab class for ggm estimation

Language: Matlab - Size: 878 KB - Last synced at: 3 days ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

AEBilgrau/correlateR

General purpose correlation and covariance estimation

Language: R - Size: 228 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 2

gregversteeg/py_bigquic

A Python front-end for the large-scale graphical LASSO optimizer BigQUIC (written in R).

Language: Python - Size: 28.3 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 3

Rae-Zou/Statistics-in-R

A few statistical methods appropriate for applications in the biological and social sciences.

Language: R - Size: 589 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

javzapata/fgm

R package for Partially Separable Multivariate Functional Data and Functional Graphical Models

Language: R - Size: 11.1 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

hrayrhar/T-CorEx

Implementation of linear CorEx and temporal CorEx.

Language: Python - Size: 49.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 35 - Forks: 10

haozhestat/spatialFDA

R code and dataset for the paper on spatially functional data

Language: R - Size: 4.62 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 1

luca590/High-Dimensional-Statistics

PCA, Factor Analysis, CCA, Sparse Covariance Matrix Estimation, Imputation, Multiple Hypothesis Testing

Language: R - Size: 10.3 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 4

cdebeunne/uncertainties_CNN

A repo for toy examples to test uncertainties estimation of neural networks

Language: Jupyter Notebook - Size: 17.4 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

prakhargurawa/Optimization-Algo-Comparision

Different optimization algorithms like Hill climbing, Simulated annealing, Late accepted Hill climbing , Genetic Algorithm is implemented from scratch.

Language: Python - Size: 131 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

AvivNavon/MrRCE

Official implementation of Capturing Between-Tasks Covariance and Similarities Using Multivariate Linear Mixed Models [EJS 2020]

Language: Jupyter Notebook - Size: 3.41 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

PeppeSaccardi/acmvup

Additive Covariance Modeling via Unconstrained Parametrization

Language: R - Size: 14.6 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

RedCrow9564/EstimationOverGroups-FinalProject

This project was submitted as a requirement for this course. The course was administered in Spring 2020 in Tel-Aviv University - School of Mathematical Sciences

Language: Jupyter Notebook - Size: 188 KB - Last synced at: 6 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

yowald/elliptical-losses

Code accompanying the paper "Globally Optimal Learning for Structured Elliptical Losses", published at NeurIPS 2019

Language: Python - Size: 7.62 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

neuroquant/tutorial-prni-2017

This repository contains iPython notebooks that run on the octave kernel to accompany tutorial and slides presented at PRNI

Language: Jupyter Notebook - Size: 261 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 1

mnarayan/pyquic Fork of osdf/pyquic

Python wrapper for QUIC

Language: C - Size: 3.44 MB - Last synced at: 3 days ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

Related Keywords
covariance-estimation 29 r 7 machine-learning 7 covariance-matrix 5 graphical-models 4 statistics 4 pca 3 covariance 3 optimization 2 r-package 2 functional-data-analysis 2 lasso 2 python 2 gaussian-mixture-models 2 information-theory 1 temporal-data 1 corex 1 clustering 1 unsupervised-learning 1 neuroscience 1 dimensionality-reduction 1 neuroimaging-data 1 karhunen-loeve 1 prediction 1 principal-component-analysis 1 spatial-statistics 1 brain-computer-interface 1 kalman 1 library 1 linear-quadratic-estimation 1 lqe 1 noise-reduction 1 platformio 1 distribution-shifts 1 networks 1 cross-correlation 1 cross-covariance 1 partial-correlations 1 sparse-matrix 1 anova-analysis 1 statistical-models 1 t-test 1 gaussian-processes 1 pso-algorithm 1 simulated-annealing 1 covariance-selection 1 linear-mixed-models 1 sparse-reconstruction 1 likelihood 1 rpackage 1 algorithm 1 neurips-2019 1 regression-algorithms 1 robust-regresssion 1 structured-prediction 1 batch-effects 1 fmri 1 multi-site-imaging 1 neuroimaging 1 prni2017 1 zillow 1 dimensional-statistics 1 factor-analysis 1 gaussian-graphical-models 1 hypothesis-testing 1 imputation 1 ising-model 1 markowitz-portfolio 1 cnn 1 pytorch 1 uncertainty-neural-networks 1 genetic-algorithm 1 genetic-algorithms 1 hill-climbing 1 machine-learning-algorithms 1 optimization-algorithms 1 particle-swarm-optimization 1 normal-distribution 1 investment-portfolio 1 portfolio 1 bayesian-inference 1 empirical-bayes 1 high-dimensional-data 1 high-dimensional-inference 1 inverse-covariance 1 network-analysis 1 undirected-graphs 1 asymptotics 1 covariance-estimates 1 estimate-parameters 1 estimating-equations 1 estimation 1 inference 1 eeg 1 hermitian-matrices 1 image-processing 1 positive-definite-matrices 1 radar-image 1 remote-sensing 1 riemannian-geometry 1