Macroeconomic Forecasting in the Era of Big Data

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Publisher : Springer Nature
ISBN 13 : 3030311503
Total Pages : 716 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Macroeconomic Forecasting in the Era of Big Data by : Peter Fuleky

Download or read book Macroeconomic Forecasting in the Era of Big Data written by Peter Fuleky and published by Springer Nature. This book was released on 2019-11-28 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency data; and how to evaluate forecasts, among others. Each chapter is self-contained with references, and provides solid background information, while also reviewing the latest advances in the field. Accordingly, the book offers a valuable resource for researchers, professional forecasters, and students of quantitative economics.

Dynamic Factor Models

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Author :
Publisher : Emerald Group Publishing
ISBN 13 : 1785603523
Total Pages : 685 pages
Book Rating : 4.7/5 (856 download)

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Book Synopsis Dynamic Factor Models by : Siem Jan Koopman

Download or read book Dynamic Factor Models written by Siem Jan Koopman and published by Emerald Group Publishing. This book was released on 2016-01-08 with total page 685 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explores dynamic factor model specification, asymptotic and finite-sample behavior of parameter estimators, identification, frequentist and Bayesian estimation of the corresponding state space models, and applications.

Big Data

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Publisher : International Monetary Fund
ISBN 13 : 1484318978
Total Pages : 41 pages
Book Rating : 4.4/5 (843 download)

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Book Synopsis Big Data by : Cornelia Hammer

Download or read book Big Data written by Cornelia Hammer and published by International Monetary Fund. This book was released on 2017-09-13 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data are part of a paradigm shift that is significantly transforming statistical agencies, processes, and data analysis. While administrative and satellite data are already well established, the statistical community is now experimenting with structured and unstructured human-sourced, process-mediated, and machine-generated big data. The proposed SDN sets out a typology of big data for statistics and highlights that opportunities to exploit big data for official statistics will vary across countries and statistical domains. To illustrate the former, examples from a diverse set of countries are presented. To provide a balanced assessment on big data, the proposed SDN also discusses the key challenges that come with proprietary data from the private sector with regard to accessibility, representativeness, and sustainability. It concludes by discussing the implications for the statistical community going forward.

Mining Data for Financial Applications

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Publisher : Springer Nature
ISBN 13 : 3030669815
Total Pages : 161 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Mining Data for Financial Applications by : Valerio Bitetta

Download or read book Mining Data for Financial Applications written by Valerio Bitetta and published by Springer Nature. This book was released on 2021-01-14 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the 5th Workshop on Mining Data for Financial Applications, MIDAS 2020, held in conjunction with ECML PKDD 2020, in Ghent, Belgium, in September 2020.* The 8 full and 3 short papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with challenges, potentialities, and applications of leveraging data-mining tasks regarding problems in the financial domain. *The workshop was held virtually due to the COVID-19 pandemic. “Information Extraction from the GDELT Database to Analyse EU Sovereign Bond Markets” and “Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Machine Learning, Optimization, and Data Science

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Publisher : Springer Nature
ISBN 13 : 3030954706
Total Pages : 571 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Machine Learning, Optimization, and Data Science by : Giuseppe Nicosia

Download or read book Machine Learning, Optimization, and Data Science written by Giuseppe Nicosia and published by Springer Nature. This book was released on 2022-02-01 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, LNCS 13163-13164, constitutes the refereed proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, together with the first edition of the Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021. The total of 86 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 215 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.​

Big Data

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Publisher :
ISBN 13 :
Total Pages : 156 pages
Book Rating : 4.:/5 (728 download)

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Book Synopsis Big Data by :

Download or read book Big Data written by and published by . This book was released on 2011 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

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Author :
Publisher : Springer Nature
ISBN 13 : 9464630302
Total Pages : 1730 pages
Book Rating : 4.4/5 (646 download)

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Book Synopsis Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) by : Daowen Qiu

Download or read book Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) written by Daowen Qiu and published by Springer Nature. This book was released on 2022-12-28 with total page 1730 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. These endeavors have made new contribution to globalization and creating a community of shared future. With the rapid development of modern economic society, in the process of economic management, informatization has become the mainstream of economic development in the future. At the same time, with the emergence of advanced management technologies such as blockchain technology and big data technology, real market information can be quickly obtained in the process of economic management, which greatly reduces the operating costs of the market economy and effectively enhances the management level of operators, thus contributing to the sustained, rapid and healthy development of the market economy. Under the new situation, the innovative application of economic management research is of great practical significance. 2022 International Conference on Bigdata, Blockchain and Economic Management (ICBBEM 2022) will be held on March 25–27, 2022 in Wuhan, China. ICBBEM 2022 will focus on the latest fields of Bigdata, Blockchain and Economic Management to provide an international platform for experts, professors, scholars and engineers from universities, scientific institutes, enterprises and government-affiliated institutions at home and abroad to share experiences, to expand professional fields, to exchange new ideas face to face, to present research results, and to discuss the key challenging issues and research directions facing the development of this field, with a view to promoting the development and application of theories and technologies in universities and enterprises.

Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1

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Publisher : Springer Nature
ISBN 13 : 3030899063
Total Pages : 1020 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1 by : Kohei Arai

Download or read book Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1 written by Kohei Arai and published by Springer Nature. This book was released on 2021-10-23 with total page 1020 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a wide range of important topics including but not limited to Technology Trends, Computing, Artificial Intelligence, Machine Vision, Communication, Security, e-Learning, and Ambient Intelligence and their applications to the real world. The sixth Future Technologies Conference 2021 was organized virtually and received a total of 531 submissions from academic pioneering researchers, scientists, industrial engineers, and students from all over the world.. After a double-blind peer review process, 191 submissions have been selected to be included in these proceedings. One of the meaningful and valuable dimensions of this conference is the way it brings together a large group of technology geniuses in one venue to not only present breakthrough research in future technologies, but also to promote discussions and debate of relevant issues, challenges, opportunities and research findings. We hope that readers find the book interesting, exciting, and inspiring; it provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research.

Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer Nature
ISBN 13 : 3030676641
Total Pages : 783 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Frank Hutter

Download or read book Machine Learning and Knowledge Discovery in Databases written by Frank Hutter and published by Springer Nature. This book was released on 2021-02-24 with total page 783 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning. Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.

Artificial Intelligence in Forecasting

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Author :
Publisher : CRC Press
ISBN 13 : 1040051502
Total Pages : 365 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence in Forecasting by : Sachi Mohanty

Download or read book Artificial Intelligence in Forecasting written by Sachi Mohanty and published by CRC Press. This book was released on 2024-07-19 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting deals with the uncertainty of the future. To be effective, forecasting models should be timely available, accurate, reliable, and compatible with existing database. Accurate projection of the future is of vital importance in supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earthquake prediction, etc. AI powered tools and techniques of forecasting play a major role in improving the projection accuracy. The software running AI forecasting models use machine learning to improve accuracy. The software can analyse the past data and can make better prediction about the future trends with higher accuracy and confidence that favours for making proper future planning and decision. In other words, accurate forecasting requires more than just the matching of models to historical data. The book covers the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. Readers will also be familiarised with the necessary skills to meet the increased demand for thoughtful and realistic forecasts.

Solar Irradiance and Photovoltaic Power Forecasting

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Author :
Publisher : CRC Press
ISBN 13 : 1003830919
Total Pages : 910 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Solar Irradiance and Photovoltaic Power Forecasting by : Dazhi Yang

Download or read book Solar Irradiance and Photovoltaic Power Forecasting written by Dazhi Yang and published by CRC Press. This book was released on 2024-02-05 with total page 910 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting plays an indispensable role in grid integration of solar energy, which is an important pathway toward the grand goal of achieving planetary carbon neutrality. This rather specialized field of solar forecasting constitutes both irradiance and photovoltaic power forecasting. Its dependence on atmospheric sciences and implications for power system operations and planning make the multi-disciplinary nature of solar forecasting immediately obvious. Advances in solar forecasting represent a quiet revolution, as the landscape of solar forecasting research and practice has dramatically advanced as compared to just a decade ago. Solar Irradiance and Photovoltaic Power Forecasting provides the reader with a holistic view of all major aspects of solar forecasting: the philosophy, statistical preliminaries, data and software, base forecasting methods, post-processing techniques, forecast verification tools, irradiance-to-power conversion sequences, and the hierarchical and firm forecasting framework. The book’s scope and subject matter are designed to help anyone entering the field or wishing to stay current in understanding solar forecasting theory and applications. The text provides concrete and honest advice, methodological details and algorithms, and broader perspectives for solar forecasting. Both authors are internationally recognized experts in the field, with notable accomplishments in both academia and industry. Each author has many years of experience serving as editors of top journals in solar energy meteorology. The authors, as forecasters, are concerned not merely with delivering the technical specifics through this book, but more so with the hopes of steering future solar forecasting research in a direction that can truly expand the boundary of forecasting science.

Engineering Applications of Neural Networks

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Publisher : Springer Nature
ISBN 13 : 3031342046
Total Pages : 636 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Engineering Applications of Neural Networks by : Lazaros Iliadis

Download or read book Engineering Applications of Neural Networks written by Lazaros Iliadis and published by Springer Nature. This book was released on 2023-06-06 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 24th International Conference on Engineering Applications of Neural Networks, EANN 2023, held in León, Spain, in June 2023. The 41 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on ​artificial intelligence - computational methods - ethology; classification - filtering - genetic algorithms; complex dynamic networks' optimization/ graph neural networks; convolutional neural networks/spiking neural networks; deep learning modeling; deep/machine learning in engineering; LEARNING (reinforcemet - federated - adversarial - transfer); natural language - recommendation systems.

