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Time series

Known as: Time series models, Multivariate time series, Timeseries 
A time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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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