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 33113320 of 6748 papers

TitleStatusHype
Complexity and Persistence of Price Time Series of the European Electricity Spot Market0
Forecasting Time Series with VARMA Recursions on Graphs0
Initial conditions in the neural field model0
Initialising Kernel Adaptive Filters via Probabilistic Inference0
Forecasting time series with encoder-decoder neural networks0
Initialization of multilayer forecasting artifical neural networks0
Forecasting the Turkish Lira Exchange Rates through Univariate Techniques: Can the Simple Models Outperform the Sophisticated Ones?0
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems0
Compensatory model for quantile estimation and application to VaR0
A review of two decades of correlations, hierarchies, networks and clustering in financial markets0
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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