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About Syllabus May2015 Exam
This document outlines the course contents for Time Series Analysis of Economic-Financial Data taught at Bocconi University in the 2014-2015 academic year. The course covers both classical and probabilistic time series analysis techniques. It introduces descriptive techniques like decomposition and exponential smoothing. It also covers probabilistic models including stationary and non-stationary processes, autoregressive, moving average, and state-space models. State-space models like dynamic linear models are estimated using the Kalman filter and predictions made via filtering and smoothing. Assignments include data analysis projects and the final exam consists of theoretical questions and questions on implementing time series analysis in R.
Detailed Information
| Author: | ['GiovanniErario'] |
|---|---|
| Publication Year: | 2015 |
| Pages: | 4 |
| Language: | English |
| Format: | |
| Price: | FREE |
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