Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Irene Votsi"'
Autor:
Sopheak Hem, Sowath Ly, Irene Votsi, Florian Vogt, Nima Asgari, Philippe Buchy, Seiha Heng, Mathieu Picardeau, Touch Sok, Sovann Ly, Rekol Huy, Bertrand Guillard, Simon Cauchemez, Arnaud Tarantola
Publikováno v:
PLoS ONE, Vol 11, Iss 4, p e0151555 (2016)
Leptospirosis is an emerging but neglected public health challenge in the Asia/Pacific Region with an annual incidence estimated at 10-100 per 100,000 population. No accurate data, however, are available for at-risk rural Cambodian communities.We con
Externí odkaz:
https://doaj.org/article/9d47feda30634adc9cc6245cf7ad4470
Publikováno v:
Statistical Inference for Stochastic Processes. 24:707-732
In this paper, we adopt a nonparametric Bayesian approach and investigate the asymptotic behavior of the posterior distribution in continuous-time and general state space semi-Markov processes. In particular, we obtain posterior concentration rates f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be80044ab3329275d9f57d10697fb2a8
https://doi.org/10.1007/s11203-021-09247-3
https://doi.org/10.1007/s11203-021-09247-3
Autor:
Alexandre Brouste, Irene Votsi
Publikováno v:
Journal of Applied Statistics. 46:1756-1773
Mean times to failure are fundamental indicators in reliability and related fields where stochastic processes are used to describe random, real-life systems. Here we focus on the conditional mean t...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c9a0c510057e8bd7cafeae294b6ecfb
https://doi.org/10.1080/02664763.2019.1566449
https://doi.org/10.1080/02664763.2019.1566449
Publikováno v:
ESAIM: Probability and Statistics
ESAIM: Probability and Statistics, EDP Sciences, 2020, 24, pp.827-841. ⟨10.1051/ps/2020022⟩
ESAIM: Probability and Statistics, EDP Sciences, 2020, 24, pp.827-841. ⟨10.1051/ps/2020022⟩
International audience; The present paper concerns the parametric estimation for the fractional Gaussian noise in a high-frequency observation scheme. The sequence of Le Cam’s one-step maximum likelihood estimators (OSMLE) is studied. This sequence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12316d33f5274c6bd589514b729dcf38
https://hal.archives-ouvertes.fr/hal-03022878/file/ps200035.pdf
https://hal.archives-ouvertes.fr/hal-03022878/file/ps200035.pdf
Autor:
Irene Votsi
Publikováno v:
Journal of Applied Statistics
Journal of Applied Statistics, Taylor & Francis (Routledge), 2019, ⟨10.1080/02664763.2019.1610164⟩
Journal of Applied Statistics, Taylor & Francis (Routledge), 2019, ⟨10.1080/02664763.2019.1610164⟩
International audience; In the present paper, we aim at providing plug-in-type empirical estimators based on empirical processes to quantify the contribution of each operational or/and non-functioning state to the failures of a system described semi-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84dc428203811b18d394bbce295c7771
https://hal.archives-ouvertes.fr/hal-01761067
https://hal.archives-ouvertes.fr/hal-01761067
Earthquake occurrence modeling is a rapidly developing research area. This book deals with its critical issues, ranging from theoretical advances to practical applications. The introductory chapter outlines state-of-the-art earthquake modeling approa
Autor:
Irene Votsi
Publikováno v:
Reliability Engineering ISBN: 9781351130363
This chapter presents the notation and preliminaries of hidden Markov renewal chains. Hidden Markov models are stochastic models that are widely used in numerous applications in reliability and DNA analysis, seismology, speech recognition, and so for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f240ab125475290bdfb5ceb53c2bf8d
https://hal.archives-ouvertes.fr/hal-01761064
https://hal.archives-ouvertes.fr/hal-01761064
Autor:
Irene Votsi, Nikolaos Limnios
Publikováno v:
Journal of Nonparametric Statistics. 27:149-166
In this paper, we focus on a fundamental reliability measure, the discrete-time intensity of the hitting time (DTIHT), which is the discrete analogue of the rate of occurrence of failures. The problem of evaluating and estimating the DTIHT is address
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76018b45274f998a7bc4c5c6edb60c82
https://doi.org/10.1080/10485252.2015.1009369
https://doi.org/10.1080/10485252.2015.1009369
Publikováno v:
Communications in Statistics - Theory and Methods. 43:1484-1502
The present article aims at the description and application of a discrete-time hidden semi-Markov model in seismology in order to reveal some key features of the earthquake generation process, associated with its causative factor, which is the underl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c40d57c8b82b4e7b48081d07080d37f0
https://doi.org/10.1080/03610926.2013.857414
https://doi.org/10.1080/03610926.2013.857414