| 000 | 00926nam a2200181 4500 | ||
|---|---|---|---|
| 005 | 20260203110359.0 | ||
| 008 | 260203b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781009396264 | ||
| 037 | _cTextual | ||
| 040 |
_aRTL _cRTL |
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| 084 | _qRTL | ||
| 100 |
_aLinton, Oliver _91113278 |
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| 245 | _aTime series for economics and finance | ||
| 260 |
_aNew York _bCambridge University Press _c2025 |
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| 300 |
_axxii, 430 p. _bIncludes bibliographical reference and index |
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| 520 | _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. | ||
| 942 |
_2CC _n0 _cTEXL |
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| 999 |
_c1678551 _d1678551 |
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