Rating: 0 out of 5 stars
0 ratings
Ebook258 pages7 hours
Contemporary Bayesian Econometrics and Statistics
By John Geweke
Rating: 0 out of 5 stars
()
About this ebook
Tools to improve decision making in an imperfect world
This publication provides readers with a thorough understanding of Bayesian analysis that is grounded in the theory of inference and optimal decision making. Contemporary Bayesian Econometrics and Statistics provides readers with state-of-the-art simulation methods and models that are used to solve complex real-world problems. Armed with a strong foundation in both theory and practical problem-solving tools, readers discover how to optimize decision making when faced with problems that involve limited or imperfect data.
The book begins by examining the theoretical and mathematical foundations of Bayesian statistics to help readers understand how and why it is used in problem solving. The author then describes how modern simulation methods make Bayesian approaches practical using widely available mathematical applications software. In addition, the author details how models can be applied to specific problems, including:
* Linear models and policy choices
* Modeling with latent variables and missing data
* Time series models and prediction
* Comparison and evaluation of models
The publication has been developed and fine- tuned through a decade of classroom experience, and readers will find the author's approach very engaging and accessible. There are nearly 200 examples and exercises to help readers see how effective use of Bayesian statistics enables them to make optimal decisions. MATLAB? and R computer programs are integrated throughout the book. An accompanying Web site provides readers with computer code for many examples and datasets.
This publication is tailored for research professionals who use econometrics and similar statistical methods in their work. With its emphasis on practical problem solving and extensive use of examples and exercises, this is also an excellent textbook for graduate-level students in a broad range of fields, including economics, statistics, the social sciences, business, and public policy.
This publication provides readers with a thorough understanding of Bayesian analysis that is grounded in the theory of inference and optimal decision making. Contemporary Bayesian Econometrics and Statistics provides readers with state-of-the-art simulation methods and models that are used to solve complex real-world problems. Armed with a strong foundation in both theory and practical problem-solving tools, readers discover how to optimize decision making when faced with problems that involve limited or imperfect data.
The book begins by examining the theoretical and mathematical foundations of Bayesian statistics to help readers understand how and why it is used in problem solving. The author then describes how modern simulation methods make Bayesian approaches practical using widely available mathematical applications software. In addition, the author details how models can be applied to specific problems, including:
* Linear models and policy choices
* Modeling with latent variables and missing data
* Time series models and prediction
* Comparison and evaluation of models
The publication has been developed and fine- tuned through a decade of classroom experience, and readers will find the author's approach very engaging and accessible. There are nearly 200 examples and exercises to help readers see how effective use of Bayesian statistics enables them to make optimal decisions. MATLAB? and R computer programs are integrated throughout the book. An accompanying Web site provides readers with computer code for many examples and datasets.
This publication is tailored for research professionals who use econometrics and similar statistical methods in their work. With its emphasis on practical problem solving and extensive use of examples and exercises, this is also an excellent textbook for graduate-level students in a broad range of fields, including economics, statistics, the social sciences, business, and public policy.
Author
John Geweke
John Geweke is Distinguished Research Professor at the University of Technology Sydney, and research professor at the University of Colorado. He is the coeditor of the Journal of Econometrics and his most recent previous book is Contemporary Bayesian Econometrics and Statistics (Wiley).
