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 2211–2220 of 6748 papers

Title	Date	Tasks	Status
Evolutionary correlation, regime switching, spectral dynamics and optimal trading strategies for cryptocurrencies and equities	Dec 31, 2021	ManagementTime Series	—Unverified
Closed-form Inference and Prediction in Gaussian Process State-Space Models	Dec 10, 2018	FormState Space Models	—Unverified
Aligned Multi-Task Gaussian Process	Oct 29, 2021	Bayesian InferenceGaussian Processes	—Unverified
Applications of Signature Methods to Market Anomaly Detection	Jan 7, 2022	Anomaly DetectionTime Series	—Unverified
Adaptive Inducing Points Selection For Gaussian Processes	Jul 21, 2021	Gaussian ProcessesTime Series	—Unverified
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach	Oct 28, 2021	ClusteringMeta-Learning	—Unverified
CLeaR: An Adaptive Continual Learning Framework for Regression Tasks	Jan 4, 2021	Continual LearningIncremental Learning	—Unverified
Applications of shapelet transform to time series classification of earthquake, wind and wave data	Apr 22, 2020	BIG-bench Machine LearningEvent Detection	—Unverified
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data	Nov 10, 2020	Dictionary LearningTime Series	—Unverified
Class-Specific Attention (CSA) for Time-Series Classification	Nov 19, 2022	ClassificationTime 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