Fast Generalized Linear Models by Database Sampling and One-Step Polishing
| Autor: | Thomas Lumley |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Statistics and Probability
Generalized linear model Relational database business.industry Computer science Database sampling Maximum likelihood 05 social sciences Big data InformationSystems_DATABASEMANAGEMENT Polishing Sampling (statistics) 01 natural sciences 010104 statistics & probability Scoring algorithm 0502 economics and business Discrete Mathematics and Combinatorics 0101 mathematics Statistics Probability and Uncertainty business Algorithm 050205 econometrics |
| Zdroj: | Journal of Computational and Graphical Statistics. 28:1007-1010 |
| ISSN: | 1537-2715 1061-8600 |
| DOI: | 10.1080/10618600.2019.1610312 |
| Popis: | In this article, I show how to fit a generalized linear model to N observations on p variables stored in a relational database, using one sampling query and one aggregation query, as long a... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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