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 3191–3200 of 6748 papers

Title	Date	Tasks	Status
Foreign exchange risk premia: from traditional to state-space analyses	May 25, 2016	Time SeriesTime Series Analysis	—Unverified
Foreign Exchange Market Performance: Evidence from Bivariate Time Series Approach	Aug 27, 2016	Time SeriesTime Series Analysis	—Unverified
Implications of Mortality Displacement for Effect Modification and Selection Bias	Mar 26, 2022	EpidemiologySelection bias	—Unverified
Complex-valued Gaussian Process Regression for Time Series Analysis	Nov 30, 2016	regressionTime Series	—Unverified
Importance attribution in neural networks by means of persistence landscapes of time series	Feb 6, 2023	Time SeriesTime Series Analysis	—Unverified
Imposing Connectome-Derived Topology on an Echo State Network	Jan 23, 2022	Time SeriesTime Series Analysis	—Unverified
A review on distance based time series classification	Jun 12, 2018	ClassificationGeneral Classification	—Unverified
Improved Dynamic Time Warping (DTW) Approach for Online Signature Verification	Mar 26, 2019	Dynamic Time WarpingTime Series	—Unverified
Improved FRQI on superconducting processors and its restrictions in the NISQ era	Oct 29, 2021	Time SeriesTime Series Analysis	—Unverified
A Method for Massively Parallel Analysis of Time Series	Dec 27, 2016	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