Time Series Analysis

Time Series Analysis is a statistical technique used to analyze and model time-based data. It is used in various fields such as finance, economics, and engineering to analyze patterns and trends in data over time. The goal of time series analysis is to identify the underlying patterns, trends, and seasonality in the data, and to use this information to make informed predictions about future values.

( Image credit: Autoregressive CNNs for Asynchronous Time Series )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 3091–3100 of 6748 papers

Title	Date	Tasks	Status
Fractional trends and cycles in macroeconomic time series	May 23, 2020	Common Sense ReasoningTime Series	—Unverified
High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production	Sep 25, 2022	Earth ObservationTime Series	—Unverified
Compressive Nonparametric Graphical Model Selection For Time Series	Nov 13, 2013	Model SelectionTime Series	—Unverified
HiPPO-KAN: Efficient KAN Model for Time Series Analysis	Oct 19, 2024	Time SeriesTime Series Analysis	—Unverified
Fractional SDE-Net: Generation of Time Series Data with Long-term Memory	Jan 16, 2022	Time SeriesTime Series Analysis	—Unverified
Fractional integration and cointegration	Nov 18, 2022	Time SeriesTime Series Analysis	—Unverified
HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting	Jan 22, 2022	Graph LearningGraph Neural Network	—Unverified
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting	Mar 30, 2021	Time SeriesTime Series Analysis	—Unverified
Comprehensive Time-Series Regression Models Using GRETL -- U.S. GDP and Government Consumption Expenditures & Gross Investment from 1980 to 2013	Aug 17, 2019	Time SeriesTime Series Analysis	—Unverified
A metric to compare the anatomy variation between image time series	Feb 23, 2023	AnatomyTime Series	—Unverified

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All datasets PhysioNet Challenge 2012 Speech Commands Ventilator Pressure Prediction

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	naive classifier	F1	87.47	—	Unverified
2	GRU-D - APC (n = 1)	F1	27.3	—	Unverified
3	GRU-APC (n = 1)	F1	25.7	—	Unverified
4	GRU-D	F1	22.5	—	Unverified
5	GRU	F1	22.3	—	Unverified
6	GRU-Simple	F1	22.2	—	Unverified
7	GRU-Mean	F1	22.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SepTr	% Test Accuracy	98.51	—	Unverified
2	ViT	% Test Accuracy	98.11	—	Unverified
3	FlexTCN-4	% Test Accuracy	97.73	—	Unverified
4	MatchboxNet	% Test Accuracy	97.4	—	Unverified
5	CKCNN (100k)	% Test Accuracy	95.27	—	Unverified
6	FlexTCN-6	% Test Accuracy (Raw Data)	91.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResBiLSTM	MAE	0.13	—	Unverified