Generalised cepstral models for the spectrum of vector time series
DOI10.1214/19-EJS1672zbMath1444.62099OpenAlexW3003831203MaRDI QIDQ2293719
Publication date: 5 February 2020
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ejs/1580202032
spectral estimationWhittle likelihoodspectral density matrixBox-Cox linkgeneralised spectrum modelsstationary vector stochastic processesWold coefficients
Applications of statistics to economics (62P20) Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Inference from stochastic processes and spectral analysis (62M15)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Computational geometry of positive definiteness
- Ecological prediction with nonlinear multivariate time-frequency functional data models
- The spectral representation of Markov switching ARMA models
- Parameter estimation and hypothesis testing in spectral analysis of stationary time series. Transl. from the Russian by Samuel Kotz
- Time series: theory and methods
- The generalised autocovariance function
- Asymptotic theory of cepstral random fields
- Spectral density of Markov-switching VARMA models
- Verification of positive definiteness
- The Cepstral Model for Multivariate Time Series: The Vector Exponential Model
- Modeling Complex Phenotypes: Generalized Linear Models Using Spectrogram Predictors of Animal Communication Signals
- The Matrix-Logarithmic Covariance Model
- Exact factorization of the spectral density ann its application to wrf,castiilg and time series analysis
- INVERSE AUTOCOVARIANCES AND A MEASURE OF LINEAR DETERMINISM FOR A STATIONARY PROCESS
- Coefficient Identities for Powers of Taylor and Dirichlet Series
- The Inverse Autocorrelations of a Time Series and Their Applications
- Spectral representation and autocovariance structure of Markov switching DSGE models
- Generalised Linear Cepstral Models for the Spectrum of a Time Series
- An approach for identifying and predicting economic recessions in real‐time using time–frequency functional models
- An exponential model for the spectrum of a scalar time series
This page was built for publication: Generalised cepstral models for the spectrum of vector time series