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Mathematics and Statistics (R0)

Mikulás Luptácik

Klaus Prettner

Mathematical Optimization and Economic Analysis

&lt;p&gt;Part 1. Single-Objective Optimization.- Scarcity and Efficiency.- Kuhn-Tucker Conditions.- Convex Programming.- Linear Programming.- Data Envelopment Analysis.- Geometric Programming.- Part 2. Multiobjective Optimization.- Fundamentals of Multiobjective Optimization.- Multiobjective Linear Programming.- Multiobjective Geometric Programming.- Part 3. Dynamic Optimization.-&amp;nbsp;Dynamic Optimization.- Applications of Dynamic Optimization.&lt;/p&gt;

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

Routledge Advanced Texts in Economics and Finance

Now in its second edition, Applied Spatial Statistics and Econometrics offers a modern and accessible introduction to spatial data analysis using R. Emphasising reproducibility, real-world datasets, and practical workflows, this comprehensive guide introduces spatial thinking from a critical analytical perspective, highlighting the importance of location, distance, and neighbourhood effects in shaping social and economic phenomena.Readers are guided through foundational concepts, including spatial data structures (areal, point, and grid data), visualisation techniques, and spatial econometric models such as spatial lag, spatial error, and spatial Durbin specifications. Updates reflect the substantial evolution of spatial models and R packages, such as the transition to sf and terra, enhancements to spatstat, new tools for spatial sampling and bootstrap, and fully reproducible analyses with complete R code. Topics include geographically weighted regression, spatial point pattern analysis, DEGURBA classification and spatial principal component analysis.Accompanied by datasets and complete R code on GitHub and RPubs, the book enables readers to replicate analyses and adapt methods to their own research. It is an essential resource for advanced students of econometrics, spatial planning, and regional science, as well as researchers and data scientists seeking to harness the power of spatial analysis for evidence-based insights and policy recommendations.

Data Analysis in R

Applied Spatial Statistics and Econometrics

A Guide for Researchers and Practitioners

Understanding Vector Autoregressions

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

Econometric Society Monographs

The Evolutionary Foundations of Preferences

Business and Management (R0)

Konstantin M. Zuev

Foundations of Data Analysis

Fundamentals of Statistical Inference

Every five years, the World Congress of the Econometric Society brings together scholars from around the world. Leading scholars present state-of-the-art overviews of their areas of research, offering newcomers access to key research in economics. Advances in Economics and Econometrics: Twelfth World Congress consist of papers and commentaries presented at the Twelfth World Congress of the Econometric Society. This two-volume set includes surveys and interpretations of key developments in economics and econometrics, and discussion of future directions for a variety of topics, covering both theory and application. The first volume addresses such topics as contract theory, industrial organization, health and human capital, as well as racial justice, while the second volume includes theoretical and applied papers on climate change, time series econometrics, and causal inference. These papers are invaluable for experienced economists seeking to broaden their knowledge or young economists new to the field.

Twelfth World Congress

Advances in Economics and Econometrics: Volume 2

International Series in Operations Research & Management Science

This textbook provides a practical, business-focused introduction to regression analysis using Python. It equips readers with the intuition, coding skills, and statistical tools needed to transform raw data into actionable insights. In today’s data-driven economy, where organizations rely on analytics for pricing, marketing, employee retention, and financial forecasting, regression remains a cornerstone method.
The text bridges theory and application by combining clear explanations, step-by-step coding, and real-world business case studies. A distinguishing feature is the introduction of the Ravix package, a regression modeling and visualization framework developed to streamline regression workflows in Python. Ravix simplifies model building, produces clear and interpretable output, and integrates seamlessly with core scientific Python libraries such as NumPy, Pandas, Statsmodels, and Scikit-learn. By reducing coding complexity and emphasizing interpretation, Ravix makes modern regression techniques accessible to students, analysts, and professionals.

A Practical Guide Using Ravix with Case Studies

Applied Linear Regression for Business Analytics with Python

"Every five years, the World Congress of the Econometric Society brings together scholars from around the world. Leading scholars present state-of-the-art overviews of their areas of research, offering newcomers access to key research in economics. Advances in Economics and Econometrics: Twelfth World Congress consist of papers and commentaries presented at the Twelfth World Congress of the Econometric Society. This two-volume set includes surveys and interpretations of key developments in economics and econometrics, and discussion of future directions for a variety of topics, covering both theory and application. The first volume addresses such topics as contract theory, industrial organization, health and human capital, as well as racial justice, while the second volume includes theoretical and applied papers on climate change, time series econometrics, and causal inference. These papers are invaluable for experienced economists seeking to broaden their knowledge or young economists new to the field"-- Provided by publisher.

Advances in Economics and Econometrics: Volume 1

Contributions to Economics

Inference, Computation, and Forecasting

Contemporary Extreme Value Methods

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.

Mathematical Optimization and Economic Analysis

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