Point process

Related lectures (32)

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Explores asymptotic independence models for multivariate extremes and their applications in extrapolating probabilities to rare events.

Explores mapping theorems for Poisson processes and their intensity functions.

Covers point processes, convergence criteria, Laplace functionals, Gaussian processes, covariance functions, and intrinsic stationarity.

Explores Extreme Value Theory applications to time series, discussing extremogram, moving maxima, and rare event threshold sequences.

Covers the generation of Markov processes and Poisson processes in stochastic simulation.

Explores extremal limit theorems and statistical analysis for analyzing extreme events like Venezuela rainfall and Venice data.

Covers the Poisson process and its probability law in communication systems.

Covers the properties of Poisson processes and their applications in communication stochastic models.

Covers the estimation of R in Poisson processes, focusing on marking points and convergence.

Explores the Poisson model in computational neuroscience, emphasizing rate coding and stochastic spiking.