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 4051–4060 of 6748 papers

Title	Date	Tasks	Status
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators.	Dec 1, 2013	Time SeriesTime Series Analysis	—Unverified
Statistical analysis of Wasserstein GANs with applications to time series forecasting	Nov 5, 2020	Time SeriesTime Series Analysis	—Unverified
Statistical and Computational Guarantees for the Baum-Welch Algorithm	Dec 27, 2015	Econometricsspeech-recognition	—Unverified
Statistical and Economic Evaluation of Time Series Models for Forecasting Arrivals at Call Centers	Apr 23, 2018	Time SeriesTime Series Analysis	—Unverified
Statistical Estimation of High-Dimensional Vector Autoregressive Models	Jun 9, 2020	Time SeriesTime Series Analysis	—Unverified
Statistical guided-waves-based SHM via stochastic non-parametric time series models	Jan 27, 2021	Decision MakingSensitivity	—Unverified
Statistical inference of lead-lag at various timescales between asynchronous time series from p-values of transfer entropy	Jun 21, 2022	Time SeriesTime Series Analysis	—Unverified
Statistical Inference with Stochastic Gradient Methods under φ-mixing Data	Feb 24, 2023	Time SeriesTime Series Analysis	—Unverified
Statistical learning method for predicting density-matrix based electron dynamics	Jul 31, 2021	regressionTime Series	—Unverified
Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix	Mar 17, 2020	Computational Efficiencyregression	—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