Computer age statistical inference algorithms evidence and data science institute of mathematical statistics monographs. 9781107149892: Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs) 2019-01-25

Computer age statistical inference algorithms evidence and data science institute of mathematical statistics monographs Rating: 7,2/10 168 reviews

Institute of Mathematical Statistics Monographs: Computer Age Statistical Inference: Algorithms, Evidence, and Data Science Series Number 5 : Bradley Efron : 9781107149892

computer age statistical inference algorithms evidence and data science institute of mathematical statistics monographs

Fisherian inference and maximum likelihood estimation-- 5. The presentation through the two-and-a-half-century history of statistical inference provides insight into the development of the discipline, putting data science in its historical place. 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. Responsibility: Bradley Efron, Stanford University, California ; Trevor Hastie, Stanford University, California. A must for anyone engaged creatively in statistics and the data sciences, for repeated use. Die Experten Viktor Mayer-Sch√∂nberger und Kenneth Cukier beschreiben in ihrem Buch, was Big Data ist, welche M√∂glichkeiten sich er√∂ffnen, vor welchen Umw√§lzungen wir alle stehen ‚ÄĒ und verschweigen auch die dunkle Seite wie das Aussp√§hen von pers√∂nlichen Daten und den drohenden Verlust der Privatsph√§re nicht.

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Institute of Mathematical Statistics Monographs: Series Number 5: Computer Age Statistical Inference: Algorithms, Evidence, and Data Science

computer age statistical inference algorithms evidence and data science institute of mathematical statistics monographs

For those working in these disciplines and wanting to have a mathematically grounded understanding of the wide variety of methods now available for statistical inference this book is a much needed guide. Objective Bayes inference and Markov chain Monte Carlo; 14. How did we get here? The book explains this 'why'; that is, it explains the purpose and progress of statistical research through a close look at many major methods, methods the authors themselves have advanced and studied at great length. The authors' perspective is summarized nicely when they say, 'very roughly speaking, algorithms are what statisticians do, while inference says why they do them'. The presentation through the two-and-a-half-century history of statistical inference provides insight into the development of the discipline, putting data science in its historical place.

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Computer age statistical inference : algorithms, evidence, and data science

computer age statistical inference algorithms evidence and data science institute of mathematical statistics monographs

The book explains this 'why'; that is, it explains the purpose and progress of statistical research through a close look at many major methods, methods the authors themselves have advanced and studied at great length. In diesem Lehrbuch geht es um eine anwendungsorientierte Einf√ľhrung in die multivariate Analyse kategorialer Daten. Book Summary: The title of this book is Computer Age Statistical Inference and it was written by ,. The distinctly modern approach integrates methodology and algorithms with statistical inference. This book delivers a concentrated course in modern statistical thinking by tracking the revolution from classical theories to the large-scale prediction algorithms of today. Beispiele w√§ren etwa das Geschlecht einer Befragungsperson, ihre Parteipr√§ferenz, die Anzahl der Mitbewohner im Haushalt dieser Person, ihre Schichtzugeh√∂rigkeit und √§hnliches mehr.

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Institute of Mathematical Statistics Monographs: Computer Age Statistical Inference: Algorithms, Evidence, and Data Science Series Number 5 : Bradley Efron : 9781107149892

computer age statistical inference algorithms evidence and data science institute of mathematical statistics monographs

Large-scale hypothesis testing and false discovery rates-- 16. About the Author: Bradley Efron is Max H. Large-scale hypothesis testing and false discovery rates; 16. Hastie was awarded the Emmanuel and Carol Parzen prize for Statistical Innovation in 2014. This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Twenty-First Century Topics: -- 15.

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DOWNLOAD Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs) AUDIO

computer age statistical inference algorithms evidence and data science institute of mathematical statistics monographs

Anhand einer historischen Analyse der wayang kulit Rezeptionsgeschichte kann jedoch gezeigt werden, dass der Stellenwert des wayang kulit als -klassische- Theaterform zum grossen Teil Produkt der in der Kolonialzeit entstandenen und von der kolonialen Elite weiterentwickelten Interpretationen ist. The inference-prediction distinction maintained throughout the book is a welcome and important novelty in the landscape of statistics books. Generalized linear models and regression trees-- 9. Accessible real-world examples and insightful remarks can be found throughout the book. Anyone who applies statistical methods to data will benefit from this landmark text.

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9781107149892: Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)

computer age statistical inference algorithms evidence and data science institute of mathematical statistics monographs

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. There are many examples and illustrations, but more could have been included for Bayesian multiple testing. Focusing primarily on the last six decades, the text thoroughly documents the progression within the discipline of statistics. The methods covered are indispensable to practicing statistical analysts in today's big data and big computing landscape. The book seamlessly integrates statistical thinking with computational thinking, while covering a broad range of powerful algorithms for learning from data. How did we get here? Synopsis The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence.

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Computer Age Statistical Inference: Algorithms, Evidence and Data Science

computer age statistical inference algorithms evidence and data science institute of mathematical statistics monographs

Nach der Lekt√ľre dieses Buches h√§lt der Leser ein Werkzeug in den H√§nden, das ihm bei der L√∂sung medizinscher Fragestellungen hilft ebenso wie bei der Beschreibung von Ergebnissen wissenschaftlicher Studien und nat√ľrlich bei der Doktorarbeit! It also offers an enlightening series of illustrations of the interplay between computation and inference. To buy this book at the lowest price,. Very insightful and informative statistical inference book. This text is highly recommended for graduate libraries. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods.

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[PDF] Download Computer Age Statistical Inference Algorithms Evidence And Data Science Institute Of Mathematical Statistics Monographs Free

computer age statistical inference algorithms evidence and data science institute of mathematical statistics monographs

I was hoping for an update on bootstrap, but it's the same material, just with new presentation and simpler examples. James-Stein estimation and ridge regression; 8. Accessible real-world examples and insightful remarks can be found throughout the book. It is extraordinarily rare and valuable to have such a unified treatment of classical and classic statistical ideas and recent 'big data' and machine learning ideas. Der Robotikspezialist Murray Shanahan beschreibt die unterschiedlichen derzeit weltweit vorangetriebenen technologischen Entwicklungen, die zu einem solchen Ereignis f√ľhren k√∂nnen. Empirical Bayes estimation strategies -- Epilogue. Sie m√ľssen Syntax und Grammatik von R nicht lernen ‚ÄĒ wie im Auslandsurlaub kommen Sie auch hier gut mit ein paar aufgeschnappten Brocken aus.

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