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This book presents an in-depth guide designed for students, researchers and professionals seeking to harness the power of LaTeX, which is a high-quality typesetting tool widely used in... Læs mere
mso-bidi-language: AR-SA;">This book uses R package, iForecast, to conduct financial economic time series forecasting with machine learning methods, especially the generation of dynamic forecasts out-of-sample.
Extensions of the robust multiple regression model include Bayesian, heteroskedastic, time series and compositional regression, together with the clustering of regression models.
Das Symbolische Rechnen zur Losung mathematischer Probleme erlebt einen neuen Aufschwung durch den Einsatz speziell dafur entwikckelter Softwaresysteme. Nach dem Erfolg von... Læs mere
This volume in the NATO Special Programme on Advanced Educational Technology looks at how the computer can support the use of visual images in mathematical problem solving. The authors are from computer science, mathematics, mathematics education, psychology, and design.
Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning.
This book on statistical disclosure control presents the theory, applications and software implementation of the traditional... Læs mere
The book is divided into eight chapters: Chapter 1 provides an overview of topics on sufficiency and completeness, while Chapter 2 briefly discusses unbiased estimation. Chapter 6 discusses Bayes, while Chapter 7 studies some more powerful tests.
This book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions.
The book covers a wide range of topics, yet essential, in Computational Finance (CF), understood as a mix of Finance, Computational Statistics, and Mathematics of Finance.