Matches in SemOpenAlex for { <https://semopenalex.org/work/W4254397763> ?p ?o ?g. }
Showing items 1 to 52 of
52
with 100 items per page.
- W4254397763 endingPage "113" @default.
- W4254397763 startingPage "96" @default.
- W4254397763 abstract "The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science." @default.
- W4254397763 created "2022-05-12" @default.
- W4254397763 date "2021-06-17" @default.
- W4254397763 modified "2023-10-01" @default.
- W4254397763 title "James–Stein Estimation and Ridge Regression" @default.
- W4254397763 doi "https://doi.org/10.1017/9781108914062.011" @default.
- W4254397763 hasPublicationYear "2021" @default.
- W4254397763 type Work @default.
- W4254397763 citedByCount "0" @default.
- W4254397763 crossrefType "book-chapter" @default.
- W4254397763 hasConcept C105795698 @default.
- W4254397763 hasConcept C107673813 @default.
- W4254397763 hasConcept C111350023 @default.
- W4254397763 hasConcept C119857082 @default.
- W4254397763 hasConcept C134261354 @default.
- W4254397763 hasConcept C149782125 @default.
- W4254397763 hasConcept C154945302 @default.
- W4254397763 hasConcept C160234255 @default.
- W4254397763 hasConcept C162376815 @default.
- W4254397763 hasConcept C33923547 @default.
- W4254397763 hasConcept C41008148 @default.
- W4254397763 hasConcept C95167961 @default.
- W4254397763 hasConceptScore W4254397763C105795698 @default.
- W4254397763 hasConceptScore W4254397763C107673813 @default.
- W4254397763 hasConceptScore W4254397763C111350023 @default.
- W4254397763 hasConceptScore W4254397763C119857082 @default.
- W4254397763 hasConceptScore W4254397763C134261354 @default.
- W4254397763 hasConceptScore W4254397763C149782125 @default.
- W4254397763 hasConceptScore W4254397763C154945302 @default.
- W4254397763 hasConceptScore W4254397763C160234255 @default.
- W4254397763 hasConceptScore W4254397763C162376815 @default.
- W4254397763 hasConceptScore W4254397763C33923547 @default.
- W4254397763 hasConceptScore W4254397763C41008148 @default.
- W4254397763 hasConceptScore W4254397763C95167961 @default.
- W4254397763 hasLocation W42543977631 @default.
- W4254397763 hasOpenAccess W4254397763 @default.
- W4254397763 hasPrimaryLocation W42543977631 @default.
- W4254397763 hasRelatedWork W15108978 @default.
- W4254397763 hasRelatedWork W19071676 @default.
- W4254397763 hasRelatedWork W21093994 @default.
- W4254397763 hasRelatedWork W22943162 @default.
- W4254397763 hasRelatedWork W23891485 @default.
- W4254397763 hasRelatedWork W24605171 @default.
- W4254397763 hasRelatedWork W3785433 @default.
- W4254397763 hasRelatedWork W495830 @default.
- W4254397763 hasRelatedWork W5600499 @default.
- W4254397763 hasRelatedWork W25407898 @default.
- W4254397763 isParatext "false" @default.
- W4254397763 isRetracted "false" @default.
- W4254397763 workType "book-chapter" @default.