Statistical inference on intensity functions with applications
M. I. Borrajo García, W. González Manteiga, M. D. Martínez Miranda
Point processes are a branch of spatial statistics mainly distinguished by its commonly called “double stochasticity”, which refers to the fact that both, the location, and the number of events happening, are random.
One of the main functions of interest in point processes is the first order intensity function, which represents the mean number of events per unit measure (length, area, volume, …). We present here an overview of methods with different aims (significance testing, curve comparison, detection of significant features, …) all of them rooted on the estimation of the first order intensity function.
Keywords: point processes, intensity function, nonparametric inference
Scheduled
GT19 Time Space Statistics
June 7, 2022 12:00 PM
Conference hall
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