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 2161–2170 of 6748 papers

Title	Date	Tasks	Status
A Statistical Recurrent Stochastic Volatility Model for Stock Markets	Jun 7, 2019	Time Series Analysis	—Unverified
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data	Sep 12, 2018	Time SeriesTime Series Analysis	—Unverified
Structural clustering of volatility regimes for dynamic trading strategies	Apr 21, 2020	Change Point DetectionClustering	—Unverified
Approximating DTW with a convolutional neural network on EEG data	Jan 30, 2023	Anomaly DetectionComputational Efficiency	—Unverified
Empirical Risk Minimization for Time Series: Nonparametric Performance Bounds for Prediction	Aug 11, 2021	Learning TheoryTime Series	—Unverified
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach	Oct 23, 2018	Bayesian InferenceClustering	—Unverified
Clustering Time-Series Energy Data from Smart Meters	Mar 24, 2016	ClusteringTime Series	—Unverified
A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction	May 16, 2017	ManagementTemporal Sequences	—Unverified
Clustering Time Series Data through Autoencoder-based Deep Learning Models	Apr 11, 2020	ClusteringDeep Learning	—Unverified
Clustering Time-Series by a Novel Slope-Based Similarity Measure Considering Particle Swarm Optimization	Dec 5, 2019	ClusteringDynamic Time Warping	—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