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 921930 of 6748 papers

TitleStatusHype
A bootstrap test to detect prominent Granger-causalities across frequenciesCode0
An Interpretable and Sparse Neural Network Model for Nonlinear Granger Causality DiscoveryCode0
Incorporating Stock Market Signals for Twitter Stance DetectionCode0
Impact of non-stationarity on estimating and modeling empirical copulas of daily stock returnsCode0
An Infra-Structure for Performance Estimation and Experimental Comparison of Predictive Models in RCode0
Implementing spectral methods for hidden Markov models with real-valued emissionsCode0
An Information Theory Approach on Deciding Spectroscopic Follow UpsCode0
Imbedding Deep Neural NetworksCode0
Nickell Bias in Panel Local Projection: Financial Crises Are Worse Than You ThinkCode0
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GANCode0
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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