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 1041–1050 of 6748 papers

Title	Date	Tasks	Status
Chaos in Fractionally Integrated Generalized Autoregressive Conditional Heteroskedastic Processes	Feb 12, 2016	Time SeriesTime Series Analysis	—Unverified
A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors	Nov 26, 2021	Model SelectionTime Series	—Unverified
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs	Apr 22, 2020	PredictionTime Series	—Unverified
Chaos may enhance expressivity in cerebellar granular layer	Jun 20, 2020	Time SeriesTime Series Analysis	—Unverified
A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation	Jun 13, 2019	Time SeriesTime Series Analysis	—Unverified
Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-19	Dec 12, 2019	Anomaly DetectionTime Series	—Unverified
A new measure between sets of probability distributions with applications to erratic financial behavior	Jun 10, 2021	Change Point DetectionPortfolio Optimization	—Unverified
Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders	Oct 23, 2018	AstronomyDynamic Time Warping	—Unverified
AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning	Mar 26, 2022	Neural Architecture SearchTime Series	—Unverified
ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series	Mar 27, 2020	Anomaly DetectionClustering	—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