Results 21 to 30 of about 3,364,346 (276)
Robust Model Selection in Linear regression [PDF]
Kirkuk Journal of Science, 2007 The research deals with the proposing of robust formula for the accumulate prediction error (APE) criterion which is used in selecting regression model. The proposed formula evaluated with a simulation study.
Dr. Sabah Haseeb Hassan
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Local linear spatial quantile regression [PDF]
, 2009 Copyright @ 2009 International Statistical Institute / Bernoulli Society for Mathematical Statistics and Probability.Let {(Yi,Xi), i ∈ ZN} be a stationary real-valued (d + 1)-dimensional spatial processes.
Hallin, M, Lu, Z, Yu, K
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Research on linear regression algorithm [PDF]
MATEC Web of ConferencesLinear 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
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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
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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
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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
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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
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Kernel Logistic Regression-linear for Leukemia Classification Using High Dimensional Data [PDF]
, 2009 Kernel Logistic Regression (KLR) is one of the statistical models that has been proposed for classification in the machine learning and data mining communities, and also one of the effective methodologies in the kernel–machine techniques.
Embong, A. (A) +3 more
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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 +3 more
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Using Simulation In Teaching Simple Linear Regression [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2012 This paper aims to use simulation in teaching simple linear regression, computer stimulation can be used to teach complicated statistical concepts in linear regression more quickly and effectively than traditional lecture alone.
ALBRIA A., ISAM K. ALANI, AHMED H. ALANI
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