Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.
The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation.
By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling.
Web Resource
The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Richard McElreath is the director of the Department of Human Behavior, Ecology, and Culture at the Max Planck Institute for Evolutionary Anthropology. He is also a professor in the Department of Anthropology at the University of California, Davis. His work lies at the intersection of evolutionary and cultural anthropology, specifically how the evolution of fancy social learning in humans accounts for the unusual nature of human adaptation and extraordinary scale and variety of human societies.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Bestandsnummer des Verkäufers 00109437383
Anzahl: 2 verfügbar
Anbieter: -OnTimeBooks-, Phoenix, AZ, USA
Zustand: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail. Bestandsnummer des Verkäufers OTV.1482253445.G
Anzahl: 1 verfügbar
Anbieter: HPB-Red, Dallas, TX, USA
Hardcover. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Bestandsnummer des Verkäufers S_472282501
Anzahl: 1 verfügbar
Anbieter: World of Books Inc, Montgomery, IL, USA
Hardback. Zustand: Good. Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers? knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today?s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author?s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas. Bestandsnummer des Verkäufers CIN1482253445G
Anzahl: 2 verfügbar
Anbieter: Wonder Book, Frederick, MD, USA
Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp. Bestandsnummer des Verkäufers G04L-01352
Anzahl: 1 verfügbar
Anbieter: Giant Giant, Reston, VA, USA
hardcover. Zustand: As New. Like New Condition.Crisp pages. Clean cover and pages. Book shows no shelf wear. Not Satisfied? Contact us to get a refund. Bestandsnummer des Verkäufers BRG-26_2_865
Anzahl: 1 verfügbar
Anbieter: GoldBooks, Denver, CO, USA
Hardcover. Zustand: new. New Copy. Customer Service Guaranteed. Bestandsnummer des Verkäufers 69T28_16_1482253445
Anzahl: 1 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Hardcover. Zustand: Brand New. 450 pages. 10.50x7.50x1.00 inches. In Stock. Bestandsnummer des Verkäufers 1482253445
Anzahl: 1 verfügbar