Sentence examples for modeling time series from inspiring English sources

The ARIMA (p, d, q) models are first introduced by Box and Jenkins in 1970 [42] for purposes of modeling time series data.

The reconciliation mechanisms are present quite vividly in any collective pursuit including distributed modeling, time series characterization and classification.

His research focuses on signal processing and machine learning for modeling time series medical signals.

One possibility is that, for modeling time series, it is possible to obtain different types of GARCH processes in each regime, i.e., a time series could follow a GARCH process in one regime, while following an APGARCH or FIAPGARCH process in the second regime.

Functional data analysis (FDA) is one such approach towards modeling time series data that has started to receive attention in the literature, particularly in terms of its public health and biomedical applications.

Students with strong backgrounds are encouraged to enter the second year sequence which covers modern asymptotic theory, parametric and nonparametric modeling, time series, panel data methods, and microeconometrics.

For modeling time-series with long memory, there are two types of formulations that have attracted interest of practitioners [8].

Regression modeling, time-series modeling, pattern recognition modeling and stochastic process modeling are tested to model the expected occupancy status and their performances are compared in terms of the degree of statistical approximation to actual occupancy.

We aim at modeling time-series with diverse memory properties in a unified manner so that a method for inference of heterogeneous time-varying data can be proposed.

The structure proposed in equation (6) was tested and validated by comparing the outcomes of two different modeling schemes, namely linear time series modeling and fuzzy modeling.

Second, the VQ is a lightweight modeling approach and has not the ability to model complex time series.