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 2331–2340 of 6748 papers

Title	Date	Tasks	Status
Change of persistence in European electricity spot prices	Dec 7, 2021	Time SeriesTime Series Analysis	—Unverified
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting	May 11, 2017	Load ForecastingTime Series	—Unverified
A NOVEL VARIATIONAL FAMILY FOR HIDDEN NON-LINEAR MARKOV MODELS	Sep 27, 2018	Time SeriesTime Series Analysis	—Unverified
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data	Nov 20, 2019	Time SeriesTime Series Analysis	—Unverified
The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy	Oct 8, 2020	Causal InferenceTime Series Analysis	—Unverified
Exact Mean Computation in Dynamic Time Warping Spaces	Oct 24, 2017	BenchmarkingDynamic Time Warping	—Unverified
Examining Deep Learning Architectures for Crime Classification and Prediction	Dec 3, 2018	ClassificationCrime Prediction	—Unverified
Excess risk bound for deep learning under weak dependence	Feb 15, 2023	Deep LearningTime Series	—Unverified
Challenges in Forecasting Malicious Events from Incomplete Data	Apr 6, 2020	Time SeriesTime Series Analysis	—Unverified
Nonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium Data	Nov 6, 2018	Time SeriesTime 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