Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Parametric Models: Logistic and Dirichlet Densities
Graph Chatbot
Related lectures (32)
Copulas and Extremes
Log in to Mediaspace to watch this video
Explores copulas, margins, extremes, and parametric models for higher dimensions and bivariate data.
Bivariate Maxima: Parametric Models and Distributions
Log in to Mediaspace to watch this video
Explores bivariate maxima, parametric models, distributions, and dependence functions in statistics.
Asymmetric Parametric Models: Extremal Coefficient
Log in to Mediaspace to watch this video
Explores asymmetric parametric models and the extremal coefficient in extreme value dependence.
Data Analysis: Correlation Measures
Log in to Mediaspace to watch this video
Covers the basics of data analysis, focusing on statistical concepts and correlation measures.
Supervised Learning Fundamentals
Log in to Mediaspace to watch this video
Introduces the fundamentals of supervised learning, including loss functions and probability distributions.
Extreme Region Likelihood Estimation
Log in to Mediaspace to watch this video
Covers extreme region likelihood estimation, model complexity, oceanographic data modeling, and threshold likelihood estimation.
Linear Models for Classification: Multi-Class Extensions
Log in to Mediaspace to watch this video
Covers linear models for multi-class classification, focusing on logistic regression and evaluation metrics.
Optimization in Statistics and Machine Learning: Maximum Likelihood Estimation
Log in to Mediaspace to watch this video
Explores maximum likelihood estimation, logistic regression, covariance estimation, and support vector machines for classification problems.
Elements of Statistics: Probability and Random Variables
Log in to Mediaspace to watch this video
Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.
L-Moment Estimation: Probability-Weighted Moments
Log in to Mediaspace to watch this video
Covers L-moment estimation, probability-weighted moments, and maximum likelihood inference basics.
Elements of Statistics: Probability, Distributions, and Estimation
Log in to Mediaspace to watch this video
Covers probability theory, distributions, and estimation in statistics, emphasizing accuracy, precision, and resolution of measurements.
Special Families of Models
Log in to Mediaspace to watch this video
Explores completeness, minimal sufficiency, and special statistical models, focusing on exponential and transformation families.
Previous
Page 2 of 2
Next