Skip to search formSkip to main contentSkip to account menu

Factor regression model

Known as: Factor regression 
The factor regression model, or hybrid factor model, is a special multivariate model with the following form. where, is the -th (known) observation… 
Wikipedia (opens in a new tab)

Related topics

Related topics

1 relation
Factor analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Interpolation under latent factor regression models
This work studies finite-sample properties of the risk of the minimum-norm interpolating predictor in high-dimensional regression… 
2016
2016
Use of Stochastic Models for Operational Efficiency Analysis of Multi Power Source Traction Drives
Modern development of new technologies, equipment and materials in the field of electric power engineering has allowed a fresh… 
2015
2015
Single Marker Analysis for Oil Yield and Component Traits in Groundnut (Arachis hypogaea L.)
In groundnut, marker-trait association was studied for ten yield and yield component traits using 60 SSR markers. Single marker… 
2013
2013
Применение воздушно-плазменного потока монооксида азота в санации желчного пузыря при двухэтапном лечении острого холецистита у геронтологических больных
In recent years there have been numerous reports of a significant reduction in mortality in patients carrying «threatened» two… 
2012
2012
ОЦЕНКА МЕТАБОЛИЧЕСКИХ ЭФФЕКТОВ КОМБИНАЦИЙ АНТИГИПЕРТЕНЗИВНЫХ ПРЕПАРАТОВ
Aim. To investigate the effects of various antihypertensive combinations on metabolic parameters in patients with arterial… 
2011
2011
Combination Forecasts of Integrated Information
This paper aims to achieve gains in forecasting performance resulting from combination by incorporating information of the… 
2009
2009
Learning Graphical Model Structure with Sparse Bayesian Factor Models and Process Priors
In this paper we present an algorithm to learn factor models and directed acyclic graphs (DAG) within the same framework. It is… 
Review
2009
Review
2009
Feature visualization in large scale imaging mass spectrometry data
Imaging mass spectrometry is an innovative technique that combines high-resolution microscopic imaging tools with analytical… 
2003
2003
Diffuse Pollution Conference , Dublin 2003 10 F GIS 1099 DIFFUSE AND POINT SOURCE POLLUTIONS AT CATCHMENT SCALE : A STATISTICAL QUANTIFYING TOOL
Determination of input loading rates from tributaries is an essential component of nutrients mass balance studies on lagoon… 
1998
1998
Can College Actions Improve the Academic Achievement of At-Risk Minority Students?.
This study examined factors affecting academic achievement of at-risk minority students to evaluate intervention strategies… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)