Related to Contemporary Bayesian Econometrics and Statistics
Titles in the series (100)
Periodically Correlated Random Sequences: Spectral Theory and Practice Time Series Analysis: Nonstationary and Noninvertible Distribution Theory Rating: 0 out of 5 stars0 ratingsSurvey Measurement and Process Quality Rating: 0 out of 5 stars0 ratingsBusiness Survey Methods Rating: 0 out of 5 stars0 ratingsProbability and Conditional Expectation: Fundamentals for the Empirical Sciences Rating: 0 out of 5 stars0 ratingsApplied Spatial Statistics for Public Health Data Rating: 0 out of 5 stars0 ratingsMeasurement Errors in Surveys Rating: 0 out of 5 stars0 ratingsMethods for Statistical Data Analysis of Multivariate Observations Rating: 0 out of 5 stars0 ratingsPreparing for the Worst: Incorporating Downside Risk in Stock Market Investments Rating: 4 out of 5 stars4/5Nonlinear Statistical Models Rating: 0 out of 5 stars0 ratingsApplications of Statistics to Industrial Experimentation Rating: 3 out of 5 stars3/5Statistics and Causality: Methods for Applied Empirical Research Rating: 0 out of 5 stars0 ratingsLinear Regression Analysis Rating: 3 out of 5 stars3/5Nonparametric Finance Rating: 0 out of 5 stars0 ratingsFractal-Based Point Processes Rating: 4 out of 5 stars4/5Time Series Analysis with Long Memory in View Rating: 0 out of 5 stars0 ratingsRobust Correlation: Theory and Applications Rating: 0 out of 5 stars0 ratingsA Course in Time Series Analysis Rating: 3 out of 5 stars3/5Theory of Probability: A critical introductory treatment Rating: 0 out of 5 stars0 ratingsSequential Stochastic Optimization Rating: 0 out of 5 stars0 ratingsComputation for the Analysis of Designed Experiments Rating: 0 out of 5 stars0 ratingsTheory of Ridge Regression Estimation with Applications Rating: 0 out of 5 stars0 ratingsMeasuring Agreement: Models, Methods, and Applications Rating: 0 out of 5 stars0 ratingsAspects of Multivariate Statistical Theory Rating: 0 out of 5 stars0 ratingsLinear Statistical Inference and its Applications Rating: 0 out of 5 stars0 ratingsMultiple Imputation for Nonresponse in Surveys Rating: 2 out of 5 stars2/5Regression With Social Data: Modeling Continuous and Limited Response Variables Rating: 0 out of 5 stars0 ratingsSensitivity Analysis in Linear Regression Rating: 0 out of 5 stars0 ratingsFundamental Statistical Inference: A Computational Approach Rating: 0 out of 5 stars0 ratingsForecasting with Univariate Box - Jenkins Models: Concepts and Cases Rating: 0 out of 5 stars0 ratings
Related ebooks
Subjective and Objective Bayesian Statistics: Principles, Models, and Applications Rating: 0 out of 5 stars0 ratingsA Matrix Handbook for Statisticians Rating: 0 out of 5 stars0 ratingsGeneralized Linear Models: with Applications in Engineering and the Sciences Rating: 4 out of 5 stars4/5Handbook of Computational Econometrics Rating: 0 out of 5 stars0 ratingsAn Introduction to Optimization Rating: 0 out of 5 stars0 ratingsOrder Statistics Rating: 0 out of 5 stars0 ratingsRegression Models for Time Series Analysis Rating: 2 out of 5 stars2/5Bayesian Statistical Modelling Rating: 2 out of 5 stars2/5The EM Algorithm and Extensions Rating: 0 out of 5 stars0 ratingsApplied Regression Including Computing and Graphics Rating: 5 out of 5 stars5/5Simulation: A Modeler's Approach Rating: 0 out of 5 stars0 ratingsStatistics of Extremes: Theory and Applications Rating: 4 out of 5 stars4/5Mixtures: Estimation and Applications Rating: 0 out of 5 stars0 ratingsApplied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives Rating: 0 out of 5 stars0 ratingsClassic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times Rating: 0 out of 5 stars0 ratingsAn Introduction to Envelopes: Dimension Reduction for Efficient Estimation in