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
Concept
Log-logistic distribution
Formal sciences
Statistics
Data analysis
Survival analysis
Graph Chatbot
Related lectures (31)
Login to filter by course
Login to filter by course
Reset
Robustness in Visual Intelligence
Explores robustness in visual intelligence, addressing distribution shifts, failure examples, and strategies for improvement.
Binary Choice Model
Covers the binary choice model, error term assumptions, specific constants, invariances, and distribution properties.
Extreme Value Theory: Return Level Estimation
Explores extremal limit theorems, return level estimation, clustering consequences, and modelling strategies for extreme value theory.
Model Specification: The Error Term
Delves into the binary choice model, error term specification, and Extreme Value distribution properties.
Learning in the Presence of Distribution Shifts: How does the Geometry of Perturbations Play a Role?
Explores learning challenges with distribution shifts and perturbation geometry, focusing on robust classifiers and natural variation modeling.
Robust Vision: State of the Art
Explores the challenges of robust vision, including distribution shifts, failure examples, and strategies for improving model robustness through diverse data pretraining.
Evaluating Machine Accuracy and Robustness on ImageNet
Explores the evaluation of machine and human accuracy and robustness on ImageNet, highlighting progress, challenges, and the need for improvement.
Extreme Value Theory: GEV and GPD
Covers Extreme Value Theory, focusing on GEV and GPD distributions and the POT Model for threshold exceedances.
Extreme Value Theory: Maximum Distribution
Explores extreme value theory, focusing on maximum distribution and different types of distributions based on shape parameters.
Probability Distributions in Environmental Studies
Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.
Extreme Region Likelihood Estimation
Covers extreme region likelihood estimation, model complexity, oceanographic data modeling, and threshold likelihood estimation.
Previous
Page 2 of 2
Next