- Docente: Alessandra Luati
- Credits: 6
- SSD: STAT-01/A
- Language: English
- Teaching Mode: In-person learning (entirely or partially)
- Campus: Bologna
- Corso: First cycle degree programme (L) in Statistical Sciences (cod. 6661)
Learning outcomes
By the end of the course the student should know the fundamental theory of time series analysis. In particular the student should be able: - to analyse a time series in the time and in the frequency domain - to identify the stochastic process that has generated a time series based on the autocorrelation structure - to estimate and make inference on the parameters of a linear model for a stationary time series - to estimate time series components such as trend and seasonality by means of non parametric and parametric methods - to recognise the most important models for time series data
Syllabus
The syllabus has not been published yet.
Office hours
See the website of Alessandra Luati