Measuring Sample Quality with Stein's Method
Slice Sampling for General Completely Random Measures
Traditional sampling techniques (grid vs random vs sobol vs latin hypercube)
03 - A sampling importance resampling procedure for estimating parameter uncertainty
Prof. Christophe Andrieu | Monte Carlo sampling with integrator snippets
Lecture 29 - Importance Sampling
Sample Size Estimation Webinar @ 16 Feb 2021
Adaptive Sampling via Sequential Decision Making - András György
What is sampling error? Sampling error explained with example |Sampling in research & sampling Error
Failure Probability Estimation in Reliability Analysis using Path Sampling
Mini Courses - SVAN 2016 - MC1 - Class 04 - Scenario Generation And Sampling Methods
Continuous Algorithms: Sampling and Optimization in High Dimension
Approximate Stein Classes for Truncated Density Estimation - ArXiv:2306.00602
Tom Rainforth: Amortized Monte Carlo Integration
What's the difference between accuracy and precision? - Matt Anticole
Lester Mackey | Advances in Distribution Compression
Lester Mackey: Kernel Thinning and Stein Thinning
1-3 Collecting Sample Data
Sebastian Krumscheid's talk
