Analysing Italian voluntary abortion data using a Bayesian approach to the time series decomposition

2003 ◽  
Vol 23 (1) ◽  
pp. 105-123 ◽  
Author(s):  
Paolo Magni ◽  
Riccardo Bellazzi
Keyword(s):  
Time Series ◽  
Bayesian Approach ◽  
Time Series Decomposition

scholarly journals Business Days Time Series Weekly Trend and Seasonality

2021 ◽  
Vol 5 (1) ◽  
pp. 26
Author(s):  
Karlis Gutans
Keyword(s):  
Time Series ◽  
Global Warming ◽  
Exchange Rates ◽  
Temperature Data ◽  
Adjustment Method ◽  
Currency Exchange ◽  
Currency Exchange Rates ◽  
Time Series Decomposition ◽  
The World

The world changes at incredible speed. Global warming and enormous money printing are two examples, which do not affect every one of us equally. “Where and when to spend the vacation?”; “In what currency to store the money?” are just a few questions that might get asked more frequently. Knowledge gained from freely available temperature data and currency exchange rates can provide better advice. Classical time series decomposition discovers trend and seasonality patterns in data. I propose to visualize trend and seasonality data in one chart. Furthermore, I developed a calendar adjustment method to obtain weekly trend and seasonality data and display them in the chart.

A seasonal and heteroscedastic gamma model for hydrological time series: A Bayesian approach

2012 ◽  
Author(s):  
Edilberto Cepeda Cuervo ◽  
Marinho G. Andrade ◽  
Jorge Alberto Achcar
Keyword(s):  
Time Series ◽  
Bayesian Approach ◽  
Gamma Model

scholarly journals Trends and cycles in economic time series: A Bayesian approach

2007 ◽  
Vol 140 (2) ◽  
pp. 618-649 ◽  
Author(s):  
Andrew C. Harvey ◽  
Thomas M. Trimbur ◽  
Herman K. Van Dijk
Keyword(s):  
Time Series ◽  
Bayesian Approach ◽  
Economic Time Series ◽  
Economic Time
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