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 2361–2370 of 6748 papers

Title	Date	Tasks	Status
Autoencoding Time Series for Visualisation	May 5, 2015	Time SeriesTime Series Analysis	—Unverified
An Empirical Study on How the Developers Discussed about Pandas Topics	Oct 7, 2022	Time Series Analysis	—Unverified
Adversarial attacks against Bayesian forecasting dynamic models	Oct 20, 2021	regressionTime Series	—Unverified
A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters	Nov 8, 2021	CPUmodel	—Unverified
Deep Generators on Commodity Markets; application to Deep Hedging	May 27, 2022	Generative Adversarial NetworkTime Series	—Unverified
Autoencoding Conditional GAN for Portfolio Allocation Diversification	Jun 17, 2022	Generative Adversarial NetworkTime Series	—Unverified
Deep Generative SToRM model for dynamic imaging	Jan 29, 2021	modelTime Series	—Unverified
Deep Generative Quantile-Copula Models for Probabilistic Forecasting	Jul 24, 2019	Probabilistic Time Series Forecastingquantile regression	—Unverified
Autoencoder-based time series clustering with energy applications	Feb 10, 2020	ClusteringTime Series	—Unverified
Deep Gaussian Covariance Network	Oct 17, 2017	Gaussian ProcessesMixture-of-Experts	—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