Skip to main content
Czech
English
Institute of Information Theory and Automation
You are here
Home
Search form
Search
About us
Home
Research
Education
People
Structure
Kybernetika Journal
GDPR info
Whistleblowing
GEP info
ÚTIA life
Instructions
Activities
Seminars
Library
Computer Centre
Intranet
Login
Mail access
Covid - tests records
Lemon
Reservation of Gym
Discussion list
Booking classrooms
Attendance
Attendance
Adaptive Systems
Home
News
Seminars
Research
Applications
Software tools
Publications
Education
Contact
Hierarchical Bayesian Models 2019
Lecturer: Vaclav Smidl
Lesson 1: Review of probability and trivial models
Pdf presentation
Lesson 2: Prior and Approximate posteriors
Pdf presentation
Lesson 3: Monte Carlo Methods
Pdf presentation
Lesson 4: Linear Regression
Pdf presentation
ETEX experiment
Lesson 5: Blind Source Separation
Pdf presentation
Toy problem
Lesson 6: Mixture Models
Pdf presentation
Patlak plot analysis
Lesson 7: Mixture of Regressors
Pdf presentation
Patlak plot EM
Dirichlet sampler
Lesson 8: Bayesian Filtering
Pdf presentation
Lesson 9: Bayesian Filtering
Pdf presentation
Data for force estimation
Script kalman.m
Demo of sine wave example
Lesson 10: Bayesian Non-linear regression
Pdf presentation
Data for toy network
2020-02-24 15:46