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Computational Methods in Statistics and Econometrics

Computational Methods in Statistics and Econometrics
Author: Hisashi Tanizaki
Publisher: CRC Press
Total Pages: 534
Release: 2004-01-21
Genre: Mathematics
ISBN: 0824750888

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Reflecting current technological capacities and analytical trends, Computational Methods in Statistics and Econometrics showcases Monte Carlo and nonparametric statistical methods for models, simulations, analyses, and interpretations of statistical and econometric data. The author explores applications of Monte Carlo methods in Bayesian estimation, state space modeling, and bias correction of ordinary least squares in autoregressive models. The book offers straightforward explanations of mathematical concepts, hundreds of figures and tables, and a range of empirical examples. A CD-ROM packaged with the book contains all of the source codes used in the text.


Computational Methods for Data Analysis

Computational Methods for Data Analysis
Author: Yeliz Karaca
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 512
Release: 2018-12-17
Genre: Mathematics
ISBN: 3110493608

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This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are then used for the processing of real-life data using Matlab.


Statistics and Econometrics

Statistics and Econometrics
Author: Orley Ashenfelter
Publisher:
Total Pages: 328
Release: 2003
Genre: Business & Economics
ISBN:

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Every major econometric method is illustrated by a persuasive, real life example applied to real data. * Explores subjects such as sample design, which are critical to practical application econometrics.


Computational Techniques for Econometrics and Economic Analysis

Computational Techniques for Econometrics and Economic Analysis
Author: D.A. Belsley
Publisher: Springer Science & Business Media
Total Pages: 237
Release: 2013-04-17
Genre: Business & Economics
ISBN: 9401583722

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It is unlikely that any frontier of economics/econometrics is being pushed faster, further than that of computational techniques. The computer has become a tool for performing as well as an environment in which to perform economics and econometrics, taking over where theory bogs down, allowing at least approximate answers to questions that defy closed mathematical or analytical solutions. Tasks may now be attempted that were hitherto beyond human potential, and all the forces available can now be marshalled efficiently, leading to the achievement of desired goals. Computational Techniques for Econometrics and Economic Analysis is a collection of recent studies which exemplify all these elements, demonstrating the power that the computer brings to the economic analysts. The book is divided into four parts: 1 -- the computer and econometric methods; 2 -- the computer and economic analysis; 3 -- computational techniques for econometrics; and 4 -- the computer and econometric studies.


Computer-Aided Introduction to Econometrics

Computer-Aided Introduction to Econometrics
Author: Juan Rodriguez Poo
Publisher: Springer Science & Business Media
Total Pages: 346
Release: 2012-12-06
Genre: Business & Economics
ISBN: 3642556868

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The advent of low cost computation has made many previously intractable econometric models empirically feasible and computational methods are now realized as an integral part of the theory. This book provides graduate students and researchers not only with a sound theoretical introduction to the topic, but allows the reader through an internet based interactive computing method to learn from theory to practice the different techniques discussed in the book. Among the theoretical issues presented are linear regression analysis, univariate time series modelling with some interesting extensions such as ARCH models and dimensionality reduction techniques. The electronic version of the book including all computational possibilites can be viewed at http://www.xplore-stat.de/ebooks/ebooks.html


Applications in Statistical Computing

Applications in Statistical Computing
Author: Nadja Bauer
Publisher: Springer Nature
Total Pages: 336
Release: 2019-10-12
Genre: Computers
ISBN: 3030251470

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This volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of research including the design of experiments, computational statistics, music data analysis, statistical process control, biometrics, industrial engineering, and econometrics. Gathering innovative, high-quality and scientifically relevant contributions, the volume was published in honor of Claus Weihs, Professor of Computational Statistics at TU Dortmund University, on the occasion of his 66th birthday.


Advances in Contemporary Statistics and Econometrics

Advances in Contemporary Statistics and Econometrics
Author: Abdelaati Daouia
Publisher: Springer Nature
Total Pages: 713
Release: 2021-06-14
Genre: Mathematics
ISBN: 3030732495

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This book presents a unique collection of contributions on modern topics in statistics and econometrics, written by leading experts in the respective disciplines and their intersections. It addresses nonparametric statistics and econometrics, quantiles and expectiles, and advanced methods for complex data, including spatial and compositional data, as well as tools for empirical studies in economics and the social sciences. The book was written in honor of Christine Thomas-Agnan on the occasion of her 65th birthday. Given its scope, it will appeal to researchers and PhD students in statistics and econometrics alike who are interested in the latest developments in their field.


Handbook of Computational Statistics

Handbook of Computational Statistics
Author: James E. Gentle
Publisher: Springer
Total Pages: 0
Release: 2017-05-04
Genre: Computers
ISBN: 9783662517659

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The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.


Numerical Analysis for Statisticians

Numerical Analysis for Statisticians
Author: Kenneth Lange
Publisher: Springer Science & Business Media
Total Pages: 606
Release: 2010-05-17
Genre: Business & Economics
ISBN: 1441959459

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Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on the principles of numerical analysis and is intended to equip those readers who use statistics to craft their own software and to understand the advantages and disadvantages of different numerical methods.


Computational Economic Systems

Computational Economic Systems
Author: Manfred Gilli
Publisher: Springer Science & Business Media
Total Pages: 284
Release: 2013-03-09
Genre: Political Science
ISBN: 9401587434

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The approach to many problems in economic analysis has changed drastically with the development and dissemination of new and more efficient computational techniques. Computational Economic Systems: Models, Methods & Econometrics presents a selection of papers illustrating the use of new computational methods and computing techniques to solve economic problems. Part I of the volume consists of papers which focus on modelling economic systems, presenting computational methods to investigate the evolution of behavior of economic agents, techniques to solve complex inventory models on a parallel computer and an original approach for the construction and solution of multicriteria models involving logical conditions. Contributions to Part II concern new computational approaches to economic problems. We find an application of wavelets to outlier detection. New estimation algorithms are presented, one concerning seemingly related regression models, a second one on nonlinear rational expectation models and a third one dealing with switching GARCH estimation. Three contributions contain original approaches for the solution of nonlinear rational expectation models.