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Intermediate Statistics and Econometrics
The standard introductory texts to mathematical statistics leave the Bayesian approach to be taught later in advanced topics courses-giving students the impression that Bayesian statistics provide but a few techniques appropriate in only special circumstances. Nothing could be further from the truth, argues Dale Poirier, who has developed a course for teaching comparatively both the classical and the Bayesian approaches to econometrics. Poirier's text provides a thoroughly modern, self-contained, comprehensive, and accessible treatment of the probability and statistical foundations of econometrics with special emphasis on the linear regression model. Written primarily for advanced undergradu...
Bayesian Econometric Methods
Illustrates Bayesian theory and application through a series of exercises in question and answer format.
Macroeconometrics and Time Series Analysis
Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within this compendium covers the fundamental themes within the discipline and is written by a leading practitioner in the field. A handy reference tool.
The Oxford Handbook of Bayesian Econometrics
Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology.
Bayesian Econometric Methods
This volume in the Econometric Exercises series contains questions and answers to provide students with useful practice, as they attempt to master Bayesian econometrics. In addition to many theoretical exercises, this book contains exercises designed to develop the computational tools used in modern Bayesian econometrics. The latter half of the book contains exercises that show how these theoretical and computational skills are combined in practice, to carry out Bayesian inference in a wide variety of models commonly used by econometricians. Aimed primarily at advanced undergraduate and graduate students studying econometrics, this book may also be useful for students studying finance, marketing, agricultural economics, business economics or, more generally, any field which uses statistics. The book also comes equipped with a supporting website containing all the relevant data sets and MATLAB computer programs for solving the computational exercises.
Structural Analysis of Discrete Data with Econometric Applications
The thirteen papers in "Structural Analysis of Discrete Data" are previously unpublished major research contributions solicited by the editors. They have been specifically prepared to fulfill the two-fold purpose of the volume, first to provide the econometrics student with an overview of the present extent of the subject and to delineate the boundaries of current research, both in terms of methodology and applications. "Coordinated publication of important findings" should, as the editors state, "lower the cost of entry into the field and speed dissemination of recent research into the graduate econometrics classroom."A second purpose of the volume is to communicate results largely reported...
Symmetry and Its Discontents
This volume brings together a collection of essays on the history and philosophy of probability and statistics by one of the eminent scholars in these subjects. Written over the last fifteen years, they fall into three broad categories. The first deals with the use of symmetry arguments in inductive probability, in particular, their use in deriving rules of succession. The second group deals with three outstanding individuals who made lasting contributions to probability and statistics in very different ways: Frank Ramsey, R.A. Fisher, Alan Turing, and Abraham de Moivre. The last group of essays deals with the problem of "predicting the unpredictable."
Contest Theory
Using a game-theoretic framework, this unified, comprehensive treatment of contest design in economics and computer science focuses on online applications.
Forensic Psychology and Neuropsychology for Criminal and Civil Cases
Today's increasingly sophisticated psychological and neuropsychological assessments allow for a greater understanding, and improved evaluations, in forensic psychology. By integrating discussions of modern psychological and neuropsychological tests, with extant civil and criminal cases, Forensic Psychology and Neuropsychology for Criminal and Civil Cases, Second Edition serves as a fully-updated, professional resource outlining modern behavioral science’s impact on the legal system. This second edition synthesizes the theoretical, empirical, and clinical literature, examining it through the lens of case application. The book is divided into three parts to look at foundational legal, ethica...
Heaven and Earth in the Gospel of Matthew
A much-overlooked aspect of the Gospel of Matthew is the theme of heaven and earth. Rather than being a reverential circumlocution for God, 'heaven' in Matthew is part of a highly developed discourse of heaven and earth language. Matthew's idiolectic way of using heaven language consists of four aspects: 1) a distinction in meaning between singular and plural forms of "ouranos"; 2) frequent use of the heaven and earth word pair; 3) regular reference to the Father in heaven; and 4) the recurrent use of the Matthean expression, kingdom of heaven. This book examines the historical precedents for each of these aspects and shows in Matthew how they serve one overriding theological purpose: to highlight the tension that currently exists between heaven and earth or God and humanity, while looking forward to its eschatological resolution.
