Home eBooks Download › bayesian econometric modelling for big data

Bayesian Econometric Modelling For Big Data

Download Bayesian Econometric Modelling For Big Data PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Bayesian Econometric Modelling For Big Data book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Bayesian Econometric Modelling For Big Data

DOWNLOAD
Author : Hang Qian
language : en
Publisher: CRC Press
Release Date : 2025-06-20

Bayesian Econometric Modelling For Big Data written by Hang Qian and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Mathematics categories.

This book delves into scalable Bayesian statistical methods designed to tackle the challenges posed by big data. It explores a variety of divide-and-conquer and subsampling techniques, seamlessly integrating these scalable methods into a broad spectrum of econometric models. In addition to its focus on big data, the book introduces novel concepts within traditional statistics, such as the summation, subtraction, and multiplication of conjugate distributions. These arithmetic operators conceptualize pseudo data in the conjugate prior, sufficient statistics that determine the likelihood, and the posterior as a balance between data and prior information, adding an intriguing dimension to Bayesian analysis. This book also offers a deep dive into Bayesian computation. Given the intricacies of floating-point representation of real numbers, computer programs can sometimes yield unexpected or theoretically impossible results. Drawing from his experience as a senior statistical software developer, the author shares valuable strategies for designing numerically stable algorithms. The book is an essential resource for a diverse audience: graduate students seeking foundational knowledge in Bayesian econometric models, early-career statisticians eager to explore cutting-edge advancements in scalable Bayesian methods, data analysts struggling with out-of-memory challenges in large datasets, and statistical software users and developers striving to program with efficiency and numerical stability.

Bayesian Econometric Modelling For Big Data

DOWNLOAD
Author : Hang Qian (Economist)
language : en
Publisher: CRC Press
Release Date : 2025

Bayesian Econometric Modelling For Big Data written by Hang Qian (Economist) and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Mathematics categories.

"This book delves into scalable Bayesian statistical methods designed to tackle the challenges posed by big data. It explores a variety of divide-and-conquer and subsampling techniques, seamlessly integrating these scalable methods into a broad spectrum of econometric models. In addition to its focus on big data, the book introduces novel concepts within traditional statistics, such as the summation, subtraction, and multiplication of conjugate distributions. These arithmetic operators conceptualize pseudo data in the conjugate prior, sufficient statistics that determine the likelihood, and the posterior as a balance between data and prior information, adding an intriguing dimension to Bayesian analysis. This book also offers a deep dive into Bayesian computation. Given the intricacies of floating-point representation of real numbers, computer programs can sometimes yield unexpected or theoretically impossible results. Drawing from his experience as a senior statistical software developer, the author shares valuable strategies for designing numerically stable algorithms. The book is an essential resource for a diverse audience: graduate students seeking foundational knowledge in Bayesian econometric models, early-career statisticians eager to explore cutting-edge advancements in scalable Bayesian methods, data analysts struggling with out-of-memory challenges in large datasets, and statistical software users and developers striving to program with efficiency and numerical stability"--

Bayesian Econometric Modelling For Big Data

DOWNLOAD
Author : Hang Qian (Economist)
language : en
Publisher:
Release Date : 2025

Bayesian Econometric Modelling For Big Data written by Hang Qian (Economist) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Mathematics categories.

Spatial Analysis Using Big Data

DOWNLOAD
Author : Yoshiki Yamagata
language : en
Publisher: Academic Press
Release Date : 2019-11-03

Spatial Analysis Using Big Data written by Yoshiki Yamagata and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-03 with Business & Economics categories.

Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems. The methods represent a cluster of potentially transformational socio-economic modeling tools that allow researchers to capture real-time and high-resolution information to potentially reveal new socioeconomic dynamics within urban populations. Each method, written by leading exponents of the discipline, uses real-time urban big data to solve research problems in spatial science. Urban applications of these methods are provided in unsurpassed depth, with chapters on surface temperature mapping, view value analysis, community clustering and spatial-social networks, among many others. - Reviews some of the most powerful and challenging modern methods to study big data problems in spatial science - Provides computer codes written in R, MATLAB and Python to help implement methods - Applies these methods to common problems observed in urban and regional economics

Econometrics

DOWNLOAD
Author : Samir Ganaka
language : en
Publisher: Educohack Press
Release Date : 2025-02-20

Econometrics written by Samir Ganaka and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Business & Economics categories.

