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This article is cited in 1 scientific paper (total in 1 paper)
Probability theory and mathematical statistics
A remark on normalizations in a local large deviations principle for inhomogeneous birth – and – death process
A. V. Logachovabcd, Y. M. Suhovef, N. D. Vvedenskayag, A. A. Yambartsevh a Lab. of Probability Theory and Math. Statistics, Sobolev Institute of Mathematics, 4, Koptyuga ave., Novosibirsk, 630090, Russia
b Novosibirsk State University, 1, Pirogova str. Novosibirsk, 630090, Russia
c Dep. of High Math., Siberian State University of Geosystems and Technologies, 10, Plahotnogo str., Novosibirsk, 630108, Russia
d Novosibirsk State University of Economics and Management, 56, Kamenskaya str., Novosibirsk, 630099, Russia
e Math. Department, Penn State University, McAllister Buid, University Park, State College, PA 16802, USA
f Statistical Laboratory, DPMMS, University of Cambridge, Wilberforce Rd, Cambridge CB3 0WB, United Kingdom
g Institute for Information Transmission Problems, RAS, 19, Bolshoj Karetnyj Per., Moscow, 127051, Russia
h Institute of Mathematics and Statistics, University of São Paulo, Rua do Matão 1010, CEP 05508-090, São Paulo SP, Brazil
Abstract:
This work is a continuation of [13]. We consider a continuous-time birth – and – death process in which the transition rates are regularly varying function of the process position. We establish rough exponential asymptotic for the probability that a sample path of a normalized process lies in a neighborhood of a given nonnegative continuous function. We propose a variety of normalization schemes for which the large deviation functional preserves its natural integral form.
Keywords:
birth – and – death process, normalization (scaling), large deviations principle, local large deviations principle, rate function.
Received November 11, 2019, published September 7, 2020
Citation:
A. V. Logachov, Y. M. Suhov, N. D. Vvedenskaya, A. A. Yambartsev, “A remark on normalizations in a local large deviations principle for inhomogeneous birth – and – death process”, Sib. Èlektron. Mat. Izv., 17 (2020), 1258–1269
Linking options:
https://www.mathnet.ru/eng/semr1286 https://www.mathnet.ru/eng/semr/v17/p1258
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