SOTAVerified

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

Showing 9911000 of 6748 papers

TitleStatusHype
Aedes-AI: Neural Network Models of Mosquito Abundance0
Bayesian Realized-GARCH Models for Financial Tail Risk Forecasting Incorporating Two-sided Weibull Distribution0
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series0
Bayesian Regression Approach for Building and Stacking Predictive Models in Time Series Analytics0
AWT -- Clustering Meteorological Time Series Using an Aggregated Wavelet Tree0
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling0
A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting0
Bayesian Time Series Forecasting with Change Point and Anomaly Detection0
An Explainer for Temporal Graph Neural Networks0
Causal Inference for Time series Analysis: Problems, Methods and Evaluation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1naive classifierF187.47Unverified
2GRU-D - APC (n = 1)F127.3Unverified
3GRU-APC (n = 1)F125.7Unverified
4GRU-DF122.5Unverified
5GRUF122.3Unverified
6GRU-SimpleF122.2Unverified
7GRU-MeanF122.1Unverified
#ModelMetricClaimedVerifiedStatus
1SepTr% Test Accuracy98.51Unverified
2ViT% Test Accuracy98.11Unverified
3FlexTCN-4% Test Accuracy97.73Unverified
4MatchboxNet% Test Accuracy97.4Unverified
5CKCNN (100k)% Test Accuracy95.27Unverified
6FlexTCN-6% Test Accuracy (Raw Data)91.73Unverified
#ModelMetricClaimedVerifiedStatus
1ResBiLSTMMAE0.13Unverified