Statistical Inference and Simulation for Spatial Point Processes

Statistical Inference for Stable Point Processes

Exact Statistical Inference for Some Parametric Nonhomogeneous Poisson Processes

Nonhomogeneous Poisson processes (NHPPs) are often used to model recurrent events, and there is thus a need to check model fit for such models. We study the problem of obtaining exact goodness-of-fit tests for certain parametric NHPPs, using a method based on Monte Carlo simulation conditional on sufficient statistics. A closely related way of obtaining exact confidence intervals in parametri...

statistical inference via empirical bayes approach for stationary and dynamic contingency tables

چکیده ندارد.

Perfect Simulation for Spatial Point Processes

Statistical Inference and Perfect Simulation for Point Processes Observed with Noise

Physics under supervision of professor Mats Rudemo. The most recent version of the papers in this thesis can always be obtained from my homepage It is usual to thank a lengthy list of persons in the preface of your thesis. I could certainly make such a list as I know and I have met a lot of wonderful, nice, and helpful persons during my Ph.D. studies. However, I am afraid that I would forget so...