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  • Bayesian Social Science Statistics: Volume 2

    Getting Productive

    par Jeff Gill, Le Bao ...
    Collections series Elements in Quantitative and Computational Methods for the Social Sciences
    This Element introduces the basics of Bayesian regression modeling using modern computational tools. This Element only assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level of Gill and Bao (2024). Some matrix algebra knowledge is assumed but the authors walk carefully through the necessary structures at the start of this Element. At ... En savoir plus

    $20.99 CAD

  • Bayesian Social Science Statistics

    From the Very Beginning

    par Jeff Gill, Le Bao ...
    Collections series Elements in Quantitative and Computational Methods for the Social Sciences
    In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. No previous knowledge is required other than that in a basic statistics course. At the end of the process, readers will understand the core tenets of Bayesian theory and practice in a way that ... En savoir plus

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  • Get Sorted

    How to make the most of your student experience

    par Jeff Gill, Will Medd ...
    Collections series Bloomsbury Study Skills
    This book is about you. It's about how you can shape your student experience based on what matters to you. It helps you to 'get sorted', take control and make the most of your time at college or university.This unique and practical self-coaching guide bridges the gap between student life, academic performance and employability skills. It actively encourages students to discover ways to shape their ... En savoir plus

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  • Your Phd Coach: How To Get The Phd Experience You Want

    par Jeff Gill, Will Medd ...
    This essential new self-coaching guide will help students to discover their full potential and bring vitality to their PhD experience and beyond by developing self-sufficiency, resourcefulness and resilience. ... En savoir plus

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  • What Works

    A New Approach To Program And Policy Analysis

    What Works is a concise methods text that represents a new approach for policy program analysis. The authors, Meier and Gill, combine statistics with normative concerns. They consider how things might be, and they focus on subsets of cases that differ from the norm. Their approach uses regression and methods in a qualitative, yet rigorous manner.In What Works, the authors address questions such as ... En savoir plus

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  • Bayesian Methods

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    par Jeff Gill ...
    Collections series Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
    An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social ScientistsNow that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of th ... En savoir plus

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  • Bayesian Cognitive Modeling

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    Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters ... En savoir plus

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  • Introduction to Bayesian Econometrics

    This textbook explains the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It defines the likelihood function, prior distributions and posterior distributions. It explains how posterior distributions are the basis for inference and explores their basic properties. Various methods of specifying prior ... En savoir plus

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  • Introductory Statistical Inference with the Likelihood Function

    Collections series Mathematics and Statistics (R0)
    This textbook covers the fundamentals of statistical inference and statistical theory including Bayesian and frequentist approaches and methodology possible without excessive emphasis on the underlying mathematics. This book is about some of the basic principles of statistics that are necessary to understand and evaluate methods for analyzing complex data sets. The likelihood function is used for ... En savoir plus

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  • A Student’s Guide to Bayesian Statistics

    par Ben Lambert ...
    Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics.Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at ... En savoir plus

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  • Mostly Harmless Econometrics

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    The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes. In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be ... En savoir plus

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  • Mastering 'Metrics

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    From Joshua Angrist, winner of the Nobel Prize in Economics, and Jörn-Steffen Pischke, an accessible and fun guide to the essential tools of econometric researchApplied econometrics, known to aficionados as 'metrics, is the original data science. 'Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. Through accessible discussion and with a dose ... En savoir plus

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