War and Chance

War and Chance PDF Author: Jeffrey A. Friedman
Publisher: Oxford University Press
ISBN: 019093803X
Category : Political Science
Languages : en
Pages : 241

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Book Description
Uncertainty surrounds every major decision in international politics. Yet there is almost always room for reasonable people to disagree about what that uncertainty entails. No one can reliably predict the outbreak of armed conflict, forecast economic recessions, anticipate terrorist attacks, or estimate the countless other risks that shape foreign policy choices. Many scholars and practitioners therefore believe that it is better to keep foreign policy debates focused on the facts - that it is, at best, a waste of time to debate uncertain judgments that will often prove to be wrong. In War and Chance, Jeffrey A. Friedman shows how foreign policy officials often try to avoid the challenge of assessing uncertainty, and argues that this behavior undermines high-stakes decision making. Drawing on an innovative combination of historical and experimental evidence, he explains how foreign policy analysts can assess uncertainty in a manner that is theoretically coherent, empirically meaningful, politically defensible, practically useful, and sometimes logically necessary for making sound choices. Each of these claims contradicts widespread skepticism about the value of probabilistic reasoning in international politics, and shows how placing greater emphasis on assessing uncertainty can improve nearly any foreign policy debate. A clear-eyed examination of the logic, psychology, and politics of assessing uncertainty, War and Chance provides scholars and practitioners with new foundations for understanding one of the most controversial elements of foreign policy discourse.

War and Chance

War and Chance PDF Author: Jeffrey A. Friedman
Publisher: Oxford University Press
ISBN: 019093803X
Category : Political Science
Languages : en
Pages : 241

Get Book Here

Book Description
Uncertainty surrounds every major decision in international politics. Yet there is almost always room for reasonable people to disagree about what that uncertainty entails. No one can reliably predict the outbreak of armed conflict, forecast economic recessions, anticipate terrorist attacks, or estimate the countless other risks that shape foreign policy choices. Many scholars and practitioners therefore believe that it is better to keep foreign policy debates focused on the facts - that it is, at best, a waste of time to debate uncertain judgments that will often prove to be wrong. In War and Chance, Jeffrey A. Friedman shows how foreign policy officials often try to avoid the challenge of assessing uncertainty, and argues that this behavior undermines high-stakes decision making. Drawing on an innovative combination of historical and experimental evidence, he explains how foreign policy analysts can assess uncertainty in a manner that is theoretically coherent, empirically meaningful, politically defensible, practically useful, and sometimes logically necessary for making sound choices. Each of these claims contradicts widespread skepticism about the value of probabilistic reasoning in international politics, and shows how placing greater emphasis on assessing uncertainty can improve nearly any foreign policy debate. A clear-eyed examination of the logic, psychology, and politics of assessing uncertainty, War and Chance provides scholars and practitioners with new foundations for understanding one of the most controversial elements of foreign policy discourse.

Esu Elegbara, the Yoruba God of Chance and Uncertainty

Esu Elegbara, the Yoruba God of Chance and Uncertainty PDF Author: Ayodele Ogundipe
Publisher:
ISBN:
Category : Folklore, Yoruba
Languages : en
Pages : 436

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Book Description


Probability and Statistics

Probability and Statistics PDF Author: Michael J. Evans
Publisher: Macmillan
ISBN: 9780716747420
Category : Mathematics
Languages : en
Pages : 704

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Book Description
Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods. *Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.

Ten Great Ideas about Chance

Ten Great Ideas about Chance PDF Author: Persi Diaconis
Publisher: Princeton University Press
ISBN: 0691196397
Category : Mathematics
Languages : en
Pages : 272

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Book Description
In the sixteenth and seventeenth centuries, gamblers and mathematicians transformed the idea of chance from a mystery into the discipline of probability, setting the stage for a series of breakthroughs that enabled or transformed innumerable fields, from gambling, mathematics, statistics, economics, and finance to physics and computer science. This book tells the story of ten great ideas about chance and the thinkers who developed them, tracing the philosophical implications of these ideas as well as their mathematical impact.

Probability and Statistics

Probability and Statistics PDF Author: John Tabak
Publisher: Infobase Publishing
ISBN: 0816068739
Category : Electronic books
Languages : en
Pages : 241

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Book Description
Presents a survey of the history and evolution of the branch of mathematics that focuses on probability and statistics, including useful applications and notable mathematicians in this area.

Fat Chance

Fat Chance PDF Author: Benedict Gross
Publisher: Cambridge University Press
ISBN: 1108641822
Category : Mathematics
Languages : en
Pages : 213

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Book Description
In a world where we are constantly being asked to make decisions based on incomplete information, facility with basic probability is an essential skill. This book provides a solid foundation in basic probability theory designed for intellectually curious readers and those new to the subject. Through its conversational tone and careful pacing of mathematical development, the book balances a charming style with informative discussion. This text will immerse the reader in a mathematical view of the world, giving them a glimpse into what attracts mathematicians to the subject in the first place. Rather than simply writing out and memorizing formulas, the reader will come out with an understanding of what those formulas mean, and how and when to use them. Readers will also encounter settings where probabilistic reasoning does not apply or where intuition can be misleading. This book establishes simple principles of counting collections and sequences of alternatives, and elaborates on these techniques to solve real world problems both inside and outside the casino. Pair this book with the HarvardX online course for great videos and interactive learning: https://harvardx.link/fat-chance.

Principles of Economics

Principles of Economics PDF Author: Edwin Robert Anderson Seligman
Publisher: New York, Longmans, Green & Company
ISBN:
Category : Economics
Languages : en
Pages : 718

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Book Description


Probability Theory

Probability Theory PDF Author:
Publisher: Allied Publishers
ISBN: 9788177644517
Category :
Languages : en
Pages : 436

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Book Description
Probability theory

Introduction to Probability

Introduction to Probability PDF Author: Joseph K. Blitzstein
Publisher: CRC Press
ISBN: 1466575573
Category : Mathematics
Languages : en
Pages : 599

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Book Description
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

Probability and Bayesian Modeling

Probability and Bayesian Modeling PDF Author: Jim Albert
Publisher: CRC Press
ISBN: 1351030124
Category : Mathematics
Languages : en
Pages : 511

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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.