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Multivariate Statistical Methods: Going Beyond the Linear

Terdik, György

1st Edition 2021, 2021

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Notes on matrix-valued stationary stochastic processes. II

Publicationes mathematicae (Debrecen), 2022-07, Vol.26 (1-2), p.123-126

Terdik, Gy

2022

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An approximate Wiener-series expansion and a condition of stationarity for some quadratic time series models

Publicationes mathematicae (Debrecen), 2022-07, Vol.36 (1-4), p.299-311

Terdik, Gy

2022

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A note on stationarity of bilinear models

Publicationes mathematicae (Debrecen), 2022-07, Vol.38 (1-2), p.165-173

2022

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Matrix valued statistical investigations of the double measurements modell

Publicationes mathematicae (Debrecen), 2022-07, Vol.32 (1-2), p.7-15

2022

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Notes on matrix-valued stationary stochastic processes. I

Publicationes mathematicae (Debrecen), 2022-07, Vol.25 (3-4), p.281-283

2022

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Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis: A Frequency Domain Approach

Terdik, György

1, 1999

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LONG‐MEMORY PROCESSES: PROBABILISTIC PROPERTIES AND STATISTICAL METHODS, by JanBeran, YuanhuaFeng, SucharitaGhosh, and RafalKulik. Published by SpringerLondon, 2013. Total number of pages: 884. ISBN: 978‐3‐642‐35511‐0 (print), 978‐3‐642‐35512‐7 (online)

Journal of time series analysis, 2014-07, Vol.35 (4), p.390-392

Terdik, GY

2014

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When the bispectrum is real-valued

Statistics & probability letters, 2014-12, Vol.95, p.1-5

2014

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Bilinear Stochastic Systems with Fractional Brownian Motion Input

The Annals of applied probability, 1999-02, Vol.9 (1), p.46-77

1999

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On the Statistical Analysis of Wireless Sensor vs. Wired Data Network Traffics

Carpathian journal of electronic and computer engineering, 2011-01, Vol.4, p.41

2011

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Fractional- and integer-order moments, and multiscaling for smoothly truncated Lévy flights

Physics letters. A, 2006-01, Vol.348 (3), p.94-109

2006

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Statistical Analysis of Spatio-Temporal Models and Their Applications

Handbook of Statistics, 2012, Vol.30, p.521-540

2012

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On multivariate nonlinear regression models with stationary correlated errors

Journal of statistical planning and inference, 2007-11, Vol.137 (11), p.3793-3814

2007

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On Wiener–Ito representation and the best linear predictors for bilinear time series

Journal of applied probability, 1989-06, Vol.26 (2), p.274-286

1989

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Bispectral analysis of traffic in high-speed networks

Computers & mathematics with applications (1987), 2002-06, Vol.43 (12), p.1575-1583

2002

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A New Test of Linearity of Time Series Based on the Bispectrum

Journal of time series analysis, 1998-11, Vol.19 (6), p.737-753

1998

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Ch. 21. On the theory of discrete and continuous bilinear time series models

Handbook of Statistics, 2003, Vol.21, p.827-870

2003

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Correction on paper “On spectral and bispectral estimator of the parameter of non-Gaussian data”

Random operators and stochastic equations, 1999, Vol.7 (1), p.107-107

1999

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Bilinear Stochastic Systems with Long Range Dependence in Continuous Time

Stochastic Differential and Difference Equations, p.299-307

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On Wiener–Ito representation and the best linear predictors for bilinear time series

Journal of applied probability, 1989-06, Vol.26 (2), p.274-286

1989

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LONG‐MEMORY PROCESSES: PROBABILISTIC PROPERTIES AND STATISTICAL METHODS, by Jan Beran, Yuanhua Feng, Sucharita Ghosh, and Rafal Kulik. Published by Springer London, 2013. Total number of pages: 884. ISBN: 978‐3‐642‐35511‐0 (print), 978‐3‐642‐35512‐7 (online)

Journal of Time Series Analysis, 2014, Vol.35 (4), p.390-392

Terdik, GY

2014

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Book Review - LONG-MEMORY PROCESSES: PROBABILISTIC PROPERTIES AND STATISTICAL METHODS

Journal of Time Series Analysis, 2014, Vol.35 (4), p.390-392

Terdik, GY

2014

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Forward and backward Markovian state space models of second order process

Computers & mathematics with applications (1987), 1990, Vol.19 (1), p.21-29

1990

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Multifractal study of Internet traffic

2001 IEEE Workshop on High Performance Switching and Routing (IEEE Cat. No.01TH8552), 2001, p.197-201

2001

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Multivariate Statistical Methods: Going Beyond the Linear

Notes on matrix-valued stationary stochastic processes. II

An approximate Wiener-series expansion and a condition of stationarity for some quadratic time series models

A note on stationarity of bilinear models

Matrix valued statistical investigations of the double measurements modell

Notes on matrix-valued stationary stochastic processes. I

Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis: A Frequency Domain Approach

LONG‐MEMORY PROCESSES: PROBABILISTIC PROPERTIES AND STATISTICAL METHODS, by JanBeran, YuanhuaFeng, SucharitaGhosh, and RafalKulik. Published by SpringerLondon, 2013. Total number of pages: 884. ISBN: 978‐3‐642‐35511‐0 (print), 978‐3‐642‐35512‐7 (online)

When the bispectrum is real-valued

Bilinear Stochastic Systems with Fractional Brownian Motion Input

On the Statistical Analysis of Wireless Sensor vs. Wired Data Network Traffics

Fractional- and integer-order moments, and multiscaling for smoothly truncated Lévy flights

Statistical Analysis of Spatio-Temporal Models and Their Applications

On multivariate nonlinear regression models with stationary correlated errors

On Wiener–Ito representation and the best linear predictors for bilinear time series

Bispectral analysis of traffic in high-speed networks

A New Test of Linearity of Time Series Based on the Bispectrum

Ch. 21. On the theory of discrete and continuous bilinear time series models

Correction on paper “On spectral and bispectral estimator of the parameter of non-Gaussian data”

Bilinear Stochastic Systems with Long Range Dependence in Continuous Time

On Wiener–Ito representation and the best linear predictors for bilinear time series

LONG‐MEMORY PROCESSES: PROBABILISTIC PROPERTIES AND STATISTICAL METHODS, by Jan Beran, Yuanhua Feng, Sucharita Ghosh, and Rafal Kulik. Published by Springer London, 2013. Total number of pages: 884. ISBN: 978‐3‐642‐35511‐0 (print), 978‐3‐642‐35512‐7 (online)

Book Review - LONG-MEMORY PROCESSES: PROBABILISTIC PROPERTIES AND STATISTICAL METHODS

Forward and backward Markovian state space models of second order process

Multifractal study of Internet traffic

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