Linear Regression

Sample Size Determination: Posterior Distributions Proximity

This paper presents two approaches to determining a sufficient sample size based on the proximity of posterior distributions of model parameters on similar subsets.

Sample Size Determination: Likelihood Bootstrapping

This paper presents two approaches to determining a sufficient sample size based on likelihood values from resampled subsets.

Determining a sufficient sample size based on the a posteriori distribution of model parameters

66th MIPT All-Russian Scientific Conference

Optimization methods for quadratic problems with large dimensionality

Comparison of different methods of solving high-dimensional linear regression problems.