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 4681–4690 of 6748 papers

Title	Date	Tasks	Status
Valuing Players Over Time	Sep 8, 2022	Decision MakingTime Series	—Unverified
Variable and Fixed Interval Exponential Smoothing	Feb 11, 2015	Time SeriesTime Series Analysis	—Unverified
Variance of entropy for testing time-varying regimes with an application to meme stocks	Nov 10, 2022	Time SeriesTime Series Analysis	—Unverified
Variance Reduced Training with Stratified Sampling for Forecasting Models	Mar 2, 2021	Time SeriesTime Series Analysis	—Unverified
Variational approach for learning Markov processes from time series data	Jul 14, 2017	ManagementModel Selection	—Unverified
Variational Bayes Estimation of Discrete-Margined Copula Models with Application to Time Series	Dec 26, 2017	Time SeriesTime Series Analysis	—Unverified
Variational Bayesian Inference for Hidden Markov Models With Multivariate Gaussian Output Distributions	May 27, 2016	Bayesian InferenceTime Series	—Unverified
Variational Bayesian inference of hidden stochastic processes with unknown parameters	Nov 2, 2019	Bayesian InferenceMissing Values	—Unverified
Variational Conditional Dependence Hidden Markov Models for Skeleton-Based Action Recognition	Feb 13, 2020	Action RecognitionMissing Values	—Unverified
Variational Dynamic Mixtures	Oct 20, 2020	Probabilistic Time Series ForecastingTime Series	—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