The problem of data processing and modeling for discrete and continuous processes widely used in various manufacturing branches is covered. It is expe- dient to apply the obtained results while developing and designing intellectual computer systems of different purposes. A new class of models of stochastic objects with statistical dependence among components of the input vector and design of these models is considered
In this paper we give simple proofs of identification results in discrete choice models for the case...
Abstracts: In this paper we give simple proofs of identification results in discrete choice models f...
The task of nonparametric identification of dynamic objects with discrete-continuous nature of the p...
The problem of data processing and modeling for discrete and continuous processes widely used in va...
When one wants to estimate a model without specifying the functions and distributions parametrically...
The report considers the case when multidimensional memoryless objects have an unknown stochastic de...
The problem of identification is defined in terms of the possibility of characterizing parameters of...
The article deals with the problem of modeling stochastic processes under uncertainty. The peculiari...
In this paper we consider the problem of modeling noninertial processes with stochastic dependence b...
This article is dedicated to the models for different types of systems creation problem. Identificat...
This contribution reviews theory, algorithms, and validation results for system identification of co...
This contribution reviews theory, algorithms, and validation results for system identification of co...
Multivariable and closed-loop identification of large scale industrial processes is studied. The pro...
I consider nonparametric identification of a nonseparable model with a continuous endogenous variabl...
Population models are used to describe the dynamics of different subjects belonging to a population ...
In this paper we give simple proofs of identification results in discrete choice models for the case...
Abstracts: In this paper we give simple proofs of identification results in discrete choice models f...
The task of nonparametric identification of dynamic objects with discrete-continuous nature of the p...
The problem of data processing and modeling for discrete and continuous processes widely used in va...
When one wants to estimate a model without specifying the functions and distributions parametrically...
The report considers the case when multidimensional memoryless objects have an unknown stochastic de...
The problem of identification is defined in terms of the possibility of characterizing parameters of...
The article deals with the problem of modeling stochastic processes under uncertainty. The peculiari...
In this paper we consider the problem of modeling noninertial processes with stochastic dependence b...
This article is dedicated to the models for different types of systems creation problem. Identificat...
This contribution reviews theory, algorithms, and validation results for system identification of co...
This contribution reviews theory, algorithms, and validation results for system identification of co...
Multivariable and closed-loop identification of large scale industrial processes is studied. The pro...
I consider nonparametric identification of a nonseparable model with a continuous endogenous variabl...
Population models are used to describe the dynamics of different subjects belonging to a population ...
In this paper we give simple proofs of identification results in discrete choice models for the case...
Abstracts: In this paper we give simple proofs of identification results in discrete choice models f...
The task of nonparametric identification of dynamic objects with discrete-continuous nature of the p...