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 2751–2760 of 6748 papers

Title	Date	Tasks	Status
Causal Inference via Kernel Deviance Measures	Apr 12, 2018	Causal DiscoveryCausal Inference	—Unverified
A Novel Markov Model for Near-Term Railway Delay Prediction	May 21, 2022	Density EstimationPrediction	—Unverified
A Systematic Comparison of Forecasting for Gross Domestic Product in an Emergent Economy	Oct 26, 2020	Decision MakingState Space Models	—Unverified
Forecasting Realized Volatility Matrix With Copula-Based Models	Feb 20, 2020	Time SeriesTime Series Analysis	—Unverified
Gaussian process imputation of multiple financial series	Feb 11, 2020	ImputationTime Series	—Unverified
Causal Inference from Slowly Varying Nonstationary Processes	Dec 23, 2020	Causal DiscoveryCausal Identification	—Unverified
Forecasting Short-term load using Econometrics time series model with T-student Distribution	Sep 28, 2020	EconometricsLoad Forecasting	—Unverified
Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management	Dec 12, 2022	ClusteringManagement	—Unverified
Local-Global Methods for Generalised Solar Irradiance Forecasting	Mar 10, 2023	Solar Irradiance ForecastingTime Series Analysis	—Unverified
Enhancing Energy System Models Using Better Load Forecasts	Feb 21, 2023	Time SeriesTime Series Analysis	—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