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Davidson J: Asymptotics for Fractional
Processes

Asymptotics for Fractional Processes

Chapman & Hall/CRC Texts in Statistical Science

Bayesian Statistical Methods: With Applications to Machine Learning provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. Compared to others, this book is more focused on Bayesian methods applied routinely in practice, including multiple linear regression, mixed effects models and generalized linear models. This second edition includes a new chapter on Bayesian machine learning methods to handle large and complex datasets and several new applications to illustrate the benefits of the Bayesian approach in terms of uncertainty quantification. Readers familiar with only introductory statistics will find this book accessible, as it includes many worked examples with complete R code, and comparisons are presented with analogous frequentist procedures. The book can be used as a one-semester course for advanced undergraduate and graduate students and can be used in courses comprising undergraduate statistics majors, as well as non-statistics graduate students from other disciplines such as engineering, ecology and psychology. In addition to thorough treatment of the basic concepts of Bayesian inferential methods, the book covers many general topics:<ul> <li>Advice on selecting prior distributions</li> <li>Computational methods including Markov chain Monte Carlo (MCMC) sampling</li> <li>Model-comparison and goodness-of-fit measures, including sensitivity to priors.</li> </ul>To illustrate the flexibility of the Bayesian approaches for complex data structures, the latter chapters provide case studies covering advanced topics:<ul> <li>Handling of missing and censored data</li> <li>Priors for high-dimensional regression models</li> <li>Machine learning models including Bayesian adaptive regression trees and deep learning</li> <li>Computational techniques for large datasets</li> <li>Frequentist properties of Bayesian methods.</li> </ul>The advanced topics are presented with sufficient conceptual depth that the reader will be able to carry out such analysis and argue the relative merits of Bayesian and classical methods. A repository of R code, motivating data sets and complete data analyses is made available on the book's website.

With Applications to Machine Learning

Bayesian Statistical Methods

Professional Practice in Governance and Public Organizations

This Open Access book highlights the importance of administrative microdata sources. Administrative data presents several advantages, including wide coverage, low measurement error and collection costs, and interoperability with surveys.&nbsp;Improved access would benefit many stakeholders: the research community would produce higher-quality and more numerous publications, policymakers and citizens would learn whether policies are effective, firms would benefit from greater market transparency, and trust in public institutions would increase. However, many barriers still exist. This book aims to address these issues.Focusing on the European Union, the book is organized into two parts. The first part analyzes the access regimes in each EU country. It provides data users with information on how to access administrative data and offers data holders best practices for combining access with data security. The second part documents the benefits of administrative data in key policy areas - society, the economy, and the environment - and identifies specific areas of intervention.Administrative data are the foundation for modern policy analysis. Berton and Paruolo’s exciting new book highlights state-of-the art applications of administrative data, offering practical advice on how to use the right data to learn “what works”. It also includes a valuable country-by-country overview of the administrative data in each EU country, curated by a who’s who list of experts.&nbsp; A must-read for anyone looking to learn more about the prospects and potential for administrative data in the EU.David CardCo-winner of the 2021 Nobel Memorial Prize in Economics

From Administrative Sources to Public Value

Data-Driven Learning in the EU

County and City Extra Series

When you want only one source of information about your city or county, turn to County and City Extra. This trusted reference compiles information from many sources to provide all the key demographic and economic data for every state, county, metropolitan area, congressional district, and for all cities in the United States with a 2010 population of 25,000 or more. In one volume, you can conveniently find data from 1990 to 2023 in easy-to-read tables. The annual updating of County and City Extra for 30 years ensures its stature as a reliable and authoritative source for information. No other resource compiles this amount of detailed information into one place. Subjects covered in County and City Extra include: Population by age and raceGovernment financesIncome and povertyManufacturing, trade, and servicesCrimeHousingEducationImmigration and migrationLabor force and employmentAgriculture, land, and waterResidential constructionHealth resourcesVoting and elections The main body of this volume contains five basic parts and covers the following areas: Part A-States Part B-Counties Part C-Metropolitan areas Part D-Cities with a 2010 census population of 25,000 or more Part E-Congressional districts In addition, this publication includes: Figures and text in each section that highlight pertinent data and provide analysisRanking tables which present each geography type by various subjects including population, land area, population density, educational attainment, housing values, race, unemployment, and crime Furthermore, this volume contains several appendixes which include: Notes and explanations for further referenceDefinitions of geographic conceptsA listing of metropolitan and micropolitan areas and their component counties A list of cities by county Maps showing congressional districts, counties, and selected places within each state

Annual Metro, City, and County Data Book

County and City Extra 2026

Advanced Studies in Theoretical and Applied Econometrics

This compendium collects advances and reflections on the teaching of econometrics from internationally well-known econometricians, including a number of accomplished textbook writers. The subjects range from reflections on many decades of teaching econometrics to studies of the instruction of specific examples and methods. It is aimed at teachers and students of econometrics at all levels.

