National vaccination and local intervention impacts on covid-19 cases
COVID-19, as a global pandemic, has spread across Indonesia. Jakarta, as the capital of
Indonesia, is the province with the most positive cases. The government has issued various …
Indonesia, is the province with the most positive cases. The government has issued various …
Comparison between VAR, GSTAR, FFNN-VAR and FFNN-GSTAR models for forecasting oil production
Monthly data about oil production at several drilling wells is an example of spatio-temporal
data. The aim of this research is to propose nonlinear spatio-temporal model, ie …
data. The aim of this research is to propose nonlinear spatio-temporal model, ie …
Spatio-temporal forecasting: A survey of data-driven models using exogenous data
Forecasting Spatio-Temporal processes has been attracting a great deal of interest within
the research community. In this context, there is an increasing trend of proposing and …
the research community. In this context, there is an increasing trend of proposing and …
Generalized spatio temporal autoregressive rainfall-enso pattern in east java indonesia
Monthly rainfall analysis and forecasts are made to be able to provide a clear picture of the
rain and climate conditions that have occurred and will occur in the territory of Indonesia …
rain and climate conditions that have occurred and will occur in the territory of Indonesia …
Cross covariance normalized weight of GSTAR-SUR model as input of neural network model on precipitation forecasting
A Iriany, D Rosyida, AD Sulistyono… - … Information & Decision …, 2022 - sdbindex.com
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 …
with the development of which, the neural network model has been frequently combined …
Systematic literature review on an integrated Generalized Space Time Autoregressive Integrated Moving Average (GSTARIMA) Model with heteroscedastic error and …
Rapid climate change requires more powerful and precise modeling methods to forecast
future climate variability. The GSTARIMA Model is efficient, combining space-time analysis …
future climate variability. The GSTARIMA Model is efficient, combining space-time analysis …
[PDF][PDF] Implementation of Generalized Space Time Autoregressive (GSTAR)-Kriging model for predicting rainfall data at unobserved locations in West Java
AS Abdullah, S Matoha, DA Lubis… - Applied Mathematics …, 2018 - researchgate.net
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 …
Autoregressive (VAR) model which is a combination of time series and spatial models which …
Spatio-Temporal models with intervention effect for modelling the impact of Covid-19 on the tourism sector in Indonesia
M Prastuti, L Aridinanti… - Journal of Physics …, 2021 - iopscience.iop.org
Coronavirus is a virus that attacks the respiratory system, this disease due to viral infection is
called Covid-19. Since it was found at December 2019 in China, the Covid-19 outbreak has …
called Covid-19. Since it was found at December 2019 in China, the Covid-19 outbreak has …
Evolving Hybrid Generalized Space-Time Autoregressive Forecasting with Cascade Neural Network Particle Swarm Optimization
Background: The generalized space-time autoregressive (GSTAR) model is one of the most
widely used models for modeling and forecasting time series and location data. Methods: In …
widely used models for modeling and forecasting time series and location data. Methods: In …
Generalized Space Time Autoregressive of Chili Prices
Indonesian people are mostly like spicy. Therefore, Chili becomes an ingredient in cooking
that cannot be separated from Indonesian people. In certain months there is too much …
that cannot be separated from Indonesian people. In certain months there is too much …