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Time Series Analysis [PDF]

open access: yesSSRN Electronic Journal, 2006
Any series of observations ordered along a single dimension, such as time, may be thought of as a time series. The emphasis in time series analysis is on studying the dependence among observations at different points in time. What distinguishes time series analysis from general multivariate analysis is precisely the temporal order imposed on the ...
Francis X. Diebold   +2 more
core   +5 more sources
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Time series analysis

American Journal of Orthodontics and Dentofacial Orthopedics, 2022
This article describes a simple method of applying a time series analysis to sample data sets using a free and open statistical software program, Language R.Records of new patients who visited 2 different university-affiliated orthodontic departments in 2 different countries were collected.
Richard E. Donatelli   +3 more
openaire   +4 more sources

Time Series Analysis Forecasting and Control.

Journal of the American Statistical Association, 1971
D. J. Bartholomew   +2 more
openaire   +2 more sources

One Fits All: Power General Time Series Analysis by Pretrained LM

Neural Information Processing Systems, 2023
Although we have witnessed great success of pre-trained models in natural language processing (NLP) and computer vision (CV), limited progress has been made for general time series analysis.
Tian Zhou   +4 more
semanticscholar   +1 more source

A Survey on Deep Learning based Time Series Analysis with Frequency Transformation

Knowledge Discovery and Data Mining, 2023
Recently, frequency transformation (FT) has been increasingly incorporated into deep learning models to significantly enhance state-of-the-art accuracy and efficiency in time series analysis.
Kun Yi   +5 more
semanticscholar   +1 more source

Short-Term Traffic Flow Prediction for Urban Road Sections Based on Time Series Analysis and LSTM_BILSTM Method

IEEE transactions on intelligent transportation systems (Print), 2021
The real-time performance and accuracy of traffic flow prediction directly affect the efficiency of traffic flow guidance systems, and traffic flow prediction is a hotspot in the field of intelligent transportation.
Changxi Ma, G. Dai, Jibiao Zhou
semanticscholar   +1 more source

Foundations of Time Series Analysis

2021
For almost a century, classical statistical methods including exponential smoothing and autoregression integrated moving averages (ARIMA) have been predominant in the analysis of time series (TS) and in the pursuit of forecasting future events from historical data.
Jonas, Ort   +5 more
openaire   +2 more sources

Robust Time Series Analysis and Applications: An Industrial Perspective

Knowledge Discovery and Data Mining, 2022
Time series analysis is ubiquitous and important in various areas, such as Artificial Intelligence for IT Operations (AIOps) in cloud computing, AI-powered Business Intelligence (BI) in E-commerce, Artificial Intelligence of Things (AIoT), etc.
Qingsong Wen   +3 more
semanticscholar   +1 more source

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