A Tribute to R. Carter Hill

Teaching Econometrics

Unlock the full potential of quantitative trading with Prescriptions for Quant Traders Using R-a practical, hands-on guide for turning data into trading decisions.This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. Organized into ten structured parts, it delivers step-by-step "prescriptions" using R-script-driven tasks that solve real-world trading problems. Each prescription is designed to be immediately actionable, so readers can move from concept to implementation without guesswork.What makes this book different is its clarity, utility, and its link to online video walk-throughs of R scripts. Modeled in the spirit of a Scientific American article, the text flows seamlessly without interruptions, yet a comprehensive bibliography ensures depth and rigor. Every chapter blends explanation with executable code, enabling traders to:<ul> <li> Design systematic trading strategies in R - and understand why they work.</li> <li> Apply robust statistical and econometric methods to financial data for better predictions.</li> <li> Evaluate risk and performance metrics to refine strategies with confidence.</li> <li> Automate workflows so insights move faster from model to market.</li> </ul>Whether you are a retail trader aiming to compete with professionals, a financial analyst seeking sharper models, or a data scientist expanding into trading, this book bridges the gap between theory and practice.Readers will find special value in the prescription-based approach. Just as a doctor prescribes remedies, these scripts deliver targeted solutions to trading challenges-from portfolio optimization and volatility forecasting to Bayesian inference and machine learning integration.In a marketplace where retail participation continues to grow, Prescriptions for Quant Traders Using R equips you with the knowledge, tools, and confidence to approach trading systematically. The result: deeper insights, stronger discipline, and strategies that stand the test of real-world markets.Whether you're coding your first model or refining a sophisticated strategy, this book provides the prescriptions you need to succeed.

Videos & Scripts

Prescriptions for Quant Traders Using R

Elements in Econophysics

Classical mechanics provided the conceptual and methodological foundations of neoclassical economics, which has its roots in economic individualism. Since the early twentieth century, statistical mechanics has underpinned a lesser-known approach to economics and finance, one that focuses on aggregates and the interactions between individuals. This has led to the emergence of a new field of research, known as econophysics, which brings to the fore concepts such as emergent properties, power laws, networks, entropy, and multifractality, thereby reshaping economic enquiry.

A Connected History of Two Disciplines

The Rise of Econophysics

World Scientific Lecture Notes In Economics And Policy

This book attempts to understand the operation and properties of 'market economies'. We do this by carefully examining, refining and in some cases extending the major theorems that Microeconomics has established in response to the Walrasian conjecture. We critically evaluate theorems and results, that assert the existence, uniqueness, stability, optimality and empirical relevance of Walrasian equilibrium states. As a result of our work, we attempt to comment on the wisdom of recommending that socio-economic systems operate as a collection of deregulated competitive markets.

Lectures In General Equilibrium Microeconomics

Derivatives: Mathematical Foundations for Finance Students is written for students of finance and actuarial science who want to understand derivatives not just as formulas but as ideas that make sense. The goal is to build the mathematical foundations up step by step - starting from the familiar territory of first-year undergraduate probability and statistics and moving all the way to stochastic calculus and the principles of risk-neutral pricing, which form the heart of modern financial mathematics.This text will enable the reader to:¿ understand models of asset price behaviour and apply stochastic calculus ¿ use stochastic simulations in R to investigate processes and price options ¿ price options with the binomial model ¿ derive solutions to the Black-Scholes equation using risk-neutral pricing ¿ price interest-rate derivatives using Black's model, short-rate models and the Heath-Jarrow-Morton (HJM) framework ¿ tackle quantitative finance exam questions.It incorporates a range of learning features to aid student understanding, including boxed examples, end-of-chapter summaries, selected questions from Society of Actuaries (US) Quantitative Finance examinations and further reading suggestions. The book is also supported by a suite of digital learning resources, including PowerPoint slides, multiple choice questions, instructor manual/advice document for lecturers, and a test bank.Derivatives: Mathematical Foundations for Finance Students will appeal to both undergraduate and postgraduate students who wish to understand the principles of stochastic calculus and option pricing.

