Sample Size Determination: Likelihood Bootstrapping
Presenting two approaches to determining a sufficient sample size based on likelihood values from resampled subsets
linear regression
Sample Size Determination: Posterior Distributions Proximity
Presenting two approaches to determining a sufficient sample size based on the proximity of posterior distributions of model parameters on similar 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