DOAJ Open Access 2025

Regularization techniques for inhomogeneous (spatial) point processes intensity and conditional intensity estimation******

Coeurjolly Jean-Francois Ba Ismaïla Choiruddin Achmad

Lihat Sumber DOI

Abstrak

Point processes are stochastic models generating interacting points or events in time and/or space. Among characteristics of these models, first-order intensity and conditional intensity functions are often considered. We focus on inhomogeneous parametric forms of these functions assumed to depend on a certain number of spatial covariates. When this number of covariates is large, we are faced with a high-dimensional problem. This paper provides an overview of these questions and existing solutions based on regularizations.

Topik & Kata Kunci

Applied mathematics. Quantitative methods Mathematics

Penulis (3)

Coeurjolly Jean-Francois

Ba Ismaïla

Choiruddin Achmad

Format Sitasi

APA MLA BibTeX

Jean-Francois, C., Ismaïla, B., Achmad, C. (2025). Regularization techniques for inhomogeneous (spatial) point processes intensity and conditional intensity estimation******. https://doi.org/10.1051/proc/202580002

Akses Cepat

Lihat di Sumber doi.org/10.1051/proc/202580002

Informasi Jurnal

Tahun Terbit: 2025
Sumber Database: DOAJ
DOI: 10.1051/proc/202580002
Akses: Open Access ✓