Explaining Currency Crises: A Statistical Machine Learning Approach Год выпуска: 2010Автор: Ismael Arciniegas RuedaИздательство: LAP Lambert Academic PublishingСтраниц: 472ISBN: 9783838342566Описание The motivation of this book is to gain new understanding of currency crises'' aftermaths by systematically studying the different financial and socio-economic variables that determine currency crises'' effects on economic output. This book uses statistical machine learning algorithms such as neural networks and support vector machines to rank the most important variables in explaining currency crises aftermaths. The book also compares the machine learning results with the ones obtained from more traditional econometric methods.
Похожие книги
Laszlo Gyorfi. Machine Learning for Financial Engineering (Advances in Computer Science and Engineering: Texts). – М.: , 2012. – 250 с. Richard A. McCormack. Lean Machines: Learning From the Leaders of the Next Industrial Revolution. – М.: , 0. – 0 с. Colin D. Lewis. Demand Forecasting and Inventory Control : A Computer Aided Learning Approach (Oliver Wight Manufacturing). – М.: , 0. – 0 с. Andre Fourcans. Currency Crises: A Theoretical and Empirical Perspective (New Horizons in Money and Finance.). – М.: , 2004. – 0 с. Diann Wilson. The Other Blended Learning : A Classroom-Centered Approach. – М.: , 2005. – 0 с. Gary Koser, Dean Zirwas. Workplace Skills for Success with AutoCAD(R) 2007 - BASICS: A Layered Learning Approach. – М.: , 2006. – 352 с. Ismael Arciniegas Rueda. Explaining Currency Crises: A Statistical Machine Learning Approach: Understanding why some currency crises are followed by strong recesions but others are not. – М.: , 2010. – 472 с. S.Y. Kung, M.W. Mak, S.H. Lin. Biometric Authentication: A Machine Learning Approach (Prentice Hall Information and System Sciences Series). – М.: , 2010. – 496 с. Pierre Baldi. Bioinformatics – The Machine Learning Approach 2e (OI) (S). – М.: , 2001. – 400 с. Pierre Baldi. Bioinformatics – The Machine Learning Approach. – М.: , 1998. – 370 с. Guy Lebanon. Riemannian Geometry and Statistical Machine Learning. – М.: LAP Lambert Academic Publishing, 2015. – 140 с. Nataliia Semenenko. Diagnosis of Cross-Browser Compatibility Issues via Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 68 с. Mark Rossman. Automated Detection of Hematological Patterns Through Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 128 с. Jyotsana Pandey,Swinder Jeet Singh Kalra and Alka Dubey. AI With Bioinformatics Via The Machine Learning Approaches. – М.: LAP Lambert Academic Publishing, 2013. – 96 с. Jiri Petrzelka. Statistical Machine Translation. – М.: LAP Lambert Academic Publishing, 2011. – 84 с. Ismael Arciniegas Rueda. Explaining Currency Crises: A Statistical Machine Learning Approach. – М.: LAP Lambert Academic Publishing, 2010. – 472 с. Kevin P. Murphy. Machine Learning: A Probabilistic Perspective. – М.: The MIT Press, 2012. – 1104 с. Образцы работ
Задайте свой вопрос по вашей теме
Контакты
Поделиться
Мы в социальных сетях
Реклама
Отзывы
Артём, 02.04 Наконец то мне отдали дипломную на доработку и я спешу написать Вам. Работа мне понравилась и соответствует требованиям нашего института. Огромное Вам СПАСИБО! Огромное спасибо, дополнения отличные.
