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Statistics & Risk Modeling

with Applications in Finance and Insurance

Editor-in-Chief: Stelzer, Robert

4 Issues per year


Cite Score 2016: 0.33

SCImago Journal Rank (SJR) 2016: 0.346
Source Normalized Impact per Paper (SNIP) 2016: 0.167

Mathematical Citation Quotient (MCQ) 2016: 0.32

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2196-7040
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Volume 29, Issue 3 (Aug 2012)
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On the functional local linear estimate for spatial regression

Abdelhak Chouaf / Ali Laksaci
  • 1 Univ. Djillali Liabes. Sidi Bel Abbes, Lab. de Mathematiques, Sidi Bel Abbes 22000, Algerien
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Published Online: 2012-08-31 | DOI: https://doi.org/10.1524/strm.2012.1114

Abstract

Consider Zi = (Xi,Yi), i ∈ ℤN be an F×ℝ-valued measurable strictly stationary spatial process, where F is a semi-metric space. We study the spatial covariation between Xi and Yi by using the local linear estimate of the functional spatial regression E[Yi|Xi]. The main result of this work is the establishment of the almost complete convergence for the proposed estimator, under some general conditions. We illustrate our methodology by applying the estimator to climatological data.

Keywords: consumption process; exponential Ornstein-Uhlenbeck process; utility maximization; dual method

About the article

* Correspondence address: Univ. Djillali Liabes. Sidi Bel Abbes, Lab. de Mathematiques, BP 89 Sidi Bel Abbes 22000, Algerien,


Published Online: 2012-08-31

Published in Print: 2012-08-01


Citation Information: Statistics & Risk Modeling with Applications in Finance and Insurance, ISSN (Print) 2193-1402, DOI: https://doi.org/10.1524/strm.2012.1114.

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[1]
Xianzhu Xiong, Peiqin Zhou, and Chen Ailian
Communications in Statistics - Theory and Methods, 2017, Page 0
[2]
Ali Laksaci, Mustapha Rachdi, and Saâdia Rahmani
Spatial Statistics, 2013, Volume 6, Page 1

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