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Univariate cubic regression
The dataset used in the paper is a collection of noisy time series data for the univariate cubic regression. -
Bayesian polynomial neural ODEs
The dataset used in the paper is a collection of noisy time series data for the Lotka-Volterra oscillator, damped oscillator, and Lorenz attractor. -
Simulated data
Simulated data from five standard data generating processes (DGPs) to evaluate when SGTs and Booging outperform their counterparts relying on their traditionally associated... -
Sufficient Forecasting Using Factor Models
The dataset used in the paper is a high-dimensional time series dataset, where the target variable yt+1 is forecasted using a large number of predictors xt. -
Example dataset
The data used in this example was generated using the following equation: f (x, t) = g1(x)eλ1t +g2(x)eλ2t +g3(x)eλ3t +σ(cid:15) (12) where (cid:15) ∼ N (0, 1) is normally... -
Multi-Decoder RNN Autoencoder Based on Variational Bayes Method
Time series data analysis, clustering algorithms, recurrent neural network, variational Bayes method -
Simple dataset for time series
The dataset used in this paper is a collection of time series, and the authors used it to test the uniqueness of optimal warping paths. -
Brain-Inspired Spike Echo State Network Dynamics for Aero-engine Intelligent ...
Aero-engine fault prediction aims to accurately predict the development trend of the future state of aero-engines, so as to diagnose faults in advance. -
Deep information for learning and control
The dataset is used to test the proposed method for inferring representations of time series. -
COVID-19 time series
Raw data for Confirmed cases and Deaths time series -
YearPredictionMSD Dataset
The dataset used in the paper for hyper-parameter tuning using transient cloud resources. -
Epsilon Dataset
The dataset used in the paper for hyper-parameter tuning using transient cloud resources. -
M3 competition dataset
Time series dataset used in the paper -
Wind speed data from TUDelft
The dataset used in this paper is a collection of wind speed data from TUDelft. -
EigenWorms dataset
The EigenWorms dataset contains 259 worm samples with very long sequences (length N = 17984) in this dataset, which are then divided into train, validation and test sets. -
M2-competition
The M2-competition dataset contains 1,000 time series. -
M3-competition
The M3-competition dataset contains 1,000 time series. -
Time series dataset
The dataset used in the paper is a time series dataset with autoregressive case where X i = Yi−1 or X i = (Yi−1,..., Yi−p). -
Synthetic Control Chart Time Series
The dataset used in the paper is a synthetic control chart time series dataset, which contains control charts synthetically generated by Alcock and Manolopoulos for the six...
