Extreme Statistics: Threshold Models

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Estimating R: Marking and Convergence Log in to Mediaspace to watch this video

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

Extreme Value Theory: Return Level Estimation Log in to Mediaspace to watch this video

Explores extremal limit theorems, return level estimation, clustering consequences, and modelling strategies for extreme value theory.

Poisson Process Mapping Log in to Mediaspace to watch this video

Explains how q = rw defines a Poisson process and its intensity.

Probability Distributions in Environmental Studies Log in to Mediaspace to watch this video

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Poisson Process Approach Log in to Mediaspace to watch this video

Explores the Poisson process approach in extreme value analysis, emphasizing component-wise transformations and likelihood functions for extreme events.

Poisson Processes Theorems Log in to Mediaspace to watch this video

Discusses important theorems related to Poisson processes and their applications in analyzing exceedances and likelihood.

Poisson Processes and Angular Density Log in to Mediaspace to watch this video

Explores Poisson processes, Pickands' function, and multivariate angular densities.

Statistical Analysis: Hypothesis Testing and Distribution Models Log in to Mediaspace to watch this video

Covers statistical analysis techniques, hypothesis testing, and distribution models using R software.

Statistical Analysis: Data Exploration and Inference Log in to Mediaspace to watch this video

Covers statistical analysis, emphasizing data exploration and inference to quantify uncertainty and draw conclusions.

Point Processes: Extreme Value Theory Log in to Mediaspace to watch this video

Explores point processes in extreme value theory, focusing on modeling exceedances and the theory behind point patterns.

Elements of Statistics: Memorylessness, Stationary Processes, Estimation using MLE Log in to Mediaspace to watch this video

Explores memorylessness in distributions, stationary processes, and estimation using MLE.

Mapping Theorems: Poisson Processes and Intensity Functions Log in to Mediaspace to watch this video

Explores mapping theorems for Poisson processes and their intensity functions.

Page 2 of 2