Mathematical Foundations for Finance Students

Derivatives

Clear, practical, and rigorous: Proud's Statistics in Economics shows students how to use and apply data and statistics to solve real problems in economics and business. Statistics for Economics is the most applied textbook available bringing theory to life through real-world data and problems, while remaining flexible and accessible for students of all mathematical backgrounds. · Applied and relevant: Every concept is grounded in real-world business and economics examples, helping students see the relevance of statistics from day one. Data analysis exercises, Excel walkthroughs, and dataset-based questions ensure students build practical skills they can use immediately. · Designed for diverse cohorts: With a maths primer and hundreds of multiple-choice questions, the text supports students from all mathematical backgrounds-ideal for mixed-ability groups and inclusive teaching. · Engaging and insightful: Moves beyond dry theory with compelling examples-from using Bayes' theorem to locate missing aircraft to exploring bias in election polling-keeping students interested and encouraging deeper thinking. · End-of-chapter review questions reinforce key concepts and promote critical thinking, while multiple-choice questions embedded throughout each chapter allow students to test their understanding as they learn-encouraging continuous engagement and retention. · Digitally enriched: The digital edition includes integrated video walkthroughs of worked examples, interactive data exercises using real-world datasets, multiple-choice questions, and flashcards-supporting blended and online learning environments. Digital formats and resources This title is available for students and institutions to purchase in a variety of formats: the e-book offers a mobile experience and convenient access along with functionality tools, navigation features and links that offer extra learning support. For more information about e-books, please visit www.oxfordtextbooks.co.uk/ebooks <https: www.oxfordtextbooks.co.uk="" ebooks=""> Teaching resources for adopting lecturers include: PowerPoint slides Test bank Instructor's Manual Maths Primer</https:>

STATISTICS FOR ECONOMICS

Routledge Studies in Economic Theory, Method and Philosophy

A plethora of empirical studies on corporate finance do not yield clear results, making it difficult to draw consistent conclusions. Metäanalysis is a method that integrates the results of primary studies, identifies and eliminates the influence of publication bias, and allows for the examination of factors affecting the heterogeneity of these results. This book aims to disseminate knowledge about metäanalysis as a research methodology in the field of corporate finance. It highlights the additional benefits offered by metäanalysis compared to the results of primary research while discussing the limitations of this method. It presents the research procedures used in metäanalysis, but its originality lies in the fact that the starting point is not a write¿up of the method but an outline of contemporary research issues in corporate finance. A significant part of this book is devoted to illustrating the metäanalytical approach to these issues, preceded by examples of metäanalysis in other fields of science for comparison. In addition, this book addresses the question of whether and how metäanalysis integrating the results of primary research can contribute to the development of corporate finance theory.This book is intended for researchers specializing in finance, especially corporate finance, conducting empirical research; doctoral and master's students in finance; and analyst¿practitioners conducting research for use by government institutions or large corporations.

A Methodology for Empirical Research

Meta-Analysis in Corporate Finance

SpringerBriefs in Economics

This book offers a regression-based analysis of corporate profitability in the United States over the period 1950 to 2024. Drawing on detailed analysis of 71 leading corporations across 11 key industries-from petroleum and natural gas to high-tech and government contracting-this book reveals a striking pattern: operating-profit markups have remained both high and remarkably stable over the past seven decades.
Using a clear and accessible regression-based methodology, the author demonstrates how corporations have consistently maintained their ability to pass through costs, challenging common assumptions about volatility in profit margins.
Written by a seasoned expert for professionals in&nbsp;corporate accounting, corporate law, finance, taxation, and&nbsp;economic policy, this book provides:
A robust empirical framework for analyzing long-term profitability

Industry-specific insights into pricing power and cost pass-through

A valuable resource for understanding corporate behavior across economic cycles






Whether you're advising clients, shaping policy, or conducting research, this book offers essential insights into the enduring dynamics of corporate profitability.

Operating Profit Markups in Leading U.S. Firms

U.S. Corporate Profits, 1950–2024

Asymptotics for Fractional Processes

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