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
Epidemiological Parameters Inference from Clinical Data
Graph Chatbot
Related lectures (31)
Previous
Page 2 of 4
Next
Generalized Linear Models: A Brief Review
Provides an overview of Generalized Linear Models, focusing on logistic and Poisson regression models, and their implementation in R.
Maximum Likelihood Theory & Applications
Covers maximum likelihood theory, applications, and hypothesis testing principles in econometrics.
Exponential Family
Covers the properties of the exponential family and the estimation of parameters.
Mixture Models: Simulation-based Estimation
Explores mixture models, including discrete and continuous mixtures, and their application in capturing taste heterogeneity in populations.
Mixture models: taste heterogeneity
Explores mixture models in discrete choice and random parameters estimation results.
Regular Exponential Family Models
Explores regular exponential family models, unifying distributions like Poisson, binomial, and normal under a common framework.
Maximum Likelihood: Inference and Model Comparison
Explores maximum likelihood inference, model selection, and comparing models using likelihood ratios.
Protein Mass Spectrometry and Proteomics: Randomization Overview
Explores the significance of randomization in protein mass spectrometry and proteomics, highlighting its role in minimizing bias and ensuring research validity.
Maximum Likelihood: Estimation and Inference
Introduces maximum likelihood estimation, discussing its properties and applications in statistical analysis.
Causal Analysis of Observational Data
Covers causal analysis of observational data, pitfalls, tools for valid conclusions, and addressing confounding variables.