Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia-Reference-Cited by-同舟云学术

Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia

Published:2023-04 Issue: Volume:54 Page:100734
ISSN:2211-6753
Container-title:Spatial Statistics
language:en
Short-container-title:Spatial Statistics

Author:

Huda Nur’ainul Miftahul^ORCID,Imro’ah Nurfitri

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Statistics and Probability

Reference44 articles.

1. A comparison of a-sutte indicator and ARIMA methods in renewable energy forecasting in Indonesia;Ahmar;Int. J. Eng. Technol.,2018

2. Flow-based generative models for Markov chain Monte Carlo in lattice field theory;Albergo;Phys. Rev. D,2019

3. Key Concepts and Techniques in GIS;Albrecht,2007

4. Domination polynomial of the composition of complete graph and star graph;Alwan;J. Phys. Conf. Ser.,2020

5. GSTARX-SUR modeling using inverse distance weighted matrix and queen contiguity weighted matrix for forecasting cocoa black pod attack in trenggalek regency;Ashari,2020

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring the Effectiveness of Graph-based Computational Models in COVID-19 Research;Operations Research Forum;2024-09-11

2. The generalized STAR modeling with minimum spanning tree approach of spatial weight matrix;Frontiers in Applied Mathematics and Statistics;2024-08-29

3. GLS estimation in python to forecast gross regional domestic product using generalized space–time autoregressive seemingly unrelated regression model;Frontiers in Applied Mathematics and Statistics;2024-08-15

4. Generalised space-time seasonal autoregressive integrated moving average seemingly unrelated regression modelling of seasonal and non-stationary data;Scientific African;2024-06