Modelling COVID-19 growth cases of provinces in java Island by modified spatial weight matrix GSTAR through railroad passenger's mobility
Abstracts The movement of positive people Coronavirus Disease that was discovered in
2019 (Covid-19), written 2019-nCoV, from one location to another has a great opportunity to …
2019 (Covid-19), written 2019-nCoV, from one location to another has a great opportunity to …
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia
N Imro'ah - Spatial Statistics, 2023 - Elsevier
One factor that goes into the construction of a space–time model, in this case, the
Generalized Space–Time Autoregressive (GSTAR) model, is the weight matrix, which acts …
Generalized Space–Time Autoregressive (GSTAR) model, is the weight matrix, which acts …
Approximately linear INGARCH models for spatio-temporal counts
Existing integer-valued generalised autoregressive conditional heteroskedasticity
(INGARCH) models for spatio-temporal counts do not allow for negative parameter and …
(INGARCH) models for spatio-temporal counts do not allow for negative parameter and …
The generalized STAR modeling with minimum spanning tree approach of spatial weight matrix
The weight matrix is one of the most important things in Generalized Space–Time
Autoregressive (GSTAR) modeling. Commonly, the weight matrix is built based on the …
Autoregressive (GSTAR) modeling. Commonly, the weight matrix is built based on the …
Space-time integer-valued ARMA modelling for time series of counts
This paper introduces a new class of space-time integer-valued ARMA models referred to as
STINARMA. This class arises as the natural space-time extension of the INARMA models …
STINARMA. This class arises as the natural space-time extension of the INARMA models …
The space-time autoregressive modelling with time correlated errors for the number of vehicles in Purbaleunyi toll gates
U Mukhaiyar, FT Nabilah, US Pasaribu… - Journal of Physics …, 2022 - iopscience.iop.org
The space-time modelling considers the observations dependence based on time and
spatial simultaneously. One of popular models used is the Generalized Space-Time …
spatial simultaneously. One of popular models used is the Generalized Space-Time …
The Generalized STAR Modelling with Minimum Spanning Tree Approach of Weight Matrix for COVID-19 Case in Java Island
U Mukhaiyar, BI Bilad, US Pasaribu - Journal of Physics …, 2021 - iopscience.iop.org
The ongoing global Coronavirus 2019 (COVID-19) pandemic poses a major threat. The
spread of the COVID-19 virus is likely to occur from one location to another location due to …
spread of the COVID-19 virus is likely to occur from one location to another location due to …
The Generalized STAR Modeling with Heteroscedastic Effects
U Mukhaiyar, S Ramadhani - … : Jurnal Matematika Murni …, 2022 - ejournal.uin-malang.ac.id
Abstract In general, the Generalized Space Time Autoregressive (GSTAR) model of space-
time assumes constant error variance. In this study, a GSTAR model was built with an error …
time assumes constant error variance. In this study, a GSTAR model was built with an error …
Modelling of data following a GSTARMA-X model using Kalman filter
MR Kurniawan, U Mukhaiyar… - AIP Conference …, 2024 - pubs.aip.org
The Generalised Space-Time Autoregressive Moving Average-Exogenous (GSTARMA-X)
model has been implemented to model spatial time series where the observed values at …
model has been implemented to model spatial time series where the observed values at …
Covid-19 case modeling in Java Island using a spatial model, GSTAR (1; 1), with modified spatial weights: Queen contiguity weight matrix
The Covid-19 pandemic that has occurred in the past two years is still the main topic,
especially when this pandemic ends. The essence of the Covid-19 pandemic is the …
especially when this pandemic ends. The essence of the Covid-19 pandemic is the …