Multivariate Statistics Rating: 0 out of 5 stars0 ratingsStatistical Data Cleaning with Applications in R Rating: 0 out of 5 stars0 ratingsStochastic Processes for Insurance and Finance Rating: 0 out of 5 stars0 ratingsVariational Analysis: Critical Extremals and Sturmian Extensions Rating: 5 out of 5 stars5/5Multicriteria Decision Aid and Artificial Intelligence: Links, Theory and Applications Rating: 0 out of 5 stars0 ratingsLinear Programming and Resource Allocation Modeling Rating: 0 out of 5 stars0 ratingsNonparametric Analysis of Univariate Heavy-Tailed Data: Research and Practice Rating: 0 out of 5 stars0 ratingsMulti-Agent Machine Learning: A Reinforcement Approach Rating: 0 out of 5 stars0 ratingsProbability: A Survey of the Mathematical Theory Rating: 0 out of 5 stars0 ratingsThe Statisticians and Their Statistics Rating: 0 out of 5 stars0 ratingsFundamental Statistical Inference: A Computational Approach Rating: 0 out of 5 stars0 ratingsA History of Probability and Statistics and Their Applications before 1750 Rating: 0 out of 5 stars0 ratingsRandom Data: Analysis and Measurement Procedures Rating: 4 out of 5 stars4/5Summary of Christina Hoff Sommers's The War Against Boys Rating: 0 out of 5 stars0 ratingsMultiple Imputation for Nonresponse in Surveys Rating: 2 out of 5 stars2/5
Mathematics For You
Linear Algebra For Dummies Rating: 3 out of 5 stars3/5Algorithms to Live By: The Computer Science of Human Decisions Rating: 4 out of 5 stars4/5HP Prime Guide Algebra Fundamentals: HP Prime Revealed and Extended Rating: 0 out of 5 stars0 ratingsCalculus For Dummies Rating: 4 out of 5 stars4/5The Art of Statistical Thinking Rating: 5 out of 5 stars5/5Fermat’s Last Theorem Rating: 4 out of 5 stars4/5How Minds Change: The New Science of Belief, Opinion and Persuasion Rating: 0 out of 5 stars0 ratingsThe Music of the Primes: Why an unsolved problem in mathematics matters (Text Only) Rating: 3 out of 5 stars3/5Think Like A Maths Genius: The Art of Calculating in Your Head Rating: 0 out of 5 stars0 ratingsIntroducing Game Theory: A Graphic Guide Rating: 4 out of 5 stars4/5The Art of Logic: How to Make Sense in a World that Doesn't Rating: 0 out of 5 stars0 ratingsLogicomix: An epic search for truth Rating: 4 out of 5 stars4/5Is Maths Real?: How Simple Questions Lead Us to Mathematics’ Deepest Truths Rating: 3 out of 5 stars3/5Game Theory: A Simple Introduction Rating: 4 out of 5 stars4/5Summary of The Black Swan: by Nassim Nicholas Taleb | Includes Analysis Rating: 5 out of 5 stars5/5The Cartoon Introduction to Calculus Rating: 5 out of 5 stars5/5An Introduction to Phase-Integral Methods Rating: 0 out of 5 stars0 ratingsHow to Bake Pi: Easy recipes for understanding complex maths Rating: 3 out of 5 stars3/5Pre-Calculus For Dummies Rating: 5 out of 5 stars5/5Game Theory: Understanding the Mathematics of Life Rating: 0 out of 5 stars0 ratingsThe Joy of X: A Guided Tour of Mathematics, from One to Infinity Rating: 0 out of 5 stars0 ratingsIntroduction to Proof in Abstract Mathematics Rating: 5 out of 5 stars5/5Calculus Essentials For Dummies Rating: 5 out of 5 stars5/5Learn Game Theory: Strategic Thinking Skills, #1 Rating: 5 out of 5 stars5/5Trigonometry For Dummies Rating: 0 out of 5 stars0 ratings
Related podcast episodes
