Approximating Partial Likelihood Estimators via Optimal Subsampling
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2023.2216261
Abstract: With the growing availability of large-scale biomedical data, it is often time-consuming or infeasible to directly perform traditional statistical analysis with relatively limited computing resources at hand. We propose a fast subsampling method to effectively… read more here.
Keywords: approximating partial; optimal subsampling; partial likelihood; estimator ... See more keywords
Sampling With Replacement vs Poisson Sampling: A Comparative Study in Optimal Subsampling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2022.3176955
Abstract: Faced with massive data, subsampling is a commonly used technique to improve computational efficiency, and using nonuniform subsampling probabilities is an effective approach to improve estimation efficiency. For computational efficiency, subsampling is often implemented with… read more here.
Keywords: comparative study; replacement; optimal subsampling; poisson subsampling ... See more keywords