Bias decomposition and estimator performance in respondent-driven sampling.
Antonio D. SirianniChristopher J. CameronYongren ShiDouglas D. HeckathornPublished in: Soc. Networks (2021)
Keyphrases
- variance reduction
- random sampling
- importance sampling
- sample size
- monte carlo
- estimation error
- data driven
- least squares
- maximum likelihood
- unbiased estimator
- maximum a posteriori
- bias variance
- sampling rate
- decomposition method
- markov chain monte carlo
- imbalanced class distribution
- skewed data
- low variance
- error estimation
- variance estimator
- sampled data
- sampling methods
- bayesian networks
- wavelet packet
- confidence intervals
- image reconstruction
- multiscale