Model-free global likelihood subsampling for massive data
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Publication:2104012
DOI10.1007/s11222-022-10185-0zbMath1499.62042OpenAlexW4311035404MaRDI QIDQ2104012
Publication date: 9 December 2022
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11222-022-10185-0
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- Funktionen von beschränkter Variation in der Theorie der Gleichverteilung
- Multivariate adaptive regression splines
- The design and analysis of computer experiments.
- Theory and application of uniform experimental designs
- On the tight constant in the multivariate Dvoretzky-Kiefer-Wolfowitz inequality
- Orthogonal subsampling for big data linear regression
- Informed sub-sampling MCMC: approximate Bayesian inference for large datasets
- Randomized Algorithms for Matrices and Data
- Fast algorithms for component-by-component construction of rank-1 lattice rules in shift-invariant reproducing kernel Hilbert spaces
- Multidimensional binary search trees used for associative searching
- Real-Parameter Evolutionary Monte Carlo With Applications to Bayesian Mixture Models
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- Optimal Subsampling for Large Sample Logistic Regression
- LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model
- Information-Based Optimal Subdata Selection for Big Data Linear Regression
- Monte Carlo sampling methods using Markov chains and their applications
- On Estimation of a Probability Density Function and Mode
- Optimal subsampling for quantile regression in big data
- Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data
- Random forests
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