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Nonparametric estimation for stationary and strongly mixing processes on Riemannian manifolds
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作者 Amour T.Gbaguidi Amoussou Freedath Djibril Moussa +1 位作者 Carlos Ogouyandjou Mamadou Abdoul Diop 《Communications in Mathematics and Statistics》 SCIE 2022年第4期599-621,共23页
In this paper,nonparametric estimation for a stationary strongly mixing and manifoldvalued process(X_(j))is considered.In this non-Euclidean and not necessarily i.i.d setting,we propose kernel density estimators of th... In this paper,nonparametric estimation for a stationary strongly mixing and manifoldvalued process(X_(j))is considered.In this non-Euclidean and not necessarily i.i.d setting,we propose kernel density estimators of the joint probability density function,of the conditional probability density functions and of the conditional expectations of functionals of X_(j)given the past behavior of the process.We prove the strong consistency of these estimators under sufficient conditions,and we illustrate their performance through simulation studies and real data analysis. 展开更多
关键词 Riemannian manifolds Nonparametric estimation Kernel density estimation stationary and strongly mixing processes Strong consistency
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A Class of Smoothing-regularization Methods to Mathematical Programs with Vanishing Constraints
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作者 HU Qingjie MA Lili CHEN Yu 《数学进展》 CSCD 北大核心 2024年第5期953-973,共21页
this paper,we propose a class of smoothing-regularization methods for solving the mathematical programming with vanishing constraints.These methods include the smoothing-regularization method proposed by Kanzow et al.... this paper,we propose a class of smoothing-regularization methods for solving the mathematical programming with vanishing constraints.These methods include the smoothing-regularization method proposed by Kanzow et al.in[Comput.Optim.Appl.,2013,55(3):733-767]as a special case.Under the weaker conditions than the ones that have been used by Kanzow et al.in 2013,we prove that the Mangasarian-Fromovitz constraint qualification holds at the feasible points of smoothing-regularization problem.We also analyze that the convergence behavior of the proposed smoothing-regularization method under mild conditions,i.e.,any accumulation point of the stationary point sequence for the smoothing-regularization problem is a strong stationary point.Finally,numerical experiments are given to show the efficiency of the proposed methods. 展开更多
关键词 mathematical programs with vanishing constraints smoothing-regularization method VC-MFCQ strong stationary point
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The Birth–death Processes with Regular Boundary: Stationarity and Quasi-stationarity
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作者 Wu Jun GAO Yong Hua MAO Chi ZHANG 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2022年第5期890-906,共17页
For the birth–death Q-matrix with regular boundary,its minimal process and its maximal process are closely related.In this paper,we obtain the uniform decay rate and the quasi-stationary distribution for the minimal ... For the birth–death Q-matrix with regular boundary,its minimal process and its maximal process are closely related.In this paper,we obtain the uniform decay rate and the quasi-stationary distribution for the minimal process.And via the construction theory,we mainly derive the eigentime identity and the distribution of the fastest strong stationary time(FSST)for the maximal process. 展开更多
关键词 Birth-death process regular boundary EIGENVALUE hitting time strong stationary time quasi-stationary distribution
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Markov branching processes with killing and resurrection
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作者 CHEN An Yue LU Ying +1 位作者 NG Kai Wang ZHANG Han Jun 《Science China Mathematics》 SCIE CSCD 2016年第3期573-588,共16页
In this paper, we consider Markov branching processes with killing and resurrection. We first show that the Markov branching process with killing and stable resurrection is just the Feller minimum process which is hon... In this paper, we consider Markov branching processes with killing and resurrection. We first show that the Markov branching process with killing and stable resurrection is just the Feller minimum process which is honest and thus unique. We then further show that this honest Feller minimum process is not only positive recurrent but also strongly ergodic. The generating function of the important stationary distribution is explicitly expressed. For the interest of comparison and completeness, the results of the Markov branching processes with killing and instantaneous resurrection are also briefly stated. A new result regarding strong ergodicity of this difficult case is presented. The birth and death process with killing and resurrection together with another example is also analyzed. 展开更多
关键词 Markov branching processes killing stable and instantaneous resurrections uniqueness existence limiting and stationary distributions ergodicity strong ergodicity
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