COMPARING TIME-VARYING AUTOREGRESSIVE STRUCTURES OF LOCALLY STATIONARY PROCESSES
DOI10.1142/S0219691308002185zbMath1135.62074OpenAlexW2048263156MaRDI QIDQ5386721
Clélia M. C. Toloi, Gladys E. Salcedo, Pedro Alberto Morettin, João Ricardo Sato
Publication date: 14 May 2008
Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0219691308002185
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Stationary stochastic processes (60G10) Economic time series analysis (91B84) Non-Markovian processes: hypothesis testing (62M07)
Related Items (3)
Cites Work
- Unnamed Item
- A periodogram-based metric for time series classification
- Wavelets on the interval and fast wavelet transforms
- Time-frequency clustering and discriminant analysis.
- Clusters of time series
- Comparison of non-stationary time series in the frequency domain
- Discriminant analysis for locally stationary processes
- On the Kullback-Leibler information divergence of locally stationary processes
- Nonlinear wavelet estimation of time-varying autoregressive processes
- A DISTANCE MEASURE FOR CLASSIFYING ARIMA MODELS
- Large-sample tests of homogeneity for time series models
- TESTS FOR COMPARING TWO ESTIMATED SPECTRAL DENSITIES
- Ten Lectures on Wavelets
- A Nonparametric Test for the Parallelism of Two First-Order Autoregressive Processes
- A significance test for classifying arma models
- Nonparametric Comparison of Cumulative Periodograms
- USING WAVELETS TO COMPARE TIME SERIES PATTERNS
- Discrimination and Classification of Nonstationary Time Series Using the SLEX Model
This page was built for publication: COMPARING TIME-VARYING AUTOREGRESSIVE STRUCTURES OF LOCALLY STATIONARY PROCESSES