It is known that the theory of Markov processes is a rapidly developing field with numerous applications to many branches of mathematics and physics, biology, and so on. But there are some physical models which cannot be described by such processes. One of such models is related to population genetics. These processes are called quadratic stochastic processes (q.s.p.). In the present paper, we associate to given q.s.p. two kind of processes, which call marginal processes. Note that one of them is Markov process. We prove that such kind of processes uniquely define q.s.p. Moreover, we provide a construction of nontrivial examples of q.s.p.Weak ergodicity of q.s.p. is also studied in terms of the marginal processes
The work presented in this thesis was done during the period October, 1953 to July, 1955. The work i...
The weak ergodic theorems of mathematical demography state that the age distribution of a closed pop...
A quadratic stochastic operator (in short QSO) is usually used to present the time evolution of diff...
The history of the quadratic stochastic operators can be traced back to the work of Bernshtein (1924...
AbstractIn the paper we prove that a quadratic stochastic process satisfies the ergodic principle if...
The consideration of quantitative data is often required to perform research in both the physical an...
A linear stochastic (Markov) operator is a positive linear contraction which preserves the simplex. ...
This book has two-fold aims. In a first part it gives an introductory, thorough and essentially self...
Le;vy processes form a wide and rich class of random process, and have many applications ranging fro...
Quadratic dynamical systems have been proved to be a rich source of analysis for the investigation o...
(Communicated by Fraydoun Rezakhanlou) Abstract. In the present paper we investigate the L1-weak erg...
An Introduction to Stochastic Processes with Applications to Biology, Second Edition presents the ba...
This book presents a concise introduction to piecewise deterministic Markov processes (PDMPs), with ...
Markov processes which are reversible with either Gamma, Normal, Poisson or Negative Binomial statio...
Quadratic dynamical systems have been proved to be a rich source of analysis for the investigation o...
The work presented in this thesis was done during the period October, 1953 to July, 1955. The work i...
The weak ergodic theorems of mathematical demography state that the age distribution of a closed pop...
A quadratic stochastic operator (in short QSO) is usually used to present the time evolution of diff...
The history of the quadratic stochastic operators can be traced back to the work of Bernshtein (1924...
AbstractIn the paper we prove that a quadratic stochastic process satisfies the ergodic principle if...
The consideration of quantitative data is often required to perform research in both the physical an...
A linear stochastic (Markov) operator is a positive linear contraction which preserves the simplex. ...
This book has two-fold aims. In a first part it gives an introductory, thorough and essentially self...
Le;vy processes form a wide and rich class of random process, and have many applications ranging fro...
Quadratic dynamical systems have been proved to be a rich source of analysis for the investigation o...
(Communicated by Fraydoun Rezakhanlou) Abstract. In the present paper we investigate the L1-weak erg...
An Introduction to Stochastic Processes with Applications to Biology, Second Edition presents the ba...
This book presents a concise introduction to piecewise deterministic Markov processes (PDMPs), with ...
Markov processes which are reversible with either Gamma, Normal, Poisson or Negative Binomial statio...
Quadratic dynamical systems have been proved to be a rich source of analysis for the investigation o...
The work presented in this thesis was done during the period October, 1953 to July, 1955. The work i...
The weak ergodic theorems of mathematical demography state that the age distribution of a closed pop...
A quadratic stochastic operator (in short QSO) is usually used to present the time evolution of diff...