33 citations · 68 across the 9 of their papers we have counts for
9 papers
Marked point processes intensity estimation using sparse group Lasso method applied to locations of lucrative and cooperative banks in mainland France
Amélie Artis, Achmad Choiruddin, Jean-François Coeurjolly +1
In this paper, we model the locations of five major banks in mainland France, two lucrative and three cooperative institutions based on socio-economic considerations. Locations of…
Design-Life Levels for Flood Extremes: A Dependence-Aware Block-Maxima Workflow for Severity and Persistence
Tuoyuan Cheng, Xiao Peng, Achmad Choiruddin +2
Flood-risk assessment concerns the magnitude of maximum discharge over a design life and the clustering of extreme flows in time. Limited record length, extremal clustering, and pr…
Regularization techniques for inhomogeneous (spatial) point processes intensity and conditional intensity estimation
Jean-François Coeurjolly, Ismaïla Ba, Achmad Choiruddin
Point processes are stochastic models generating interacting points or events in time, space, etc. Among characteristics of these models, first-order intensity and conditional inte…
Quantifying effect of geological factor on distribution of earthquake occurrences by inhomogeneous Cox processes
Achmad Choiruddin, Aisah, Finola Trisnisa +1
Research on the earthquake occurrences using a statistical methodology based on point processes has mainly focused on the data featuring earthquake catalogs which ignores the effec…
Adaptive lasso and Dantzig selector for spatial point processes intensity estimation
Achmad Choiruddin, Jean-François Coeurjolly, Frédérique Letué
Lasso and Dantzig selector are standard procedures able to perform variable selection and estimation simultaneously. This paper is concerned with extending these procedures to spat…
Information criteria for inhomogeneous spatial point processes
Achmad Choiruddin, Jean-François Coeurjolly, Rasmus Waagepetersen
The theoretical foundation for a number of model selection criteria is established in the context of inhomogeneous point processes and under various asymptotic settings: infill, in…
Regularized estimation for highly multivariate log Gaussian Cox processes
Achmad Choiruddin, Francisco Cuevas-Pacheco, Jean-François Coeurjolly +1
Statistical inference for highly multivariate point pattern data is challenging due to complex models with large numbers of parameters. In this paper, we develop numerically stable…
Spatial point processes intensity estimation with a diverging number of covariates
Achmad Choiruddin, Jean-François Coeurjolly, Frédérique Letué
Feature selection procedures for spatial point processes parametric intensity estimation have been recently developed since more and more applications involve a large number of cov…
Convex and non-convex regularization methods for spatial point processes intensity estimation
Achmad Choiruddin, Jean-François Coeurjolly, Frédérique Letué
This paper deals with feature selection procedures for spatial point processes intensity estimation. We consider regularized versions of estimating equations based on Campbell theo…