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


Other papers in the same session

Spatial Cox Processes in an Infinite-Dimensional Framework

M. P. Frías Bustamante, A. Torres Signes, M. D. Ruiz Medina, J. Mateu Mahiques

Identification of Patterns for Space-Time Event Networks

M. P. Bohorquez Castañeda, A. M. Forero Sanabria, J. Mateu Mahiques, R. R. Renteria Ramos


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