TY - JOUR
T1 - kppmenet
T2 - combining the kppm and elastic net regularization for inhomogeneous Cox point process with correlated covariates
AU - Choiruddin, Achmad
AU - Yuni Susanto, Tabita
AU - Husain, Ahmad
AU - Mega Kartikasari, Yuniar
N1 - Publisher Copyright:
© 2023 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2024
Y1 - 2024
N2 - The (Formula presented.) is a standard procedure to estimate the parameters of the inhomogeneous Cox point process. However, the procedure cannot handle the problem when the models involve correlated covariates. In this study, we develop the (Formula presented.), the modified version of the (Formula presented.), for the inhomogeneous Cox point process involving correlated covariates by considering elastic net regularization. We compare the methodology in a simulation study and apply it to model major-shallow earthquake distribution in Sumatra, Indonesia. We conclude that the (Formula presented.) outperforms (Formula presented.) when correlated covariates are involved.
AB - The (Formula presented.) is a standard procedure to estimate the parameters of the inhomogeneous Cox point process. However, the procedure cannot handle the problem when the models involve correlated covariates. In this study, we develop the (Formula presented.), the modified version of the (Formula presented.), for the inhomogeneous Cox point process involving correlated covariates by considering elastic net regularization. We compare the methodology in a simulation study and apply it to model major-shallow earthquake distribution in Sumatra, Indonesia. We conclude that the (Formula presented.) outperforms (Formula presented.) when correlated covariates are involved.
KW - Earthquake modelling
KW - lasso
KW - natural disaster
KW - spatial point process
KW - spatstat R package
UR - http://www.scopus.com/inward/record.url?scp=85158858227&partnerID=8YFLogxK
U2 - 10.1080/02664763.2023.2207786
DO - 10.1080/02664763.2023.2207786
M3 - Comment/debate
AN - SCOPUS:85158858227
SN - 0266-4763
VL - 51
SP - 993
EP - 1006
JO - Journal of Applied Statistics
JF - Journal of Applied Statistics
IS - 5
ER -