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Review

2020

Review

2020

High-speed trains have become one of the most important and advanced branches of intelligent transportation, of which the… Expand

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Review

2019

Review

2019

Forecasting of multivariate time series data, for instance the prediction of electricity consumption, solar power production, and… Expand

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Review

2019

Review

2019

Time Series Classification (TSC) is an important and challenging problem in data mining. With the increase of time series data… Expand

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Review

2019

Review

2019

Abstract Activity detection and classification using different sensor modalities have emerged as revolutionary technology for… Expand

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Review

2017

Review

2017

A thorough review has been performed on interpolation methods to fill gaps in time-series, efficiency criteria, and uncertainty… Expand

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Highly Cited

1995

Highly Cited

1995

PREFACE. ABOUT THE AUTHOR. Chapter DIFFERENCE EQUATIONS . 1 Time-Series Models. 2 Difference Equations and Their Solutions. 3… Expand

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Highly Cited

1991

Highly Cited

1991

1 Stationary Time Series.- 2 Hilbert Spaces.- 3 Stationary ARMA Processes.- 4 The Spectral Representation of a Stationary Process… Expand

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Highly Cited

1985

Highly Cited

1985

We present the first algorithms that allow the estimation of non-negative Lyapunov exponents from an experimental time series… Expand

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Highly Cited

1979

Highly Cited

1979

Abstract Let n observations Y 1, Y 2, ···, Y n be generated by the model Y t = pY t−1 + e t , where Y 0 is a fixed constant and… Expand

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Highly Cited

1970

Highly Cited

1970

From the Publisher:
This is a complete revision of a classic, seminal, and authoritative book that has been the model for most… Expand

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