The paper considers a problem of the new class processes modeling with “tubular” structure in the space of “input-output” variables. Modeling of these class processes differs essentially from the generally accepted parametric models being a surface of the same space. A question of multidimensional systems mod- eling having small volume of learning samples is analyzed specially. For building learnt parametric models of “tubular” processes a corresponding non parametric indicator is introduced
An extensive though scattered literature exists on the estimation of the model parameters of time de...
The paper presents the interchangeability conditions for the finite-dimensional, infinite-dimensiona...
This paper introduces Gaussian Process Dynamical Models (GPDM) for nonlinear time series analysis. A...
The paper considers a problem of the new class processes modeling with “tubular” structure in the s...
The problem of the discrete continuous processes having "tubular" structure in space "input-output" ...
In this paper we consider the problem of modeling noninertial processes with stochastic dependence b...
Текст статьи не публикуется в открытом доступе в соответствии с политикой журнала
The paper devotes to modeling tasks of multidimensional inertialess objects with delay (MIOD). The d...
The paper considers an identiЇcation problem for stochastic static systems with delay. The identiЇc...
The report considers the case when multidimensional memoryless objects have an unknown stochastic de...
The results of measurements of input-output variables of dynamical object are used for base for con...
The task of nonparametric identification of dynamic objects with discrete-continuous nature of the p...
We address the problem of performing decision tasks and, in particular, classification and recogniti...
The problem of modeling of non-Gaussian processes generated by linear systems driven by white non-Ga...
We present a family of autoregressive models with nonparametric stationary and transition densities,...
An extensive though scattered literature exists on the estimation of the model parameters of time de...
The paper presents the interchangeability conditions for the finite-dimensional, infinite-dimensiona...
This paper introduces Gaussian Process Dynamical Models (GPDM) for nonlinear time series analysis. A...
The paper considers a problem of the new class processes modeling with “tubular” structure in the s...
The problem of the discrete continuous processes having "tubular" structure in space "input-output" ...
In this paper we consider the problem of modeling noninertial processes with stochastic dependence b...
Текст статьи не публикуется в открытом доступе в соответствии с политикой журнала
The paper devotes to modeling tasks of multidimensional inertialess objects with delay (MIOD). The d...
The paper considers an identiЇcation problem for stochastic static systems with delay. The identiЇc...
The report considers the case when multidimensional memoryless objects have an unknown stochastic de...
The results of measurements of input-output variables of dynamical object are used for base for con...
The task of nonparametric identification of dynamic objects with discrete-continuous nature of the p...
We address the problem of performing decision tasks and, in particular, classification and recogniti...
The problem of modeling of non-Gaussian processes generated by linear systems driven by white non-Ga...
We present a family of autoregressive models with nonparametric stationary and transition densities,...
An extensive though scattered literature exists on the estimation of the model parameters of time de...
The paper presents the interchangeability conditions for the finite-dimensional, infinite-dimensiona...
This paper introduces Gaussian Process Dynamical Models (GPDM) for nonlinear time series analysis. A...