00856nam a2200157   450000500170000000800410001702000180005803700120007604000130008808400080010110000190010924500420012826000480017030000640021852004160028220260203110359.0260203b        |||||||| |||| 00| 0 eng d  a9781009396264  cTextual  aRTLcRTL  qRTL  aLinton, Oliver  aTime series for economics and finance  aNew YorkbCambridge University Press c2025  axxii, 430 p. bIncludes bibliographical reference and index  aFocusing on methods for data that are ordered in time, this textbook provides a comprehensive guide to analyzing time series data using modern techniques from data science. It is specifically tailored to economics and finance applications, aiming to provide students with rigorous training. Chapters cover Bayesian approaches, nonparametric smoothing methods, machine learning, and continuous time econometrics.