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 2101–2110 of 6748 papers

Title	Date	Tasks	Status
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC	Jun 12, 2013	Bayesian InferenceGaussian Processes	—Unverified
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection	Aug 19, 2017	Gaussian ProcessesMissing Values	—Unverified
A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series	Jun 3, 2019	Time SeriesTime Series Analysis	—Unverified
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting	Sep 25, 2020	Demand ForecastingGraph Neural Network	—Unverified
Detecting correlations and triangular arbitrage opportunities in the Forex by means of multifractal detrended cross-correlations analysis	Oct 31, 2019	Time SeriesTime Series Analysis	—Unverified
Bayesian Filtering for Multi-period Mean-Variance Portfolio Selection	Nov 18, 2019	Portfolio OptimizationTime Series	—Unverified
Detecting Concrete Abnormality Using Time-series Thermal Imaging and Supervised Learning	Apr 15, 2018	Decision MakingTime Series	—Unverified
Detecting Changes in Twitter Streams using Temporal Clusters of Hashtags	Aug 1, 2017	Change DetectionChange Point Detection	—Unverified
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior	Oct 22, 2022	Inductive BiasTime Series	—Unverified
An Improved Mathematical Model of Sepsis: Modeling, Bifurcation Analysis, and Optimal Control Study for Complex Nonlinear Infectious Disease System	Jan 7, 2022	Bayesian OptimizationTime 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