Bayesian unit root testing

Postgraduate Thesis uoadl:2962526 195 Read counter

Unit:
Κατεύθυνση Στατιστική και Επιχειρησιακή Έρευνα
Library of the School of Science
Deposit date:
2021-10-13
Year:
2021
Author:
Georgopoulou Vasiliki
Supervisors info:
Μελιγκοτσίδου Λουκία, Αναπληρώτρια καθηγήτρια, Τμήμα Μαθηματικών, ΕΚΠΑ
Μπουρνέτας Απόστολος, Καθηγητής, Τμήμα Μαθηματικών, ΕΚΠΑ
Σιάννης Φώτιος, Επίκουρος καθηγητής, Τμήμα Μαθηματικών, ΕΚΠΑ
Original Title:
Bayesian unit root testing
Languages:
English
Translated title:
Bayesian unit root testing
Summary:
The current dissertation analyzes the Bayesian unit root tests in autoregressive processes
as an alternate to the classical autoregressive unit root tests. The Bayesian approach
to unit root testing was mainly motivated by the power and size distortions
of the classical tests under the Dickey-Fuller distribution. Initially, basic principles
and theory concerning time series and Bayesian analysis are introduced which are
then followed by the structure of the classical autoregressive tests and the Dickey-
Fuller distribution. The subsequent chapter is devoted to the methods applied in
the Bayesian unit root testing. Simulation results and conclusions based on two
Bayesian methods are finally reported.
Main subject category:
Science
Keywords:
unit root testing, stationarity, autoregressive models, bayesian methods
Index:
No
Number of index pages:
0
Contains images:
Yes
Number of references:
29
Number of pages:
90
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