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On estimating the derivatives of symmetric diffusions in stationary random environment, with applications to ⊇Φ interface model

Author
DELMOTTE, T1 ; DEUSCHEL, J.-D2
[1] Laboratoire de Statistique et Probabilités, Université Paul Sabatier, 118, route de Narbonne, 31062 Toulouse, France
[2] TU Berlin, Fak. II Mathematik/Naturwissenschaften, Institut für Mathematik, Strasse des 17. Juni 136, 10623 Berlin, Germany
Source

Probability theory and related fields. 2005, Vol 133, Num 3, pp 358-390, 33 p ; ref : 1 p.1/4

CODEN
PTRFEU
ISSN
0178-8051
Scientific domain
Mathematics
Publisher
Springer, Berlin / Springer, Heidelberg / Springer, New York, NY
Publication country
Germany
Document type
Article
Language
English
Keyword (fr)
Espace temps Estimation statistique Marche aléatoire Théorie Ginzburg Landau Théorie probabilité Continuité Hölder Diffusion symétrique Environnement aléatoire Existence
Keyword (en)
Space time Statistical estimation Random walk Ginzburg-Landau theory Probability theory
Keyword (es)
Espacio tiempo Estimación estadística Marcha aleatoria Teoría probabilidad
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H01 Probability theory and stochastic processes / 001A02H01H Stochastic processes

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H01 Probability theory and stochastic processes / 001A02H01K Special processes (renewal theory, markov renewal processes, semi-markov processes, statistical mechanics type models, applications)

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
17200681

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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