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 3031–3040 of 6748 papers

Title	Date	Tasks	Status
AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting	Jan 29, 2021	ManagementTime Series	—Unverified
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection	Nov 1, 2022	Anomaly DetectionGraph structure learning	—Unverified
Asset volatility forecasting:The optimal decay parameter in the EWMA model	May 29, 2021	Time Series Analysis	—Unverified
Latent State Inference in a Spatiotemporal Generative Model	Sep 21, 2020	Causal InferenceTime Series	—Unverified
Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis	Sep 29, 2021	Time SeriesTime Series Analysis	—Unverified
End-to-end NILM System Using High Frequency Data and Neural Networks	Apr 29, 2020	Non-Intrusive Load MonitoringTime Series	—Unverified
Copy the dynamics using a learning machine	Jul 24, 2017	Time SeriesTime Series Analysis	—Unverified
A State Space Approach for Piecewise-Linear Recurrent Neural Networks for Reconstructing Nonlinear Dynamics from Neural Measurements	Dec 23, 2016	State Space ModelsTime Series	—Unverified
Causal Graph Discovery from Self and Mutually Exciting Time Series	Jan 26, 2023	Causal DiscoveryTime Series	—Unverified
A Novel Framework for Handling Sparse Data in Traffic Forecast	Jan 12, 2023	DecoderTime 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