Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2022
Review
2022
  • J. Cryer
  • Encyclopedia of Big Data
  • 2022
  • Corpus ID: 1413600
We provide a concise overview of time series analysis in the time and frequency domains, with lots of references for further… 
Highly Cited
2007
Highly Cited
2007
This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting… 
Highly Cited
2005
Highly Cited
2005
Preface. Preface to First Edition. 1. Financial Time Series and Their Characteristics. 2. Linear Time Series Analysis and Its… 
Highly Cited
1995
Highly Cited
1995
  • James A. Stewart
  • 1995
  • Corpus ID: 16816244
Abstract : This thesis applies neural network feature selection techniques to multivariate time series data to improve prediction… 
Highly Cited
1994
Highly Cited
1994
PREFACE. ABOUT THE AUTHOR. Chapter DIFFERENCE EQUATIONS . 1 Time-Series Models. 2 Difference Equations and Their Solutions. 3… 
Highly Cited
1994
Highly Cited
1994
Knowledge discovery in databases presents many interesting challenges within the context of providing computer tools for… 
Highly Cited
1989
Highly Cited
1989
SUMMARY A bias correction to the Akaike information criterion, AIC, is derived for regression and autoregressive time series… 
Highly Cited
1989
Highly Cited
1989
This paper models occasional, discrete shifts in the growth rate of a nonstationary series. Algorithms for inferring these… 
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… 
Highly Cited
1976
Highly Cited
1976
Moving Average and Autoregressive Processes. Introduction to Fourier Analysis. Spectral Theory and Filtering. Some Large Sample…