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pro vyhledávání: '"Bifurcating autoregressive process"'
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Publikováno v:
Statistics and Probability Letters
Statistics and Probability Letters, Elsevier, 2018, 138, pp.20-26. 〈10.1016/j.spl.2018.02.037〉
Statistics and Probability Letters, Elsevier, 2018, 138, pp.20-26. ⟨10.1016/j.spl.2018.02.037⟩
Statistics and Probability Letters, Elsevier, 2018, 138, pp.20-26. 〈10.1016/j.spl.2018.02.037〉
Statistics and Probability Letters, Elsevier, 2018, 138, pp.20-26. ⟨10.1016/j.spl.2018.02.037⟩
International audience; Recently, nonparametric techniques have been proposed to study bifurcating autoregressive processes. One can build Nadaraya–Watson type estimators of the two autoregressive functions as in Bitseki Penda et al. (Bitseki Penda
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba63ba3ae95fbbd6cd8be81a61a9d9c7
https://hal.archives-ouvertes.fr/hal-01710079
https://hal.archives-ouvertes.fr/hal-01710079
We propose an adaptive estimator for the stationary distribution of a bifurcating Markov Chain on $\mathbb R^d$. Bifurcating Markov chains (BMC for short) are a class of stochastic processes indexed by regular binary trees. A kernel estimator is prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::289eec3c4aa5d63cacae4a703fc001bd
https://hal.archives-ouvertes.fr/hal-01557228/document
https://hal.archives-ouvertes.fr/hal-01557228/document
Publikováno v:
Annals of Applied Probability
Annals of Applied Probability, 2014, 24 (1), pp.235-291. ⟨10.1214/13-AAP921⟩
Annals of Applied Probability, Institute of Mathematical Statistics (IMS), 2014, 24 (1), pp.235-291. ⟨10.1214/13-AAP921⟩
Ann. Appl. Probab. 24, no. 1 (2014), 235-291
Annals of Applied Probability, 2014, 24 (1), pp.235-291. ⟨10.1214/13-AAP921⟩
Annals of Applied Probability, Institute of Mathematical Statistics (IMS), 2014, 24 (1), pp.235-291. ⟨10.1214/13-AAP921⟩
Ann. Appl. Probab. 24, no. 1 (2014), 235-291
First, under a geometric ergodicity assumption, we provide some limit theorems and some probability inequalities for the bifurcating Markov chains (BMC). The BMC model was introduced by Guyon to detect cellular aging from cell lineage, and our aim is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b54a4c271e934b5a73292ac2c95f50e3
https://hal.science/hal-00646588
https://hal.science/hal-00646588
Publikováno v:
Bernoulli
Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2016
Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2017, 23 (4B), pp.3598-3637. 〈10.3150/16-BEJ859〉
Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2017, 23 (4B), pp.3598-3637. ⟨10.3150/16-BEJ859⟩
Bernoulli 23, no. 4B (2017), 3598-3637
Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2016
Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2017, 23 (4B), pp.3598-3637. 〈10.3150/16-BEJ859〉
Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2017, 23 (4B), pp.3598-3637. ⟨10.3150/16-BEJ859⟩
Bernoulli 23, no. 4B (2017), 3598-3637
International audience; In a first part, we prove Bernstein-type deviation inequalities for bifurcating Markov chains (BMC) under a geometric ergodicity assumption, completing former results of Guyon and Bitseki Penda, Djellout and Guillin. These pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7da62ad7767fb5d6a9f81986f097558d
https://hal.archives-ouvertes.fr/hal-01251594/file/BHO.pdf
https://hal.archives-ouvertes.fr/hal-01251594/file/BHO.pdf
Autor:
Olivier, Adelaïde
Cette étude théorique est pensée en lien étroit avec un champ d'application : il s'agit de modéliser la croissance d'une population de cellules qui se divisent selon un taux de division inconnu, fonction d’une variable dite structurante – l
Externí odkaz:
http://www.theses.fr/2015PA090047/document
Autor:
Olivier, Adelaïde
Publikováno v:
Statistics [math.ST]. Université Paris Dauphine-Paris IX, 2015. English. ⟨NNT : 2015PA090047⟩
This work is concerned with growth-fragmentation models, implemented for investigating the growth of a population of cells which divide according to an unknown splitting rate, depending on a structuring variable – age and size being the two paradig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::2c304571b0897439a7ea59a88fc110aa
https://hal.archives-ouvertes.fr/tel-01235239
https://hal.archives-ouvertes.fr/tel-01235239
Autor:
Bernard Bercu, Vassili Blandin
Publikováno v:
Statistical Inference for Stochastic Processes
Statistical Inference for Stochastic Processes, 2015, 18 (1), pp.33-67. ⟨10.1007/s11203-014-9105-6⟩
Statistical Inference for Stochastic Processes, Springer Verlag, 2014, 17, pp.1-37
Statistical Inference for Stochastic Processes, Springer Verlag, 2015, 18 (1), pp.33-67. ⟨10.1007/s11203-014-9105-6⟩
Statistical Inference for Stochastic Processes, 2015, 18 (1), pp.33-67. ⟨10.1007/s11203-014-9105-6⟩
Statistical Inference for Stochastic Processes, Springer Verlag, 2014, 17, pp.1-37
Statistical Inference for Stochastic Processes, Springer Verlag, 2015, 18 (1), pp.33-67. ⟨10.1007/s11203-014-9105-6⟩
We study the asymptotic behavior of the weighted least squares estimators of the unknown parameters of bifurcating integer-valued autoregressive processes. Under suitable assumptions on the immigration, we establish the almost sure convergence of our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daab2cc8d1d5893d17b313e4896cfbfe
https://hal.science/hal-02489113
https://hal.science/hal-02489113
Akademický článek
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