high-dimensional-inference | Topic

Topic: "high-dimensional-inference"

NVIDIA/MinkowskiEngine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Language: Python - Size: 14.6 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 2,636 - Forks: 382

tlverse/causalglm

Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

Language: R - Size: 7.27 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 24 - Forks: 0

gleday/ShrinkNet

Gene network reconstruction using global-local shrinkage priors

Language: C++ - Size: 11.7 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 4 - Forks: 0

cxy0714/Method-of-Moments-Inference-for-GLMs

Simulation for "Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics"

Language: R - Size: 35.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 1

alexmclain/PROBE

PaRtitiOned empirical Bayes Ecm (PROBE)

Language: R - Size: 104 MB - Last synced at: 6 days ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

jichunxie/squac

Language: R - Size: 854 KB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1

Yang-Weichao/L2test

Code for "Score function-based tests for ultrahigh-dimensional linear models"

Language: R - Size: 3.91 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

gleday/beam

Fast Bayesian Inference in Large Graphical Models

Language: R - Size: 311 KB - Last synced at: 15 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 1

zhangyk8/Debias-Infer

Python and R Packges for Efficient Inference on High-Dimensional Linear Models With Missing Outcomes

Language: Jupyter Notebook - Size: 83.5 MB - Last synced at: 5 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Python notebook on GtSt testing procedures on the LARS path. Code associated with the manuscript "Multiple Testing and Variable Selection along Least Angle Regression's path" (J.-M. Azaïs & Y. De Castro)

Language: Jupyter Notebook - Size: 9.5 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

nbhushan/Gaussian-Graphical-Models

An introduction to graphical models in psychometrics.

Language: R - Size: 640 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Related Topics

high-dimensional-data 4 machine-learning 3 graphical-models 3 multiple-testing 2 network-analysis 2 statistics 2 empirical-bayes 2 missing-data 2 simultaneous-equation 1 gene-network-reconstruction 1 undirected-graphs 1 inverse-covariance 1 covariance-estimation 1 bayesian-inference 1 linear-models 1 bayesian-methods 1 nonlinear-dependence 1 chi-square-statistics 1 observational-studies 1 missing-at-random 1 method-of-moments 1 trilateral-filter 1 spatio-temporal-analysis 1 sparse-tensors 1 sparse-tensor-network 1 sparse-convolution 1 space-time 1 semantic-segmentation 1 pytorch 1 neural-network 1 minkowski-engine 1 deep-learning 1 cuda 1 convolutional-neural-networks 1 computer-vision 1 auto-differentiation 1 4d-convolutional-neural-network 1 3d-vision 1 3d-convolutional-network 1 variational-inference 1 working-model 1 treatment-effects 1 targeted-learning 1 semiparametric-estimation 1 robust-statistics 1 relative-risk-regression 1 r-package 1 r 1 projection 1 nonparametric-statistics 1 marginal-structural-models 1 interpretable-machine-learning 1 heterogeneous-treatment-effects 1 generalized-linear-models 1 data-science 1 causal-learning 1 causal-inference 1 logistic-regression 1 high-dimensional-statistics 1 glm 1 doubly-robust-functional 1 average-treatment-effect 1 ate 1 research 1 psychometrics 1 bayesian-network 1 coordinate-descent 1 significance-testing 1 hypothesis-testing 1 post-selection 1 lars 1 fdr-procedure 1 fdr-benjamini 1 fdr 1

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