Time Series Prediction: Forecasting The Future And Understanding The Past (Proceedings Volume, Santa Fe Institute Studies in the Sciences of Complexity)

Weigend, Andreas S.

ISBN 10: 036709505X / ISBN 13: 9780367095055

Edité par Routledge, 2019

A propos de cet article

1st edition NO-PA16APR2015-KAP.

N° de réf. du vendeur 26387563580

Détails bibliographiques

• Titre: Time Series Prediction: Forecasting The Future And Understanding The Past (Proceedings Volume, Santa Fe Institute Studies in the Sciences of Complexity)
• Éditeur: Routledge
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 036709505X
• ISBN à 13 chiffres: 9780367095055
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

The book is a summary of a time series forecasting competition that was held a number of years ago. It aims to provide a snapshot of the range of new techniques that are used to study time series, both as a reference for experts and as a guide for novices.

À propos de l?auteur

Neil Gershenfeld is the Director of MIT's Center for Bits and Atoms, and the former director of its famed Media Lab. The author of numerous technical publications, patents, and books, including When Things Start to Think, he has been featured in media such as the New York Times, The Economist, CNN, and PBS. He lives in Somerville, Massachusetts.