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 4511–4520 of 6748 papers

Title	Date	Tasks	Status
Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data	Apr 9, 2021	Causal DiscoveryCausal Inference	—Unverified
Large-Scale Simulation of Multi-Asset Ising Financial Markets	Jan 18, 2018	ClusteringTime Series	—Unverified
Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks	May 10, 2019	Computational EfficiencyPrediction	—Unverified
Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping	Apr 24, 2022	Contrastive LearningRepresentation Learning	—Unverified
Large Spectral Density Matrix Estimation by Thresholding	Dec 3, 2018	Functional ConnectivityTime Series	—Unverified
Lasso Guarantees for Time Series Estimation Under Subgaussian Tails and β-Mixing	Feb 12, 2016	Time SeriesTime Series Analysis	—Unverified
Lasso Inference for High-Dimensional Time Series	Jul 21, 2020	Time SeriesTime Series Analysis	—Unverified
lassopack: Model selection and prediction with regularized regression in Stata	Jan 16, 2019	Model Selectionregression	—Unverified
LAST SToP For Modeling Asynchronous Time Series	Feb 4, 2025	Anomaly DetectionImputation	—Unverified
Latent Convergent Cross Mapping	Jan 1, 2021	Causal InferenceTime 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