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Author: Richard McElreath
Publisher: CRC Press
ISBN: 1315362619
Category : Mathematics
Languages : en
Pages : 488
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Book Description
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.
Author: Richard McElreath
Publisher: CRC Press
ISBN: 1315362619
Category : Mathematics
Languages : en
Pages : 488
Get Book Here
Book Description
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.
Author: Neil C. Manson
Publisher: Cambridge University Press
ISBN: 1139463209
Category : Philosophy
Languages : en
Pages : 15
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Book Description
Informed consent is a central topic in contemporary biomedical ethics. Yet attempts to set defensible and feasible standards for consenting have led to persistent difficulties. In Rethinking Informed Consent in Bioethics, first published in 2007, Neil Manson and Onora O'Neill set debates about informed consent in medicine and research in a fresh light. They show why informed consent cannot be fully specific or fully explicit, and why more specific consent is not always ethically better. They argue that consent needs distinctive communicative transactions, by which other obligations, prohibitions, and rights can be waived or set aside in controlled and specific ways. Their book offers a coherent, wide-ranging and practical account of the role of consent in biomedicine which will be valuable to readers working in a range of areas in bioethics, medicine and law.
Author: Jay Schulkin
Publisher: MIT Press
ISBN: 9780262194808
Category : Medical
Languages : en
Pages : 332
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Book Description
An overview of allostasis, the process by which the body maintains overall viability under normal and adverse conditions.
Author: Jean-Michel Marin
Publisher: Springer Science & Business Media
ISBN: 1461486874
Category : Computers
Languages : en
Pages : 305
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Book Description
This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications. Readers are empowered to participate in the real-life data analysis situations depicted here from the beginning. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book. In particular, all R codes are discussed with enough detail to make them readily understandable and expandable. Bayesian Essentials with R can be used as a textbook at both undergraduate and graduate levels. It is particularly useful with students in professional degree programs and scientists to analyze data the Bayesian way. The text will also enhance introductory courses on Bayesian statistics. Prerequisites for the book are an undergraduate background in probability and statistics, if not in Bayesian statistics.
Author: Jim Albert
Publisher: CRC Press
ISBN: 1351030132
Category : Mathematics
Languages : en
Pages : 553
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Book Description
Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions. Statistical inference is presented completely from a Bayesian perspective. The text introduces inference and prediction for a single proportion and a single mean from Normal sampling. After fundamentals of Markov Chain Monte Carlo algorithms are introduced, Bayesian inference is described for hierarchical and regression models including logistic regression. The book presents several case studies motivated by some historical Bayesian studies and the authors’ research. This text reflects modern Bayesian statistical practice. Simulation is introduced in all the probability chapters and extensively used in the Bayesian material to simulate from the posterior and predictive distributions. One chapter describes the basic tenets of Metropolis and Gibbs sampling algorithms; however several chapters introduce the fundamentals of Bayesian inference for conjugate priors to deepen understanding. Strategies for constructing prior distributions are described in situations when one has substantial prior information and for cases where one has weak prior knowledge. One chapter introduces hierarchical Bayesian modeling as a practical way of combining data from different groups. There is an extensive discussion of Bayesian regression models including the construction of informative priors, inference about functions of the parameters of interest, prediction, and model selection. The text uses JAGS (Just Another Gibbs Sampler) as a general-purpose computational method for simulating from posterior distributions for a variety of Bayesian models. An R package ProbBayes is available containing all of the book datasets and special functions for illustrating concepts from the book. A complete solutions manual is available for instructors who adopt the book in the Additional Resources section.
