Results 31 to 40 of about 6,070,042 (338)

On Optimal Interpolation In Linear Regression

CoRR, 2021
25 pages, 7 figures, to appear in NeurIPS ...
Oravkin, E, Rebeschini, P
openaire   +5 more sources

On the implementation of LIR: the case of simple linear regression with interval data [PDF]

, 2012
This paper considers the problem of simple linear regression with interval-censored data. That is, n pairs of intervals are observed instead of the n pairs of precise values for the two variables (dependent and independent).
Cattaneo, Marco E.G.V., Wiencierz, Andrea, Cattaneo, Marco E. G. V.   +2 more
core   +1 more source

Linear Regression with Censoring

Journal of Multivariate Analysis, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Srinivasan, C., Zhou, M.
openaire   +1 more source

Distributed Online Linear Regressions

IEEE Transactions on Information Theory, 2021
We study online linear regression problems in a distributed setting, where the data is spread over a network. In each round, each network node proposes a linear predictor, with the objective of fitting the \emph{network-wide} data. It then updates its predictor for the next round according to the received local feedback and information received from ...
Deming Yuan, Alexandre Proutière, Guodong Shi   +2 more
openaire   +3 more sources

A Fast Algorithm for the High Order Linear and Nonlinear Gaussian Regression filter [PDF]

, 2009
In this paper, the general model of the Gaussian regression filter, including both the linear and nonlinear filter of zeroth, second order, has been reviewed.
Jiang, X., Xiao, S., Zeng, Wenhan, Scott, P. J., Blunt, Liam, Jiang, Xiang, Xiao, Shaojun, Zeng, W., Scott, Paul J., Blunt, L.   +9 more
core   +4 more sources

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

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

Sparse Semi-Functional Partial Linear Single-Index Regression

Proceedings, 2018
The variable selection problem is studied in the sparse semi-functional partial linear model, with single-index type influence of the functional covariate in the response. The penalized least squares procedure is employed for this task.
Silvia Novo, Germán Aneiros, Philippe Vieu   +2 more
doaj   +1 more source

Consequences of ignoring clustering in linear regression

BMC Medical Research Methodology, 2021
Background Clustering of observations is a common phenomenon in epidemiological and clinical research. Previous studies have highlighted the importance of using multilevel analysis to account for such clustering, but in practice, methods ignoring ...
Georgia Ntani, Hazel Inskip, Clive Osmond, David Coggon   +3 more
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.
Portnoy, S., Neocleous, T.
core   +1 more source