The Origins of the Austrian School of Economics With Rahim Taghizadegan 0% found this document usefulJ1ST 052: The Temperaments with Alex DeRose: Just One Small Thing: Everyday Wisdom for Catholic Women 0% found this document usefulJ. Doyne Farmer on The Complexity Economics Revolution 0% found this document usefulThe Bubble Economy: Is Sustainable Growth Possible?: An interview with Robert U. Ayres 0% found this document usefulProf. Chris Bishop's NEW Deep Learning Textbook! 0% found this document usefulZoltan Pozsar and Perry Mehrling On The Historic Crisis Of Financial Market Plumbing 0% found this document usefulThe Agricultural Dilemma: How Not to Feed the World 0% found this document useful#115 Using Time Series to Estimate Uncertainty, with Nate Haines 0% found this document usefulWhat to consider when choosing an image analysis solution for phenotyping? (part 3) w/ Regan Baird, Visiopharm 0% found this document useful17: How Extracting Gold From Your Data Accelerates Process Development w/ Ioscani Jiménez del Val - Part 1 0% found this document usefulA Universal Law of Robustness via Isoperimetry with Sebastien Bubeck - #551 0% found this document useful#109 Prior Sensitivity Analysis, Overfitting & Model Selection, with Sonja Winter 0% found this document usefulHarnessing the Power of Heterogeneity in cryo-EM 0% found this document usefulIon Chromatography FAQs Part 2 0% found this document usefulGeoCalib: Learning Single-image Calibration with Geometric Optimization 0% found this document useful
Related articles
Why It’s Hard to Recognize the Unlikely NautilusArticle
Why It’s Hard to Recognize the Unlikely
Apr 27, 2016
6 min readClimate Scientists Try To Cut Their Own Carbon Footprints AppleMagazineArticle
Climate Scientists Try To Cut Their Own Carbon Footprints
Dec 13, 2019
4 min readWhy the Rent Inflation Is So Damn High The AtlanticArticle
Why the Rent Inflation Is So Damn High
Aug 18, 2022
4 min readWhere Will AI Take Us in 2024? The AtlanticArticle
Where Will AI Take Us in 2024?
Dec 29, 2023
1 min readGive Your Money. Give Your Time. Don’t Tell Anyone. The AtlanticArticle
Give Your Money. Give Your Time. Don’t Tell Anyone.
Dec 30, 2021
4 min readDouble Trouble Guardian WeeklyArticle
Double Trouble
Sep 22, 2023
3 min readBeyond Deep Space All About SpaceArticle
Beyond Deep Space
Jul 18, 2019
7 min readWhat I Wish More People Knew About American Evangelicalism The AtlanticArticle
What I Wish More People Knew About American Evangelicalism
Feb 7, 2024
6 min readStatisticians' Call To Arms: Reject Significance And Embrace Uncertainty! NPRArticle
Statisticians' Call To Arms: Reject Significance And Embrace Uncertainty!
Mar 20, 2019
4 min readAre You A Platonist Or An Aristotelian? The AtlanticArticle
Are You A Platonist Or An Aristotelian?
Oct 24, 2024
6 min readThe Deepest Uncertainty: When a hypothesis is neither true nor false. NautilusArticle
The Deepest Uncertainty: When a hypothesis is neither true nor false.
Jun 6, 2013
Georg Cantor died in 1918 in a sanatorium in Halle, Germany. A pre-eminent mathematician, he had laid the foundation for the theory of infinite numbers in the 1870s. At the time, his ideas received hostile opposition from prominent mathematicians in
4 min readA Math Whiz on How to Stop Stressing About Election Forecasts The AtlanticArticle
A Math Whiz on How to Stop Stressing About Election Forecasts
Nov 2, 2020
6 min readThe Pasta Theory of Memory & Your Personal Beginning of Time NautilusArticle
The Pasta Theory of Memory & Your Personal Beginning of Time
Jan 10, 2014
4 min readSchopenhauer’s Advice on How to Achieve Great Things The AtlanticArticle
Schopenhauer’s Advice on How to Achieve Great Things
Feb 8, 2024
6 min readQuantum Field Theory Pries Open Mathematical Puzzle QuantaArticle
Quantum Field Theory Pries Open Mathematical Puzzle
Feb 16, 2023
1 min readDON’T TRUST your GUT FairladyArticle
DON’T TRUST your GUT
Feb 17, 2023
8 min readThe Rise of the Uncertain: Uncertainty in Physics Has Gone From Black Sheep to Overachiever.: Uncertainty in physics has gone from black sheep to overachiever. NautilusArticle
The Rise of the Uncertain: Uncertainty in Physics Has Gone From Black Sheep to Overachiever.: Uncertainty in physics has gone from black sheep to overachiever.
