AbstractFor certain types of stochastic processes {Xn | n ∈ N}, which are integrable and adapted to a nondecreasing sequence of σ-algebras Fn on a probability space (Ω, F, P), several authors have studied the following problems: IfSdenotes the class of all stopping times for the stochastic basis {Fn | n ∈ N}, when issups ∫Ω | Xσ | dP finite, and when is there a stopping time σ for which this supremum is attained? In the present paper we set the problem in a measure theoretic framework. This approach turns out to be fruitful since it reveals the root of the problem: It avoids the use of such notions as probability, null set, integral, and even σ-additivity. It thus allows a considerable generalization of known results, simplifies proofs, and...
We consider the theory of stopping bounded processes within the framework of Hudson-Parthasarathy qu...
AbstractThis paper concerns the optimal stopping problem for discrete time multiparameter stochastic...
AbstractIn this paper, for any submartingale of class (Σ) defined on a filtered probability space (Ω...
AbstractFor certain types of stochastic processes {Xn | n ∈ N}, which are integrable and adapted to ...
For certain types of stochastic processes {Xn n [set membership, variant] }, which are integrable an...
We start proceeding with the stopping time theory in discrete time with the help of the Mizar system...
AbstractGiven a random time, we give some characterizations of the set of martingales for which the ...
Given a random time, we give some characterizations of the set of martingales for which the stopping...
AbstractWe explore properties of the value function and existence of optimal stopping times for func...
AbstractIn this paper, for any submartingale of class (Σ) defined on a filtered probability space (Ω...
AbstractLet (Ω,J,P;Jz) be a probability space with an increasing family of sub-σ-fields {Jz, z ∈ D},...
AbstractA theory of non-commutative stopping time is presented in the case where the underlying Von ...
AbstractThis paper is devoted to efficient sequential estimation in stochastic processes whose corre...
AbstractIn classical probability theory, a random time T is a stopping time in a filtration (Ft)t⩾0 ...
AbstractWe explore properties of the value function and existence of optimal stopping times for func...
We consider the theory of stopping bounded processes within the framework of Hudson-Parthasarathy qu...
AbstractThis paper concerns the optimal stopping problem for discrete time multiparameter stochastic...
AbstractIn this paper, for any submartingale of class (Σ) defined on a filtered probability space (Ω...
AbstractFor certain types of stochastic processes {Xn | n ∈ N}, which are integrable and adapted to ...
For certain types of stochastic processes {Xn n [set membership, variant] }, which are integrable an...
We start proceeding with the stopping time theory in discrete time with the help of the Mizar system...
AbstractGiven a random time, we give some characterizations of the set of martingales for which the ...
Given a random time, we give some characterizations of the set of martingales for which the stopping...
AbstractWe explore properties of the value function and existence of optimal stopping times for func...
AbstractIn this paper, for any submartingale of class (Σ) defined on a filtered probability space (Ω...
AbstractLet (Ω,J,P;Jz) be a probability space with an increasing family of sub-σ-fields {Jz, z ∈ D},...
AbstractA theory of non-commutative stopping time is presented in the case where the underlying Von ...
AbstractThis paper is devoted to efficient sequential estimation in stochastic processes whose corre...
AbstractIn classical probability theory, a random time T is a stopping time in a filtration (Ft)t⩾0 ...
AbstractWe explore properties of the value function and existence of optimal stopping times for func...
We consider the theory of stopping bounded processes within the framework of Hudson-Parthasarathy qu...
AbstractThis paper concerns the optimal stopping problem for discrete time multiparameter stochastic...
AbstractIn this paper, for any submartingale of class (Σ) defined on a filtered probability space (Ω...