Author: Amy Baldwin
Publisher:
ISBN: 9781951693169
Category :
Languages : en
Pages :
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Book Description
Author: Marc Stein
Publisher: Taylor & Francis
ISBN: 1000685721
Category : Social Science
Languages : en
Pages : 316
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Book Description
Now in its second edition, Rethinking the Gay and Lesbian Movement provides an accessible overview of an important and transformational struggle for social change, highlighting key individuals and events, influential groups and organizations, major successes and failures, and the movement’s lasting effects and unfinished work. Focusing on four decades of social, cultural, and political change in the second half of the twentieth century, Marc Stein examines the changing agendas, beliefs, strategies, and vocabularies of a movement that encompassed diverse actions, campaigns, ideologies, and organizations. From the homophile activism of the 1950s and 1960s through the rise of gay liberation and lesbian feminism in the 1970s to the multicultural and AIDS activist movements of the 1980s, this book provides a strong foundation for understanding gay, lesbian, bisexual, transgender, and queer politics today. This new edition reflects the substantial changes in the field since the book’s original publication eleven years ago. Rethinking the Gay and Lesbian Movement will be valued by everyone interested in LGBTQ struggles, the politics of movement activism, and the history of social justice in the United States.
Author: Patricia O’Campo
Publisher: Springer Science & Business Media
ISBN: 9400721382
Category : Medical
Languages : en
Pages : 348
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Book Description
To date, much of the empirical work in social epidemiology has demonstrated the existence of health inequalities along a number of axes of social differentiation. However, this research, in isolation, will not inform effective solutions to health inequalities. Rethinking Social Epidemiology provides an expanded vision of social epidemiology as a science of change, one that seeks to better address key questions related to both the causes of social inequalities in health (problem-focused research) as well as the implementation of interventions to alleviate conditions of marginalization and poverty (solution-focused research). This book is ideally suited for emerging and practicing social epidemiologists as well as graduate students and health professionals in related disciplines.
Author: Annabel Beerel
Publisher: Routledge
ISBN: 1000402541
Category : Business & Economics
Languages : en
Pages : 318
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Book Description
This book provides a detailed review of the key leadership theories and skills required during times of crises and radical uncertainty, how these can be developed, and how they can be applied in practice. Written over the course of the 2020 pandemic, the book highlights the immense lack of leadership competencies required for effective leadership in times of radical uncertainty and provides in-depth insights into the capacities and skills that should be part of all leadership development. The latest leadership theories, as well as existing key styles, including mindful leadership, the neuroscience of leadership, and transpersonal and adaptive leadership, are discussed and critiqued along with their potential contribution to developing effective leaders. Each chapter concludes with a convenient executive summary and questions that can be used for teaching purposes and class discussion. This is a comprehensive book about the interdisciplinary and multifaceted requirements of leadership and how to attain those capacities to develop effective leaders. It will be valuable for advanced undergraduate as well as postgraduate courses as a foundational resource on leadership theory and its application in practice.
Author: David P. Calleo
Publisher: Princeton University Press
ISBN: 069111367X
Category : Political Science
Languages : en
Pages : 411
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Book Description
Rethinking Europe's Future is a major reevaluation of Europe's prospects as it enters the twenty-first century. David Calleo has written a book worthy of the complexity and grandeur of the challenges Europe now faces. Summoning the insights of history, political economy, and philosophy, he explains why Europe was for a long time the world's greatest problem and how the Cold War's bipolar partition brought stability of a sort. Without the Cold War, Europe risks revisiting its more traditional history. With so many contingent factors--in particular Russia and Europe's Muslim neighbors--no one, Calleo believes, can pretend to predict the future with assurance. Calleo's book ponders how to think about this future. The book begins by considering the rival ''lessons'' and trends that emerge from Europe's deeper past. It goes on to discuss the theories for managing the traditional state system, the transition from autocratic states to communitarian nation states, the enduring strength of nation states, and their uneasy relationship with capitalism. Calleo next focuses on the Cold War's dynamic legacies for Europe--an Atlantic Alliance, a European Union, and a global economy. These three systems now compete to define the future. The book's third and major section examines how Europe has tried to meet the present challenges of Russian weakness and German reunification. Succeeding chapters focus on Maastricht and the Euro, on the impact of globalization on Europeanization, and on the EU's unfinished business--expanding into ''Pan Europe,'' adapting a hybrid constitution, and creating a new security system. Calleo presents three models of a new Europe--each proposing a different relationship with the U.S. and Russia. A final chapter probes how a strong European Union might affect the world and the prospects for American hegemony. This is a beautifully written book that offers rich insight into a critical moment in our history, whose outcome will shape the world long after our time.
