Random sampling is a standard technique for constructing (approximate) histograms for query optimization. However, any real implementation in commercial products requires solving the hard problem of ...

Ali Hussain has a background that consists of a career in finance with large financial institutions and in journalism covering business. Vikki Velasquez is a researcher and writer who has managed, ...

Reservoir sampling is a family of randomized algorithms for randomly choosing a sample of k items from a list S containing n items, where n is either a very large or unknown number. Typically n is ...

This code implements sequential and parallel methods for weighted random sampling, as described in our eponymous paper: Hübschle-Schneider, L., & Sanders, P. (2019). Parallel Weighted Random Sampling.

A random sample is a subset of individuals chosen from a larger population, where each individual has an equal chance of being selected. A random sample is selected in such a way that every member of ...

1 Institute of Marine Science and Technology, Shandong University, Qingdao, China 2 Joint Lab for Ocean Research and Education at Dalhousie University, Shandong University and Xiamen University, ...

Abstract: We proved that the phaseless sampling (PLS) in the linear-phase modulated shift-invariant space (SIS) V (eiα·φ), α = 0, is impossible even though the real-valued function φ enjoys the full ...