JSTOR Daily

High-Dimensional Mixed Graphical Models

While graphical models for continuous data (Gaussian graphical models) and discrete data (Ising models) have been extensively studied, there is little work on graphical models for datasets with both ...
IEEE

Rotation-invariant Mixed Graphical Model Network for 2D Hand Pose Estimation

Abstract: In this paper, we propose a new architecture named Rotation-invariant Mixed Graphical Model Network (R-MGMN) to solve the problem of 2D hand pose estimation from a monocular RGB image. By ...
Europe PMC

Learning mixed graphical models with separate sparsity parameters and stability-based model selection.

Mixed graphical models (MGMs) are graphical models learned over a combination of continuous and discrete variables. Mixed variable types are common in biomedical datasets. MGMs consist of a ...
Europe PMC

Neurological Complications Acquired During Pediatric Critical Illness: Exploratory "Mixed Graphical Modeling" Analysis Using Serum Biomarker Levels.

Neurologic complications, consisting of the acute development of a neurologic disorder, that is, not present at admission but develops during the course of illness, can be difficult to detect in the ...
GitHub

Code for the mid-quantile mixed graphical model (QMGM)

Notifications You must be signed in to change notification settings The scripts in this repository can be used to reproduce the results in Mid-quantile mixed graphical models with an application to ...