Tail stabilization of importance sampling etimators: A bit of theory
Explores the instability of importance sampling estimators and introduces truncated importance sampling (TIS) to stabilize variance by modifying large importance ratios.
Explores the instability of importance sampling estimators and introduces truncated importance sampling (TIS) to stabilize variance by modifying large importance ratios.
The author discusses the unexpected computational challenges of implementing score tests for generalized linear models in survey statistics.
A researcher reviews their 2019 scientific work, focusing on computational statistics for brain imaging and data science.
Explores the 'curse of dimensionality' through simulations, showing how nearest-neighbor distances converge in high-dimensional spaces.