Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Dalibor Volný"'
Publikováno v:
Stochastic Processes and their Applications. 130:1853-1878
We study limit theorems for partial sums of instantaneous functions of a homogeneous Markov chain on a general state space. The summands are heavy-tailed and the limits are stable distributions. The conditions imposed on the transition operator $P$ o
Publikováno v:
Electronic Communications in Probability. 27
Autor:
Dalibor Volný
Publikováno v:
Stochastic Processes and their Applications
Stochastic Processes and their Applications, Elsevier, 2018
Stochastic Processes and their Applications, Elsevier, 2018
We prove a central limit theorem for stationary multiple (random) fields of martingale differences f ∘ T i , i ∈ Z d , where T i is a Z d action. In most cases the multiple (random) fields of martingale differences is given by a completely commut
Autor:
Dalibor Volný
Publikováno v:
Stochastic Processes and their Applications. 132:261-262
Autor:
Yizao Wang, Dalibor Volný
Publikováno v:
Stochastic Processes and their Applications. 127:2088-2091
Publikováno v:
Stochastic Processes and their Applications. 126:1819-1838
Recently, invariance principles for partial sums of Bernoulli random fields over rectangular index sets have been proved under Hannan’s condition. In this note we complement previous results by establishing limit theorems for weighted Bernoulli ran
Autor:
Magda Peligrad, Dalibor Volný
Publikováno v:
Journal of Theoretical Probability
Journal of Theoretical Probability, Springer, 2019, ⟨10.1007/s10959-019-00914-z⟩
Journal of Theoretical Probability, Springer, 2019, ⟨10.1007/s10959-019-00914-z⟩
In this paper we study the central limit theorem and its functional form for random fields which are not started from their equilibrium, but rather under the measure conditioned by the past sigma field. The initial class considered is that of orthoma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91d4aa34707487664dd7306c7950fbb8
http://arxiv.org/abs/1802.09106
http://arxiv.org/abs/1802.09106
Autor:
Yizao Wang, Dalibor Volný
Publikováno v:
Stochastic Processes and their Applications. 124:4012-4029
We establish an invariance principle for a general class of stationary random fields indexed by Z d , under Hannan’s condition generalized to Z d . To do so we first establish a uniform integrability result for stationary orthomartingales, and seco
Publikováno v:
Statistics
Statistics, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2017, Special Issue in Honour of Paul Doukhan: Selected Papers from the Conference on the Occasion of Paul Doukhan’s 60th Birthday: Dependence, Limit Theorems and Applications, 51 (1), pp.167-187. ⟨10.1080/02331888.2016.1261912⟩
Statistics, 2017, Special Issue in Honour of Paul Doukhan: Selected Papers from the Conference on the Occasion of Paul Doukhan’s 60th Birthday: Dependence, Limit Theorems and Applications, 51 (1), pp.167-187. ⟨10.1080/02331888.2016.1261912⟩
Statistics, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2017, Special Issue in Honour of Paul Doukhan: Selected Papers from the Conference on the Occasion of Paul Doukhan’s 60th Birthday: Dependence, Limit Theorems and Applications, 51 (1), pp.167-187. ⟨10.1080/02331888.2016.1261912⟩
Statistics, 2017, Special Issue in Honour of Paul Doukhan: Selected Papers from the Conference on the Occasion of Paul Doukhan’s 60th Birthday: Dependence, Limit Theorems and Applications, 51 (1), pp.167-187. ⟨10.1080/02331888.2016.1261912⟩
International audience; The purpose of this paper is to prove, under mild conditions, the asymptotic normality of the rank estimator of the slope parameter of a simple linear regression model with stationary associated errors. This result follows fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::043f648b6ff163fab7844d21e0c5a060
https://hal.archives-ouvertes.fr/hal-01892322
https://hal.archives-ouvertes.fr/hal-01892322
Publikováno v:
Stochastics and Dynamics. 11:71-80
The Central Limit Theorem is studied for stationary sequences that are sums of countable collections of linear processes. Two sets of sufficient conditions are obtained. One restricts only the coefficients and is shown to be best possible among such