Jun 6, 2013
Let me tell you a short, fictitious story about a very real Spanish conquistador, Francisco de Orellana. In 1546 he was captured and imprisoned in a small, dank cell. Before long he was summoned, and a judge sentenced him to death. To add insult to i
8 min readThe Coming Climate Crisis Foreign Policy MagazineArticle
The Coming Climate Crisis
Jan 22, 2019
7 min readHow the Slowest Computer Programs Illuminate Math’s Fundamental Limits QuantaArticle
How the Slowest Computer Programs Illuminate Math’s Fundamental Limits
Dec 10, 2020
6 min readThe 20 Best Podcasts of 2024 The AtlanticArticle
The 20 Best Podcasts of 2024
Dec 24, 2024
11 min readThe Brief business. Distilled. FortuneArticle
The Brief business. Distilled.
Feb 2, 2023
6 min readNozick on Taxation: The Necessity of Funding the Legitimate State The Independent ReviewArticle
Nozick on Taxation: The Necessity of Funding the Legitimate State
Sep 21, 2024
In his inimitably provocative style, the libertarian Robert Nozick in 1974 declared that “taxation of earnings from labor is on a par with forced labor” (169). A bold claim for a Harvard professor. Nozick’s line stands alongside other famous tax quot
22 min readWhy the Laws of Physics Are Inevitable NautilusArticle
Why the Laws of Physics Are Inevitable
Dec 9, 2019
5 min readThe Most Mysterious Cells in Our Bodies Don’t Belong to Us The AtlanticArticle
The Most Mysterious Cells in Our Bodies Don’t Belong to Us
Jan 3, 2024
7 min readKeeping Up With The Joneses New PhilosopherArticle
Keeping Up With The Joneses
Nov 6, 2017
8 min readHow I Nearly Became A Chinese Spy The Critic MagazineArticle
How I Nearly Became A Chinese Spy
Feb 24, 2022
6 min readConservatism: The Fight for a Tradition The Independent ReviewArticle
Conservatism: The Fight for a Tradition
Sep 15, 2022
By Edmund Fawcett Princeton, N.J.: Princeton University Press, 2020. Pp. xv, 525. $35 hardcover. In recent years conservatism has returned with a vengeance. But which conservatism is it? Edmund Fawcett tells a tale of two conservatisms: a liberal con
6 min readYou’re Not Perfect The AtlanticArticle
You’re Not Perfect
Jun 6, 2024
5 min readKick Off Fall With The Monitor’s 10 Best Books Of September The Christian Science MonitorArticle
Kick Off Fall With The Monitor’s 10 Best Books Of September
Sep 18, 2024
The Life Impossible, by Matt Haig Matt Haig’s tender second novel after “The Midnight Library” revisits the question of how to live your best life. When a retired, widowed math teacher in England inherits property on a Spanish island from a former co
2 min readAI Search Is Turning Into the Problem Everyone Worried About The AtlanticArticle
AI Search Is Turning Into the Problem Everyone Worried About
Nov 6, 2023
7 min read
Reviews for Contemporary Bayesian Econometrics and Statistics
Rating: 0 out of 5 stars
0 ratings
0 ratings0 reviews
Book preview
Contemporary Bayesian Econometrics and Statistics - John Geweke
Enjoying the preview?
Page 1 of 1