Nonlinear Estimation and Classification

David D. Denison · Mark H. Hansen · Christopher C. Holmes · Bani Mallick · Bin Yu

2013年11月 · Lecture Notes in Statistics 第 171 冊 · Springer Science & Business Media

電子書

477

頁數

評分和評論未經驗證瞭解詳情

關於這本電子書

Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in data collection and computing technologies. As a result, fundamental statistical research is being undertaken in a variety of different fields. Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis," a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing. The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics. The proposed workshop intends to bring together eminent experts from these fields in order to exchange ideas and forge directions for the future.