In this paper we studied a least squares estimation parameters of the Generalized Space
Time AutoRegressive (GSTAR) model and its properties, especially in consistency and …

ABSTRACT Generalized Space Time Autoregressive (GSTAR) is one of space-time models
that frequently used for forecasting spatio-temporal data. Up to now, the researches about …

ABSTRACT The Generalised Space-Time Seasonal Autoregressive Integrated Moving
Average (GSTSARIMA) model is known to efficiently handle non-stationary and seasonal …

A neural network constitutes a non-linear model requiring no statistical assumption. Along
with the development of which, the neural network model has been frequently combined …

A Generalized Space Time Autoregressive or GSTAR is a special model of Vector
Autoregressive (VAR) model which is a combination of time series and spatial models which …

The stochastic process models with the index parameters such as time and location were
investigated in this paper. The model used was GSTAR (1; 1), and it was applied to the …

Inflation is defined as a situation where generally the price of goods has increased
continuously. In order to measure inflation, Statistics of Indonesia (BPS) use the Consumer …

In this paper we proposed the Generalized Space Time Autoregressive with variable
Exogenous, abbreviated GSTARX as GSTAR development with the addition of exogenous …

Covid-19 has occurred throughout the world, including Indonesia. The spread of the
coronavirus from human to human is happening very rapidly. This has caused the spread of …

Stationarity is an essential requirement in modeling GSTAR space-time. GSTAR modeling
adopted from the three iterative Box-Jenkins time series modeling. The stages are model …