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  • 1
    Online Resource
    Online Resource
    Prediction and Causality in Econometrics and Related Topics (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030770945
    Language: English
    Pages: 1 Online-Ressource(XI, 682 p. 176 illus., 129 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Computational Intelligence 983
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence.
    Abstract: Prediction intervals for the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) via the LUBE method -- Analysis and Modeling of Information Security Information Security Systems in Industry 4.0 -- Using Non-linear Integral Models in Automatic Control and Measurement Systems for Sensors’ Input Signals’ Recovery -- Neural Network Method and Algorithm for Document Detection Based on Signaling Analysis -- Using fuzzy probabilistic implication in Z-set based inference -- Accounting experience between fuzzy integral and Z-numbers -- The Impact of In-Store Environment on Purchase Intention in Supermarkets -- A recurrent method for structural-parametric identification of fuzzy neural networks -- Voltage Control System for Electrical Networks Based on Fuzzy Sets -- Algorithms for the Synthesis of Optimal Linear-Quadratic Stationary Controllers.
    Abstract: This book provides the ultimate goal of economic studies to predict how the economy develops—and what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniques—including quantum ideas -- to make predictions about the world economy (international trade, exchange rates), about a country's economy (gross domestic product, stock index, inflation rate), and about individual enterprises, banks, and micro-finance institutions: their future performance (including the risk of bankruptcy), their stock prices, and their liquidity. Several papers study how COVID-19 has influenced the world economy. This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.
    DOI: 10.1007/978-3-030-77094-5
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030986896
    Language: English
    Pages: 1 Online-Ressource(XI, 878 p. 117 illus., 100 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Systems, Decision and Control 427
    Parallel Title: Erscheint auch als Financial econometrics: bayesian analysis, quantum uncertainty, and related topics
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Econometrics. ; Data Science ; Wirtschaftswissenschaften ; Ökonometrie
    Abstract: Correcting Interval-Valued Expert Estimates: Empirical Formulas Explained -- On the Skill of Influential Predictions -- How to Find the Dependence Based on Measurements with Unknown Accuracy:Towards a Theoretical Justification for Midpoint and Convex-Combination Interval Techniques and Their Generalizations -- An Alternative Extragradient Method for a Vector Quasi-Equilibrium Problem to a Vector Generalized Nash Equilibrium Problem -- Introduction to Rare-Event Predictive Modeling for Inferential Statisticians--A Hands-On Application in the Prediction of Breakthrough Patents -- Logical aspects of quantum structures.
    Abstract: This book overviews latest ideas and developments in financial econometrics, with an emphasis on how to best use prior knowledge (e.g., Bayesian way) and how to best use successful data processing techniques from other application areas (e.g., from quantum physics). The book also covers applications to economy-related phenomena ranging from traditionally analyzed phenomena such as manufacturing, food industry, and taxes, to newer-to-analyze phenomena such as cryptocurrencies, influencer marketing, COVID-19 pandemic, financial fraud detection, corruption, and shadow economy. This book will inspire practitioners to learn how to apply state-of-the-art Bayesian, quantum, and related techniques to economic and financial problems and inspire researchers to further improve the existing techniques and come up with new techniques for studying economic and financial phenomena. The book will also be of interest to students interested in latest ideas and results.
    DOI: 10.1007/978-3-030-98689-6
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    BSZ
    MPI Ethno. Forsch.
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