The notion of distribution function with respect to a conditional expectation is defined and studied in the framework of Riesz spaces.Keywords: Riesz space, conditional expectation operator, distribution function, Daniell integra
We prove the existence of conditional expectation operator on the space of measurable sections. We a...
In this paper, we prove the structure theorems for the space of compactly supported distributions (E...
[[abstract]]In the present paper, we give some general theorems on characterizations based on condit...
Abstract. The purpose of this paper is to establish the Riesz theorem of linear continuous functiona...
Let the set of functions defined on R with support contained in [a, b] and has deriva- tives of all...
AbstractConditional expectations operators acting on Riesz spaces are shown to commute with a class ...
A detailed study of the structure of conditional expectations and conditional probability measures i...
AbstractA detailed study of the structure of conditional expectations and conditional probability me...
We use integration by parts formulas to give estimates for the L p norm of the Riesz transform. This...
AbstractWe use integration by parts formulas to give estimates for the Lp norm of the Riesz transfor...
We introduce a notion of the derivative with respect to a distribution function, not relating necess...
This thesis derives the theory of distributions, starting with test functions as a basis. Distributi...
Let E,F two Polish spaces and [X_n,Y_n], [X,Y] random variables with values in Etimes F (not necess...
Let ([Omega], [Sigma], P) be a fixed complete probability space, the real Schwartz space, and its st...
In this paper, we describe a theory of a cumulative distribution function on a space with an order f...
We prove the existence of conditional expectation operator on the space of measurable sections. We a...
In this paper, we prove the structure theorems for the space of compactly supported distributions (E...
[[abstract]]In the present paper, we give some general theorems on characterizations based on condit...
Abstract. The purpose of this paper is to establish the Riesz theorem of linear continuous functiona...
Let the set of functions defined on R with support contained in [a, b] and has deriva- tives of all...
AbstractConditional expectations operators acting on Riesz spaces are shown to commute with a class ...
A detailed study of the structure of conditional expectations and conditional probability measures i...
AbstractA detailed study of the structure of conditional expectations and conditional probability me...
We use integration by parts formulas to give estimates for the L p norm of the Riesz transform. This...
AbstractWe use integration by parts formulas to give estimates for the Lp norm of the Riesz transfor...
We introduce a notion of the derivative with respect to a distribution function, not relating necess...
This thesis derives the theory of distributions, starting with test functions as a basis. Distributi...
Let E,F two Polish spaces and [X_n,Y_n], [X,Y] random variables with values in Etimes F (not necess...
Let ([Omega], [Sigma], P) be a fixed complete probability space, the real Schwartz space, and its st...
In this paper, we describe a theory of a cumulative distribution function on a space with an order f...
We prove the existence of conditional expectation operator on the space of measurable sections. We a...
In this paper, we prove the structure theorems for the space of compactly supported distributions (E...
[[abstract]]In the present paper, we give some general theorems on characterizations based on condit...