Discrimination and Clustering for Multivariate Time Series

From MaRDI portal
Publication:3839607

DOI10.2307/2669629zbMath0906.62060OpenAlexW4244161474MaRDI QIDQ3839607

Masanobu Taniguchi, Yoshihide Kakizawa, Robert H. Shumway

Publication date: 9 August 1998

Full work available at URL: https://doi.org/10.2307/2669629



Related Items

Robust functional supervised classification for time series, Discriminant analysis of multivariate time series: application to diagnosis based on ECG signals, Polarization of forecast densities: a new approach to time series classification, A hypothesis test using bias-adjusted AR estimators for classifying time series in small samples, Thermodynamic Bayesian model comparison, Constructing brain connectivity group graphs from EEG time series, Comparing several parametric and nonparametric approaches to time series clustering: a simulation study, Discriminant analysis for locally stationary processes, Clustering of short time-course gene expression data with dissimilar replicates, A computational technique to classify several fractional Brownian motion processes, Clustering financial time series: new insights from an extended hidden Markov model, Bootstrapping Frequency Domain Tests in Multivariate Time Series with an Application to Comparing Spectral Densities, Time Series Clustering on Lower Tail Dependence for Portfolio Selection, HIGHER ORDER ASYMPTOTIC THEORY FOR MINIMUM CONTRAST ESTIMATORS OF SPECTRAL PARAMETERS OF STATIONARY PROCESSES, Testing the difference between spectral densities of two independent periodically correlated (cyclostationary) time series models, A computational method to compare spectral densities of independent periodically correlated time series, Discrimination information for intensity distributions of a collimated wave beam, Signal discrimination without denoising, Canonical correlation for principal components of time series, Spectrum-based comparison of stationary multivariate time series, A clustering procedure for exploratory mining of vector time series, Random Projection Ensemble Classification with High-Dimensional Time Series, The bootstrap for testing the equality of two multivariate time series with an application to financial markets, Analytical study of performance of linear discriminant analysis in stochastic settings, Clustering multivariate time series using energy distance, A testing approach to clustering scalar time series, Wavelets-based clustering of multivariate time series, Clustering of biological time series by cepstral coefficients based distances, Time series clustering using the total variation distance with applications in oceanography, Temporal clustering of time series via threshold autoregressive models: application to commodity prices, Time series clustering based on nonparametric multidimensional forecast densities, Clustering nonlinear, nonstationary time series using BSLEX, Structural shrinkage of nonparametric spectral estimators for multivariate time series, A similarity measure for second order properties of non-stationary functional time series with applications to clustering and testing, Time-frequency clustering and discriminant analysis., Binary trees for dissimilarity data, Non-linear time series clustering based on non-parametric forecast densities, Clustering Multiple Time Series with Structural Breaks, An extension of Fisher's discriminant analysis for stochastic processes, Clustering multivariate time series by genetic multiobjective optimization, Extracting clusters from aggregate panel data: a market segmentation study, Time‐series clustering via quasi U‐statistics, Biological applications of time series frequency domain clustering, Cluster analysis of panel data sets using non-standard optimisation of information criteria, A periodogram-based metric for time series classification, A new method to compare the spectral densities of two independent periodically correlated time series, Adaptive dissimilarity index for measuring time series proximity, Adaptive clustering for time series: application for identifying cell cycle expressed genes, Clustering of discretely observed diffusion processes, Detecting abrupt changes in a piecewise locally stationary time series, ICLUS: A robust and scalable clustering model for time series via independent component analysis, Classification and similarity analysis of fundamental frequency patterns in infant spoken language acquisition, Wavelet-based feature extraction using probabilistic finite state automata for pattern classification, Testing the difference between two independent time series models, Classification of multivariate non-stationary signals: the SLEX-shrinkage approach, Time Series Classification Based on Spectral Analysis, Mining categorical sequences from data using a hybrid clustering method, Classifying time series data: a nonparametric approach, Robust minimum information loss estimation, Unnamed Item, Shrinkage estimation in the frequency domain of multivariate time series, Testing equality of stationary autocovariances, Time series clustering based on forecast densities, Nonparametric Methods of Process Discrimination and Model Validation Using Zero Crossings, The Autoregressive metric for comparing time series models, A comparison of multivariate signal discrimination techniques, Robust causality test of infinite variance processes, Discrimination of locally stationary time series using wavelets, Time series clustering and classification by the autoregressive metric, VAR model based clustering method for multivariate time series data, Thick Pen Transformation for Time Series, A copula based ICA algorithm and its application to time series clustering, Clustering brain signals: a robust approach using functional data ranking, Testing non-parametric hypotheses for stationary processes by estimating minimal distances, On nonparametric and semiparametric testing for multivariate linear time series, Clustering time series by linear dependency, Clustering of time series data -- a survey, Clustering and representation of time series. Application to dissimilarities based on divergences, Structural break estimation of noisy sinusoidal signals, Quantile-based fuzzy \(C\)-means clustering of multivariate time series: robust techniques, Classification of cyclical time series using complex demodulation, Wavelet-based fuzzy clustering of time series