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 911–920 of 6748 papers

Title	Date	Tasks	Status	Score
Inferring Density-Dependent Population Dynamics Mechanisms through Rate Disambiguation for Logistic Birth-Death Processes	May 10, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Implementing spectral methods for hidden Markov models with real-valued emissions	Apr 29, 2014	parameter estimationTime Series	CodeCode Available	5
Impact of non-stationarity on estimating and modeling empirical copulas of daily stock returns	Jun 26, 2015	Time SeriesTime Series Analysis	CodeCode Available	5
Nickell Bias in Panel Local Projection: Financial Crises Are Worse Than You Think	Feb 27, 2023	regressionTime Series Analysis	CodeCode Available	5
Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting	Apr 1, 2022	Decision MakingEpidemiology	CodeCode Available	5
A Correlation Based Feature Representation for First-Person Activity Recognition	Nov 15, 2017	Activity RecognitionEgocentric Activity Recognition	CodeCode Available	5
Imbedding Deep Neural Networks	Jan 31, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN	May 3, 2020	Multivariate Time Series ForecastingProbabilistic Time Series Forecasting	CodeCode Available	5
A bootstrap test to detect prominent Granger-causalities across frequencies	Mar 1, 2018	Time SeriesTime Series Analysis	CodeCode Available	5
An Interpretable and Sparse Neural Network Model for Nonlinear Granger Causality Discovery	Nov 22, 2017	Time SeriesTime Series Analysis	CodeCode Available	5

Show:10 25 50

← PrevPage 92 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