Research Anthology on Macroeconomics and the Achievement of Global Stability

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Author :
Publisher : IGI Global
ISBN 13 : 1668474611
Total Pages : 1953 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Research Anthology on Macroeconomics and the Achievement of Global Stability by : Management Association, Information Resources

Download or read book Research Anthology on Macroeconomics and the Achievement of Global Stability written by Management Association, Information Resources and published by IGI Global. This book was released on 2022-08-05 with total page 1953 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 pandemic has shocked economies around the world and created an era of global instability. As the pandemic comes to a close, it is essential to examine global economies in order to achieve and maintain global stability. By maintaining global stability, the world may be prepared for future economic shocks. The Research Anthology on Macroeconomics and the Achievement of Global Stability discusses the emerging opportunities, challenges, and strategies within the field of macroeconomics. It features advancements in the field that encourage global economic stability. Covering topics such as Islamic banking, international trade, and Econophysics, this major reference work is an ideal resource for economists, government leaders and officials, business leaders and executives, finance professionals, students and educators of higher education, librarians, researchers, and academicians.

Data Science for Economics and Finance

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Author :
Publisher : Springer Nature
ISBN 13 : 3030668916
Total Pages : 357 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Data Science for Economics and Finance by : Sergio Consoli

Download or read book Data Science for Economics and Finance written by Sergio Consoli and published by Springer Nature. This book was released on 2021 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.

Alternative Economic Indicators

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Publisher : W.E. Upjohn Institute
ISBN 13 : 0880996765
Total Pages : 133 pages
Book Rating : 4.8/5 (89 download)

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Book Synopsis Alternative Economic Indicators by : C. James Hueng

Download or read book Alternative Economic Indicators written by C. James Hueng and published by W.E. Upjohn Institute. This book was released on 2020-09-08 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Policymakers and business practitioners are eager to gain access to reliable information on the state of the economy for timely decision making. More so now than ever. Traditional economic indicators have been criticized for delayed reporting, out-of-date methodology, and neglecting some aspects of the economy. Recent advances in economic theory, econometrics, and information technology have fueled research in building broader, more accurate, and higher-frequency economic indicators. This volume contains contributions from a group of prominent economists who address alternative economic indicators, including indicators in the financial market, indicators for business cycles, and indicators of economic uncertainty.

Artificial Intelligence and the City

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Author :
Publisher : Taylor & Francis
ISBN 13 : 100381042X
Total Pages : 401 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence and the City by : Federico Cugurullo

Download or read book Artificial Intelligence and the City written by Federico Cugurullo and published by Taylor & Francis. This book was released on 2023-12-01 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores in theory and practice how artificial intelligence (AI) intersects with and alters the city. Drawing upon a range of urban disciplines and case studies, the chapters reveal the multitude of repercussions that AI is having on urban society, urban infrastructure, urban governance, urban planning and urban sustainability. Contributors also examine how the city, far from being a passive recipient of new technologies, is influencing and reframing AI through subtle processes of co-constitution. The book advances three main contributions and arguments: First, it provides empirical evidence of the emergence of a post-smart trajectory for cities in which new material and decision-making capabilities are being assembled through multiple AIs. Second, it stresses the importance of understanding the mutually constitutive relations between the new experiences enabled by AI technology and the urban context. Third, it engages with the concepts required to clarify the opaque relations that exist between AI and the city, as well as how to make sense of these relations from a theoretical perspective. Artificial Intelligence and the City offers a state-of-the-art analysis and review of AI urbanism, from its roots to its global emergence. It cuts across several disciplines and will be a useful resource for undergraduates and postgraduates in the fields of urban studies, urban planning, geography, architecture, urban design, science and technology studies, sociology and politics.

An Alternative Proof of Minimum Trace Reconciliation

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Author :
Publisher : International Monetary Fund
ISBN 13 :
Total Pages : 12 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis An Alternative Proof of Minimum Trace Reconciliation by : Mr. Sakai Ando

Download or read book An Alternative Proof of Minimum Trace Reconciliation written by Mr. Sakai Ando and published by International Monetary Fund. This book was released on 2022-07-08 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Minimum trace reconciliation, developed by Wickramasuriya et. al. (2019), is an innovation in the literature of forecast reconciliation. The proof, however, is indirect and not easy to extend to more general situations. This paper provides an alternative proof based on the first-order condition in the space of non-square matrix and argues that it is not only simpler but also can be extended to incorporate more general results on minimum weighted trace reconciliation in Panagiotelis et. al. (2021). Thus, our alternative proof not only has pedagogical value but also connects the results in the literature from a unified perspective.