Penalized maximum likelihood estimation for a function of the intensity of a Poisson point process

DOI10.1007/s11203-006-9005-5zbMath1144.62074OpenAlexW2049413661MaRDI QIDQ946283

Ronaldo Dias, Nancy L. Garcia, Clécio S. Ferreira

Publication date: 22 September 2008

Published in: Statistical Inference for Stochastic Processes (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11203-006-9005-5

zbMATH Keywords

Poisson processesnonparametric estimation\(h\)-splines

Mathematics Subject Classification ID

Related Items (2)

Spatiotemporal point processes: regression, model specifications and future directions ⋮ Non-homogeneous Poisson process intensity modeling and estimation using measure transport

Cites Work

• Smoothing counting process intensities by means of kernel functions
• An introduction to the theory of point processes
• Statistical inference for spatial Poisson processes
• Splines in Statistics
• Density estimation via hybrid splines
• Sequential adaptive nonparametric regression via h-splines
• Hybrid Adaptive Splines
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