Surveillance of the covariance matrix of multivariate nonlinear time series
From MaRDI portal
Publication:5317766
DOI10.1080/02331880500062170zbMath1070.62074OpenAlexW1963532260MaRDI QIDQ5317766
Przemysław Śliwa, Wolfgang Schmid
Publication date: 21 September 2005
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331880500062170
exponential smoothingchange detectionstatistical process controlfinancial applicationsmultivariate GARCH models
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Applications of statistics in engineering and industry; control charts (62P30) Monte Carlo methods (65C05)
Related Items
Statistical surveillance of the mean vector and the covariance matrix of nonlinear time series, Control charts for multivariate spatial autoregressive models, Spatiotemporal procedures for the statistical surveillance of spatial autoregressive models with heavy tails, Robust online-surveillance of trend-coherence in multivariate data streams: the similar trend monitoring (STM) procedure
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The multivariate normal distribution
- Time series: theory and methods.
- Analytical score for multivariate GARCH models
- Fast initial response features for EWMA control charts
- Monitoring the cross-covariances of a multivariate time series
- Generalized autoregressive conditional heteroscedasticity
- Multivariate Generalizations of Cumulative Sum Quality-Control Schemes
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- A class of invariant consistent tests for multivariate normality
- A Multivariate Exponentially Weighted Moving Average Control Chart
- Multivariate Stochastic Variance Models
- SEQUENTIAL METHODS FOR DETECTING CHANGES IN THE VARIANCE OF ECONOMIC TIME SERIES
- Ewma charts for multivariate time series
- Algorithm 755: ADOL-C
- EWMA Charts for Monitoring the Mean and the Autocovariances of Stationary Gaussian Processes
- Measures of multivariate skewness and kurtosis with applications