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 1341–1350 of 6748 papers

Title	Date	Tasks	Status
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems	Oct 26, 2020	Decision MakingDomain Adaptation	—Unverified
An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions	Apr 18, 2022	Time SeriesTime Series Analysis	—Unverified
Non-stationary GARCH modelling for fitting higher order moments of financial series within moving time windows	Feb 23, 2021	Time SeriesTime Series Analysis	—Unverified
A State-Space Approach to Dynamic Nonnegative Matrix Factorization	Aug 31, 2017	Time SeriesTime Series Analysis	—Unverified
A CNN–LSTM model for gold price time-series forecasting	Mar 14, 2020	Deep LearningTime Series	—Unverified
Convolutional Sequence Modeling Revisited	Jan 1, 2018	Language ModellingTime 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
Asset volatility forecasting:The optimal decay parameter in the EWMA model	May 29, 2021	Time Series Analysis	—Unverified
An Adaptive Framework for Generalizing Network Traffic Prediction towards Uncertain Environments	Nov 30, 2023	PredictionTime Series	—Unverified
Asset Pricing with General Transaction Costs: Theory and Numerics	Apr 15, 2020	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