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 4281–4290 of 6748 papers

Title	Date	Tasks	Status
The Origins of Computational Mechanics: A Brief Intellectual History and Several Clarifications	Oct 18, 2017	Time SeriesTime Series Analysis	—Unverified
Theory and Algorithms for Forecasting Time Series	Mar 15, 2018	Time SeriesTime Series Analysis	—Unverified
Theory of Acceleration of Decision Making by Correlated Time Sequences	Mar 30, 2022	Decision MakingTime Series	—Unverified
Theory of Evolutionary Spectra for Heteroskedasticity and Autocorrelation Robust Inference in Possibly Misspecified and Nonstationary Models	Mar 4, 2021	Time Series Analysis	—Unverified
Theory of Low Frequency Contamination from Nonstationarity and Misspecification: Consequences for HAR Inference	Mar 2, 2021	Time Series Analysis	—Unverified
The Problem of Calibrating an Agent-Based Model of High-Frequency Trading	Mar 23, 2017	Time SeriesTime Series Analysis	—Unverified
The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns	Nov 8, 2020	QuantizationTime Series	—Unverified
TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts	Feb 21, 2023	Image GenerationTime Series	—Unverified
The relationship between economic growth and environment. Testing the EKC hypothesis for Latin American countries	May 18, 2021	Time SeriesTime Series Analysis	—Unverified
The relationship between the US broad money supply and US GDP for the time period 2001 to 2019 with that of the corresponding time series for US national property and stock market indices, using an information entropy methodology	Jun 3, 2021	Time 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