"Econometrics: The Essentials" takes you on an engaging journey through the world of econometrics, designed to demystify this complex field. In a world where economic decisions shape our daily lives, understanding the interplay between economic theories and statistical methods is crucial. This book, crafted for a diverse global audience with a focus on the United States, serves as your guide through the landscape of econometrics. We present the subject in everyday language, making it accessible to both newcomers and seasoned practitioners. Econometrics is more than numbers—it's about uncovering the stories behind economic phenomena, understanding the drivers of our economies, and helping readers make sense of the complex web of data. The book emphasizes the global relevance of econometric principles while offering insights into the U.S. economic landscape. We explore the impact of fiscal policies, financial markets, and other economic intricacies. Practical concepts such as regression analyses, instrumental variables, and Two-Stage Least Squares Estimation are grounded in relatable scenarios and real-world applications. Our human-centric approach recognizes that behind every data point is a story involving individuals and communities. We illustrate how econometric techniques address pressing issues, from unemployment dynamics to the effectiveness of social programs. "Econometrics: The Essentials" equips readers with the skills to navigate econometrics, fostering a deeper understanding of the empirical realities shaping our world. Whether you're a policymaker, economist, researcher, or curious mind, this book empowers you with the knowledge and tools to unravel the mysteries of econometrics.

Handbook On Big Data Artificial Intelligence And Cities

DOWNLOAD
Author : Dani Broitman
language : en
Publisher: Edward Elgar Publishing
Release Date : 2025-04-09

Handbook On Big Data Artificial Intelligence And Cities written by Dani Broitman and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-09 with Business & Economics categories.

This pioneering Handbook outlines the ways in which big data and artificial intelligence (AI) are reshaping cities. Leading scholars analyze how innovative computational methods can make use of the vast amounts of data available to gain new insights into urban life, inform policy, and drive innovation.

Structural Changes And Their Econometric Modeling

DOWNLOAD
Author : Vladik Kreinovich
language : en
Publisher: Springer
Release Date : 2018-11-24

Structural Changes And Their Econometric Modeling written by Vladik Kreinovich and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-24 with Computers categories.

This book focuses on structural changes and economic modeling. It presents papers describing how to model structural changes, as well as those introducing improvements to the existing before-structural-changes models, making it easier to later on combine these models with techniques describing structural changes. The book also includes related theoretical developments and practical applications of the resulting techniques to economic problems. Most traditional mathematical models of economic processes describe how the corresponding quantities change with time. However, in addition to such relatively smooth numerical changes, economical phenomena often undergo more drastic structural change. Describing such structural changes is not easy, but it is vital if we want to have a more adequate description of economic phenomena – and thus, more accurate and more reliable predictions and a better understanding on how best to influence the economic situation.

Applications Of Big Data In Large And Small Scale Systems

DOWNLOAD
Author : Goundar, Sam
language : en
Publisher: IGI Global
Release Date : 2021-01-15

Applications Of Big Data In Large And Small Scale Systems written by Goundar, Sam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-15 with Computers categories.

With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.

Development Studies In Regional Science

DOWNLOAD
Author : Zhenhua Chen
language : en
Publisher: Springer Nature
Release Date : 2020-02-21

Development Studies In Regional Science written by Zhenhua Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-21 with Business & Economics categories.

This book examines major policy and planning issues in development studies from the regional science perspective. It investigates questions such as: “How are communities able to deal with uncertainties raised by conflicts, technology, and external shocks in the process of development?”; “How can nations achieve sustainable development in terms of resource allocation and management?”; and “How can developing countries improve their economic competitiveness while maintaining the objectives of equitable and coordinated growth among different regions?” using case studies that focus on different subfields, like infrastructure, environment, data science, sustainability and resilience. The book is organized in three parts. Part I clarifies fundamental issues regarding development studies and regional science in general, while Part II includes several case studies that address development-related opportunities and challenges with a focus on Asian countries. Lastly, Part III offers a global perspective and explores development experiences from countries throughout the world. Featuring contributions by leading academics and practitioners working at various organizations linked to international development, and including multidisciplinary analyses, the book appeals to students who are interested in development studies and regional science. It also offers planners and policymakers fresh insights into regional economic development.

Springer Handbook Of Engineering Statistics

DOWNLOAD
Author : Hoang Pham
language : en
Publisher: Springer Nature
Release Date : 2023-04-20

Springer Handbook Of Engineering Statistics written by Hoang Pham and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-20 with Technology & Engineering categories.

In today’s global and highly competitive environment, continuous improvement in the processes and products of any field of engineering is essential for survival. This book gathers together the full range of statistical techniques required by engineers from all fields. It will assist them to gain sensible statistical feedback on how their processes or products are functioning and to give them realistic predictions of how these could be improved. The handbook will be essential reading for all engineers and engineering-connected managers who are serious about keeping their methods and products at the cutting edge of quality and competitiveness.

Bayesian Econometric Modelling For Big Data

Recent Posts