Minimum distance estimator for a hyperbolic stochastic partial differentialequation
Applicationes Mathematicae (2000)
- Volume: 27, Issue: 2, page 225-238
- ISSN: 1233-7234
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topMonsan, Vincent, and N'zi, Modeste. "Minimum distance estimator for a hyperbolic stochastic partial differentialequation." Applicationes Mathematicae 27.2 (2000): 225-238. <http://eudml.org/doc/219270>.
@article{Monsan2000,
abstract = {We study a minimum distance estimator in $L_2$-norm for a class ofnonlinear hyperbolic stochastic partial differential equations, driven by atwo-parameter white noise. The consistency and asymptotic normality of thisestimator are established under some regularity conditions on thecoefficients. Our results are applied to the two-parameterOrnstein-Uhlenbeck process.},
author = {Monsan, Vincent, N'zi, Modeste},
journal = {Applicationes Mathematicae},
keywords = {random fields; stochastic partial differential equations; small noise; minimum distance estimator},
language = {eng},
number = {2},
pages = {225-238},
title = {Minimum distance estimator for a hyperbolic stochastic partial differentialequation},
url = {http://eudml.org/doc/219270},
volume = {27},
year = {2000},
}
TY - JOUR
AU - Monsan, Vincent
AU - N'zi, Modeste
TI - Minimum distance estimator for a hyperbolic stochastic partial differentialequation
JO - Applicationes Mathematicae
PY - 2000
VL - 27
IS - 2
SP - 225
EP - 238
AB - We study a minimum distance estimator in $L_2$-norm for a class ofnonlinear hyperbolic stochastic partial differential equations, driven by atwo-parameter white noise. The consistency and asymptotic normality of thisestimator are established under some regularity conditions on thecoefficients. Our results are applied to the two-parameterOrnstein-Uhlenbeck process.
LA - eng
KW - random fields; stochastic partial differential equations; small noise; minimum distance estimator
UR - http://eudml.org/doc/219270
ER -
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