Results 21 to 30 of about 3,251,267 (306)

Research on linear regression algorithm [PDF]

MATEC Web of Conferences
Linear regression is one of the most widely used predictive models in statistics and machine learning. This paper aims to comprehensively discuss the theoretical basis, mathematical principle and application of linear regression algorithm in various ...
Qu Kecheng
doaj   +1 more source

Partially linear censored quantile regression [PDF]

, 2009
Censored regression quantile (CRQ) methods provide a powerful and flexible approach to the analysis of censored survival data when standard linear models are felt to be appropriate.
B Honore, JL Powell, K Doksum, L Peng, L Tian, M Buchinsky, R Koenker, R Koenker, R Koenker, RJ Gray, S Portnoy, Stephen Portnoy, T Neocleous, Tereza Neocleous, V Chernozhukov, X He, X He, X He   +17 more
core   +1 more source

Linear Regression Based Real-Time Filtering

Advances in Electrical and Electronic Engineering, 2013
This paper introduces real time filtering method based on linear least squares fitted line. Method can be used in case that a filtered signal is linear. This constraint narrows a band of potential applications.
Misel Batmend, Daniela Perdukova
doaj   +1 more source

An improved quantum-inspired algorithm for linear regression [PDF]

Quantum, 2022
We give a classical algorithm for linear regression analogous to the quantum matrix inversion algorithm [Harrow, Hassidim, and Lloyd, Physical Review Letters'09] for low-rank matrices [Wossnig, Zhao, and Prakash, Physical Review Letters'18], when the ...
András Gilyén, Zhao Song, Ewin Tang
doaj   +1 more source

Privacy-preserving Linear Regression Scheme and Its Application [PDF]

Jisuanji kexue, 2022
Linear regression is an important and widely used machine learning algorithm.The training of linear regression model usually depends on a large amount of data.In reality,the data set is generally held by different users and contains their privacy ...
LYU You, WU Wen-yuan
doaj   +1 more source

On the complexity of switching linear regression [PDF]

, 2016
This technical note extends recent results on the computational complexity of globally minimizing the error of piecewise-affine models to the related problem of minimizing the error of switching linear regression models.
Lauer, Fabien
core   +4 more sources

Linear Regression for Heavy Tails

Risks, 2018
There exist several estimators of the regression line in the simple linear regression: Least Squares, Least Absolute Deviation, Right Median, Theil–Sen, Weighted Balance, and Least Trimmed Squares.
Guus Balkema, Paul Embrechts
doaj   +1 more source

Freight trip generation to buildings under construction: a comparative analysis with linear regression and generalised linear regression

Transportes, 2020
Estimating the number of trips generated by a company is an essential part of the process of freight demand modelling. In this context, the current study examines freight trip generation to buildings under construction (BUC) using generalised linear ...
Leise Kelli de Oliveira, Rafael Tagliatti Herédia, Bruno Vieira Bertoncini, Renata Lúcia Magalhães de Oliveira   +3 more
doaj   +1 more source

Linear Regression with Censoring

Journal of Multivariate Analysis, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
C. Srinivasan, Mai Zhou
openaire   +2 more sources

Multiple Linear Regression versus Automatic Linear Modelling

Arquivo Brasileiro de Medicina Veterinária e Zootecnia
In this study, performances of Multiple Linear Regression and Automatic Linear Modelling are compared for different sample sizes and number of predictors. A comprehensive Monte Carlo simulation study was carried out for this purpose.
S. Genç, M. Mendeş
doaj   +1 more source