Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Extreme Statistics: Threshold Models
Graph Chatbot
Related lectures (32)
Previous
Page 3 of 4
Next
Poisson Process Mapping
Explains how q = rw defines a Poisson process and its intensity.
Probability Distributions in Environmental Studies
Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.
Poisson Process Approach
Explores the Poisson process approach in extreme value analysis, emphasizing component-wise transformations and likelihood functions for extreme events.
Poisson Processes Theorems
Discusses important theorems related to Poisson processes and their applications in analyzing exceedances and likelihood.
Poisson Processes and Angular Density
Explores Poisson processes, Pickands' function, and multivariate angular densities.
Statistical Analysis: Hypothesis Testing and Distribution Models
Covers statistical analysis techniques, hypothesis testing, and distribution models using R software.
Point Processes: Spatial Analysis
Explores point processes in spatial analysis, focusing on spatial object dissemination and pattern detection.
Statistical Analysis: Data Exploration and Inference
Covers statistical analysis, emphasizing data exploration and inference to quantify uncertainty and draw conclusions.
Point Processes: Extreme Value Theory
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
Explores memorylessness in distributions, stationary processes, and estimation using MLE.