Hybrid Learning Theory and Practice PDF Simon K.S. Cheung, Joseph Fong, Jiping Zhang, “Hybrid Learning Theory and Practice” English | 2014 | ISBN: 3319089609 | PDF | pages: 356 | 18.6 mb This book constitutes the refereed proceedings of the 7th International Conference on Hybrid Learning, ICHL 2014, held in Shanghai, China, in August 2014.… Continue reading Hybrid Learning Theory and Practice
Tag: theory
Selected Chapters of Geometry, Analysis and Number Theory: Classical Topics in New Perspectives
Selected Chapters of Geometry, Analysis and Number Theory: Classical Topics in New Perspectives PDF This book focuses on some important classical parts of Geometry, Analysis and Number theory. The material is divided into ten chapters, including new advances on triangle or tetrahedral inequalities; special sequences and series of real numbers; various algebraic or analytic inequalities… Continue reading Selected Chapters of Geometry, Analysis and Number Theory: Classical Topics in New Perspectives
Big Data and Learning Analytics in Higher Education: Current Theory and Practice
Big Data and Learning Analytics in Higher Education: Current Theory and Practice This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies… Continue reading Big Data and Learning Analytics in Higher Education: Current Theory and Practice
Financial Risk Management with Bayesian Estimation of GARCH Models: Theory and Applications
Financial Risk Management with Bayesian Estimation of GARCH Models: Theory and Applications This book presents in detail methodologies for the Bayesian estimation of sing- regime and regime-switching GARCH models. These models are widespread and essential tools in n ancial econometrics and have, until recently, mainly been estimated using the classical Maximum Likelihood technique. As this… Continue reading Financial Risk Management with Bayesian Estimation of GARCH Models: Theory and Applications