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 2881–2890 of 6748 papers

Title	Date	Tasks	Status
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality	Oct 29, 2018	Causal InferenceRelation	—Unverified
Generalised learning of time-series: Ornstein-Uhlenbeck processes	Oct 21, 2019	EconometricsImputation	—Unverified
Generalised Structural CNNs (SCNNs) for time series data with arbitrary graph topology	Mar 14, 2018	Time SeriesTime Series Analysis	—Unverified
Generalizable autoregressive modeling of time series through functional narratives	Oct 10, 2024	Time SeriesTime Series Analysis	—Unverified
Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction	Oct 4, 2022	counterfactualOpen-Ended Question Answering	—Unverified
Generalization of Auto-Regressive Hidden Markov Models to Non-Linear Dynamics and Unit Quaternion Observation Space	Feb 23, 2023	speech-recognitionSpeech Recognition	—Unverified
A Novel Hybrid Framework for Hourly PM2.5 Concentration Forecasting Using CEEMDAN and Deep Temporal Convolutional Neural Network	Dec 7, 2020	Time SeriesTime Series Analysis	—Unverified
Bayesian Neural Networks for Macroeconomic Analysis	Nov 9, 2022	Time SeriesTime Series Analysis	—Unverified
Enforcing constraints for time series prediction in supervised, unsupervised and reinforcement learning	May 17, 2019	reinforcement-learningReinforcement Learning	—Unverified
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals	Sep 22, 2021	Causal Inferencecounterfactual	—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