Sentence examples for model for time series from inspiring English sources

The compound Poisson INAR(1) model for time series of overdispersed counts is considered.

ARIMA is a widely used statistical model for time series analysis and has also been used successfully in network traffic modeling [11, 12].

The other inference model is a Markov model for time series data.

In the following, we put forward a Markov spatial prediction model for time series data.

A Box-Jenkins transfer function model for time series was used with the analyses performed using SAS statistical software (Version 9.1, SAS Institute Inc ,Cary, North Carolina, USA).

We then employ two inference models with different underlying assumptions, a linear ODE model for steady-state data and a linear Markov model for time series data, to elucidate the core dorsal mesoderm and endoderm regulatory circuits.

Probabilistic and statistical aspects of non-linear and continuous-time models for time series data.

We describe the use of ensemble methods to build models for time series prediction.

In this paper, we investigate two newly developed stochastic models for time series prediction of energy consumption, namely Conditional Restricted Boltzmann Machine (CRBM) and Factored Conditional Restricted Boltzmann Machine (FCRBM).

A central issue in contemporary science is the development of nonlinear data driven statistical dynamical models for time series of noisy partial observations from nature or a complex model.

In this paper we introduce the Kumaraswamy autoregressive moving average models (KARMA), which is a dynamic class of models for time series taking values in the double bounded interval (a,b) following the Kumaraswamy distribution.