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 4071–4080 of 6748 papers

Title	Date	Tasks	Status
Estimating and backtesting risk under heavy tails	Oct 20, 2020	Time SeriesTime Series Analysis	—Unverified
Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference	Aug 1, 2017	Causal InferenceTime Series	—Unverified
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift	Jun 17, 2022	Bayesian InferenceHandwriting Recognition	—Unverified
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data	Nov 16, 2021	Multiple Instance LearningTime Series	—Unverified
Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust	Feb 6, 2023	Computational EfficiencyModel Selection	—Unverified
Uncertainty Measurement of Basic Probability Assignment Integrity Based on Approximate Entropy in Evidence Theory	May 16, 2021	Time SeriesTime Series Analysis	—Unverified
Uncertainty Modelling in Risk-averse Supply Chain Systems Using Multi-objective Pareto Optimization	Apr 24, 2020	Time SeriesTime Series Analysis	—Unverified
Uncertainty Quantification for Traffic Forecasting: A Unified Approach	Aug 11, 2022	Time SeriesTime Series Analysis	—Unverified
Uncertainty, volatility and the persistence norms of financial time series	Sep 30, 2021	regressionTime Series	—Unverified
Uncovering Closed-form Governing Equations of Nonlinear Dynamics from Videos	Jun 9, 2021	DecoderForm	—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