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 42914300 of 6748 papers

TitleStatusHype
The Role of Agricultural Sector Productivity in Economic Growth: The Case of Iran's Economic Development Plan0
The R package sentometrics to compute, aggregate and predict with textual sentiment0
The search for candidate relevant subsets of variables in complex systems0
The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM0
The short- and long-term determinants of fertility in Uruguay0
The SpaceNet Multi-Temporal Urban Development Challenge0
The Sparse Reverse of Principal Component Analysis for Fast Low-Rank Matrix Completion0
"The Squawk Bot": Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering0
The statistical physics of discovering exogenous and endogenous factors in a chain of events0
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification0
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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