The task of interval prediction of non-stationary processes of stochastic differential equations described by models is considered. Predictability of such processes is defined. Algorithms of interval prediction in the discrete and continuous time are received
This article concerns the construction of prediction intervals for time series models. The estimativ...
International audienceThis work presents set-valued algorithms to compute tight interval predictions...
Abstract. In this paper, we propose a general approach for fitting and forecasting the behavior of t...
The task of interval prediction of non-stationary processes of stochastic differential equations des...
The definition of information predictability stochastic process and its parameters is given in the a...
The necessary theoretical information for parameter estimation algorithms informational predictabili...
We construct prediction intervals for the observations of first-order autoregressive processes when ...
The necessary theoretical information for algorithms estimating unknown parameters useful for backgr...
The definition of one-step information predictability stochastic process in discrete time is given. ...
Webpage: https://eleurent.github.io/interval-prediction/International audienceThe problem of behavio...
Chapter IV. Stochastic Prediction 4.1 General principles 4.2 Autoregression process 4.3 Moving avera...
Introduction Chapter I. Time Series 1.1 Sample of a stochastic process 1.2 Stationarity and trend of...
International audienceAssuming that the behaviour of a nonlinear stochastic system can be described ...
This paper presents an interval prediction algorithm based on grey system modelling, which is propos...
We address the problem of sequence prediction for nonstationary sto-chastic processes. In particular...
This article concerns the construction of prediction intervals for time series models. The estimativ...
International audienceThis work presents set-valued algorithms to compute tight interval predictions...
Abstract. In this paper, we propose a general approach for fitting and forecasting the behavior of t...
The task of interval prediction of non-stationary processes of stochastic differential equations des...
The definition of information predictability stochastic process and its parameters is given in the a...
The necessary theoretical information for parameter estimation algorithms informational predictabili...
We construct prediction intervals for the observations of first-order autoregressive processes when ...
The necessary theoretical information for algorithms estimating unknown parameters useful for backgr...
The definition of one-step information predictability stochastic process in discrete time is given. ...
Webpage: https://eleurent.github.io/interval-prediction/International audienceThe problem of behavio...
Chapter IV. Stochastic Prediction 4.1 General principles 4.2 Autoregression process 4.3 Moving avera...
Introduction Chapter I. Time Series 1.1 Sample of a stochastic process 1.2 Stationarity and trend of...
International audienceAssuming that the behaviour of a nonlinear stochastic system can be described ...
This paper presents an interval prediction algorithm based on grey system modelling, which is propos...
We address the problem of sequence prediction for nonstationary sto-chastic processes. In particular...
This article concerns the construction of prediction intervals for time series models. The estimativ...
International audienceThis work presents set-valued algorithms to compute tight interval predictions...
Abstract. In this paper, we propose a general approach for fitting and forecasting the behavior of t...