Statistical Rethinking


Statistical Rethinking
Author: Richard McElreath
Publisher: CRC Press
ISBN: 0429639147
Size: 48.58 MB
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Statistical Rethinking

eBook File: Statistical-rethinking.PDF Book by Richard McElreath, Statistical Rethinking Books available in PDF, EPUB, Mobi Format. Download Statistical Rethinking books, Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated. This unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work. The text presents causal inference and generalized linear multilevel models from a simple Bayesian perspective that builds on information theory and maximum entropy. The core material ranges from the basics of regression to advanced multilevel models. It also presents measurement error, missing data, and Gaussian process models for spatial and phylogenetic confounding. The second edition emphasizes the directed acyclic graph (DAG) approach to causal inference, integrating DAGs into many examples. The new edition also contains new material on the design of prior distributions, splines, ordered categorical predictors, social relations models, cross-validation, importance sampling, instrumental variables, and Hamiltonian Monte Carlo. It ends with an entirely new chapter that goes beyond generalized linear modeling, showing how domain-specific scientific models can be built into statistical analyses. Features Integrates working code into the main text Illustrates concepts through worked data analysis examples Emphasizes understanding assumptions and how assumptions are reflected in code Offers more detailed explanations of the mathematics in optional sections Presents examples of using the dagitty R package to analyze causal graphs Provides the rethinking R package on the author's website and on GitHub


Statistical Rethinking
Language: en
Pages: 594
Authors: Richard McElreath
Categories: Mathematics
Type: BOOK - Published: 2020-03-19 - Publisher: CRC Press
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated. This unique computational approach ensures that you
Statistical Rethinking
Language: en
Pages: 487
Authors: Richard McElreath
Categories: Mathematics
Type: BOOK - Published: 2018-01-03 - Publisher: CRC Press
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
Rethinking the Foundations of Statistics
Language: en
Pages: 388
Authors: Joseph B. Kadane, Mark J. Schervish, Teddy Seidenfeld
Categories: Mathematics
Type: BOOK - Published: 1999-08-13 - Publisher: Cambridge University Press
This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic of the collection is understanding how the norms for Bayesian decision making should apply in settings with more than one rational decision maker and then tracing out some of the
Rethinking Social Inquiry
Language: en
Pages: 362
Authors: Henry E. Brady, David Collier
Categories: Social Science
Type: BOOK - Published: 2004 - Publisher: Rowman & Littlefield
'Rethinking Social Inquiry' offers a cohesive set of reflections on the quest for common standards drawn from quantitative methodology. The contributors argue that these standards must be drawn from exemplary qualitative research as well as the best quantitative studies.
Як ніколи не помилятися
Language: uk
Pages: 408
Authors: Джордан Елленберґ
Categories: Business & Economics
Type: BOOK - Published: 2018-06-21 - Publisher: Наш формат
Бестселер The New York Times, який рекомендує прочитати співзасновник компанії Microsoft Білл Ґейтс.
Proceedings of the Indian Science Congress
Language: en
Pages:
Authors: Джордан Елленберґ
Categories: Science
Type: BOOK - Published: 1968 - Publisher:
Books about Proceedings of the Indian Science Congress
Proceedings of the ... Indian Science Congress
Language: en
Pages:
Authors: Indian Science Congress Association
Categories: Science
Type: BOOK - Published: 1968 - Publisher:
Books about Proceedings of the ... Indian Science Congress
Rethinking Risk and the Precautionary Principle
Language: en
Pages: 294
Authors: Julian Morris
Categories: Business & Economics
Type: BOOK - Published: 2000 - Publisher: Butterworth-Heinemann
Rethinking Risk and the Precautionary Principle challenges the claim that the precautionary principle is an appropriate guide to public policy decision-making in the face of uncertainty. The precautionary principle is frequently invoked as a justification for regulating human activities. From bans on the use of growth hormones in cattle to
Rethinking the Education Improvement Agenda
Language: en
Pages: 320
Authors: Kevin J. Flint, Nick Peim
Categories: Education
Type: BOOK - Published: 2011-12-01 - Publisher: A&C Black
Offering a philosophical perspective to the educational improvement agenda, this engaging text provides a new language for research into educational improvement, bringing leading-edge philosophy to current practice. Drawing on philosophical work, including that of Derrida, Foucault and Heidegger, the authors deconstruct the ethic of improvement before exploring key dimensions of
Modern Interdisciplinary University Statistics Education
Language: en
Pages: 152
Authors: National Research Council, Division on Engineering and Physical Sciences, Commission on Engineering and Technical Systems, Committee on Applied and Theoretical Statistics
Categories: Education
Type: BOOK - Published: 1994-02-01 - Publisher: National Academies Press
This book examines how the discipline of statistics should respond to the changing environment in which statisticians work. What does the academic, industry, and government customer need? How can the content of courses and of the overall statistics educational experience be arranged to address the customer's needs? Interdisciplinary needs are