Time series analysis involves identifying attributes of your time series data, such as trend and seasonality, by measuring statistical properties. From stock market analysis to economic forecasting, ...

Spectral analysis is one of the most important tools of atmospheric physics. Patterns can be extracted from measurement series with the help of spectral analysis and used as a complement to their ...

This is a preview. Log in through your library . Abstract La définition du spectre d'une chronique dépend de la nature déterministe ou stochastique du processus considéré, et, dans ce dernier cas, du ...

This is a preview. Log in through your library . Abstract In this paper, we investigate some information properties of parameter estimation in spectral analysis of stationary time series based on a ...

Bayesian analysis offers a robust framework for deciphering the intricate dynamics of time series data. By treating unknown parameters as random variables, this approach incorporates prior information ...