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 3271–3280 of 6748 papers

Title	Date	Tasks	Status
Forecasting with a Panel Tobit Model	Oct 27, 2021	modelTime Series	—Unverified
Inference in Non-stationary High-Dimensional VARs	Feb 2, 2023	Time SeriesTime Series Analysis	—Unverified
Inference of Binary Regime Models with Jump Discontinuities	Oct 23, 2019	Algorithmic TradingTime Series	—Unverified
Inference of Causal Information Flow in Collective Animal Behavior	Dec 29, 2016	Time SeriesTime Series Analysis	—Unverified
Inference of High-dimensional Autoregressive Generalized Linear Models	May 9, 2016	Time SeriesTime Series Analysis	—Unverified
Inference of stochastic time series with missing data	Jan 28, 2021	Time SeriesTime Series Analysis	—Unverified
Inference on Causal Effects of Interventions in Time using Gaussian Processes	Oct 6, 2022	Gaussian ProcessesTime Series	—Unverified
Inference on the change point in high dimensional time series models via plug in least squares	Jul 3, 2020	Time SeriesTime Series Analysis	—Unverified
Inference on Time Series Nonparametric Conditional Moment Restrictions Using General Sieves	Dec 31, 2022	Off-policy evaluationTime Series	—Unverified
Forecasting Using Reservoir Computing: The Role of Generalized Synchronization	Feb 4, 2021	Time SeriesTime Series Analysis	—Unverified

Show:10 25 50

← PrevPage 328 of 675Next →

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