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  • Search: subject:"Least-squares linear regression"
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Subject
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Least-squares linear regression 2 Autoregressive approximation, Generalized least squares, Linear regression, Long-range dependence, Spectral density 1 Dynamic programming 1 Gibbs sampling 1 Inconsistency 1 Inferenzstatistik 1 Markov decision process 1 Methode der kleinsten Quadrate 1 Monte-Carlo-Methode 1 Regression 1 Sampling design 1 Strong consistency 1 Theorie 1 Weed mapping 1 Zeitreihenanalyse 1
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Undetermined 2 Free 1
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Article 2 Book / Working Paper 1
Type of publication (narrower categories)
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Working Paper 1
Language
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Undetermined 2 English 1
Author
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Bonneau, Mathieu 1 Gaba, Sabrina 1 Kapetanios, George 1 Peyrard, Nathalie 1 Psaradakis, Zacharias 1 Sabbadin, Régis 1 den Boer, A.V. 1
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Computational Statistics & Data Analysis 1 Statistics & Probability Letters 1 Working Paper 1
Source
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RePEc 2 EconStor 1
Showing 1 - 3 of 3
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Reinforcement learning-based design of sampling policies under cost constraints in Markov random fields: Application to weed map reconstruction
Bonneau, Mathieu; Gaba, Sabrina; Peyrard, Nathalie; … - In: Computational Statistics & Data Analysis 72 (2014) C, pp. 30-44
Weeds are responsible for yield losses in arable fields, whereas the role of weeds in agro-ecosystem food webs and in providing ecological services has been well established. Innovative weed management policies have to be designed to handle this trade-off between production and regulation...
Persistent link: https://www.econbiz.de/10011056570
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Does adding data always improve linear regression estimates?
den Boer, A.V. - In: Statistics & Probability Letters 83 (2013) 3, pp. 829-835
show in a least-squares linear regression setting that this intuition is wrong. Adding data may worsen the quality of …
Persistent link: https://www.econbiz.de/10010616869
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Semiparametric sieve-type GLS inference in regressions with long-range dependence
Kapetanios, George; Psaradakis, Zacharias - 2007
This paper considers the problem of statistical inference in linear regression models whose stochastic regressors and errors may exhibit long-range dependence. A time-domain sieve-type generalized least squares (GLS) procedure is proposed based on an autoregressive approximation to the...
Persistent link: https://www.econbiz.de/10010284208
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