Výsledky vyhledávání - "I G N M Jaya"

MCMC Algorithm for Bayesian Heterogeneous Coefficients of Panel Data Model

Autor: Budi Nurani Ruchjana, I G N M Jaya, Zulhanif, Bertho Tantular

Publikováno v: Journal of Physics, Conference Series. 1320:1-10

Panel data models have been applied widely in many subject areas related to economic, social, and epidemiology. In some cases (e.g. epidemiology studies), the phenomena encountered have a complex relationship structured. The risk factors such as hous

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c88c088e7379c01f7632fed7b972a46b
https://doi.org/10.1088/1742-6596/1320/1/012014

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Comparison of SARIMA and SVM model for rainfall forecasting in Bogor city, Indonesia

Autor: Budi Nurani Ruchjana, I G N M Jaya, Soemartini, Atje Setiawan Abdullah

Publikováno v: Journal of Physics: Conference Series. 1722:012061

Heavy rainfall and flash floods are still significant for several cities in Indonesia, especially Bogor City. Rainfall prediction is essential to develop early warning systems for early detection of massive and flash floods. The accurate forecasting

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::18999d871462d2b5311557e1f8c71239
https://doi.org/10.1088/1742-6596/1722/1/012061

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A spatial shared component random intercept model for assessing risk of diarrhea among men and women

Autor: I G N M Jaya, Kismiantini

Publikováno v: Journal of Physics: Conference Series. 1581:012018

Diarrhea becomes a severe problem for children under five years of age. A preventive action is needed to minimize the negative effect of diarrhea. Gender risk assessment may be necessary to control diarrhea transmission as different sexes have distin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::518530bc7858ecadbc8d3f4ab0500562
https://doi.org/10.1088/1742-6596/1581/1/012018

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A comparison of extreme gradient boosting, SARIMA, exponential smoothing, and neural network models for forecasting rainfall data

Autor: I. G. N. M. Jaya, R. Agata

Publikováno v: Journal of Physics: Conference Series. 1397:012073

Extreme gradient boosting, is a combination of gradient descent and boosting that can be used to build an optimal model for time series data. This method was used to forecast the rainfall data in city of Bandung for period 2018-2019 and compared to S

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b583a0431c4ad5d5b0cc5817094d3062
https://doi.org/10.1088/1742-6596/1397/1/012073

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Akademický článek

MCMC Algorithm for Bayesian Heterogeneous Coefficients of Panel Data Model.

Autor: I G N M Jaya, B Tantular, Zulhanif, B N Ruchjana

Publikováno v: Journal of Physics: Conference Series; 2019, Vol. 1320 Issue 1, p1-1, 1p

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Akademický článek

Spatiotemporal Dengue Disease Clustering by Means Local Spatiotemporal Moran’s Index.

Autor: I G N M Jaya, Y Andriyana, B Tantular, Zulhanif, BN Ruchjana

Publikováno v: IOP Conference Series: Materials Science & Engineering; Nov2019, Vol. 621 Issue 1, p1-1, 1p

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Akademický článek

A Bayesian approach on multicollinearity problem with an Informative Prior.

Autor: I G N M Jaya, B Tantular, Y Andriyana

Publikováno v: Journal of Physics: Conference Series; 2019, Vol. 1265 Issue 1, p1-1, 1p

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Akademický článek

Longitudinal data exploration of upper respiratory tract infection disease in Bandung city.

Autor: B Tantular, I G N M Jaya, Y Andriyana

Publikováno v: Journal of Physics: Conference Series; 2019, Vol. 1265 Issue 1, p1-1, 1p

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Akademický článek

Modelling the percentage of poverty based on an open unemployment rate using some nonparametric regression techniques.

Autor: Y Andriyana, J Suprijadi, Y Suparman, S Winarni, I G N M Jaya

Publikováno v: Journal of Physics: Conference Series; 2019, Vol. 1265 Issue 1, p1-1, 1p

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