Pages that link to "Item:Q4299031"
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The following pages link to DISCRIMINANT ANALYSIS FOR STATIONARY VECTOR TIME SERIES (Q4299031):
Displaying 22 items.
- Discriminant analysis for dynamics of stable processes (Q537353) (← links)
- Classification and similarity analysis of fundamental frequency patterns in infant spoken language acquisition (Q713830) (← links)
- Discriminant analysis of stationary finite Markov chains (Q876780) (← links)
- A periodogram-based metric for time series classification (Q959352) (← links)
- Linear discriminant function for complex normal time series (Q1202308) (← links)
- Detection of multiple ``disorders'' and classification of time series by statistical estimates of interclass distances (Q1316238) (← links)
- Higher-order asymptotic theory for discriminant analysis of Gaussian ARMA processes (Q1332745) (← links)
- Local asymptotic normality for regression models with long-memory disturbance (Q1583901) (← links)
- Empirical likelihood approach toward discriminant analysis for dynamics of stable processes (Q1731205) (← links)
- Discriminant analysis for locally stationary processes (Q1882941) (← links)
- Discriminant analysis based on binary time series (Q2189750) (← links)
- Discriminant analysis of time series in the presence of within-group spectral variability (Q2815045) (← links)
- Bootstrapping frequency domain tests in multivariate time series with an application to comparing spectral densities (Q2920284) (← links)
- CLUSTER ANALYSIS FOR NON-GAUSSIAN LOCALLY STATIONARY PROCESSES (Q3379413) (← links)
- Cluster Analysis for Stable Processes (Q3585265) (← links)
- Measures of Dependence and Tests of Independence (Q4337772) (← links)
- Discriminant analysis for non-gaussian vector stationary processes (Q4344665) (← links)
- Nonparametric approach for discriminant analysis in time series (Q4345889) (← links)
- HIGHER ORDER ASYMPTOTIC THEORY FOR DISCRIMINANT ANALYSIS IN GAUSSIAN STATIONARY PROCESSES (Q4354738) (← links)
- Discriminant and cluster analysis for Gaussian stationary processes: local linear fitting approach (Q4831085) (← links)
- Testing non-parametric hypotheses for stationary processes by estimating minimal distances (Q5495691) (← links)
- A testing approach to clustering scalar time series (Q6135376) (← links)
