NOTE A comparison between Joint Regression Analysis and the Additive Main and Multiplicative Interaction model: the robustness with increasing amounts of missing data Paulo Canas RodriguesI; Dulce ...

Multiplicative Decomposition In many time series, the amplitude of both the seasonal and irregular variations increase as the level of the trend rises. In this situation, a multiplicative model is ...

This paper first provides statistical properties of wavelet operators when the observation model can be seen as the product of a deterministic piecewise regular function (signal) and a stationary ...

Physicists have proposed a new model of space-time that may provide the 'first observational evidence supporting string theory,' a new preprint suggests. The model aligns closely with recent dark ...

Use forecasting today to optimize for tomorrow! Time series forecasting is the use of a model to predict future values based on previously observed values. It is one of the prime tools of any buisness ...

Time Series Demand Forecasting with Ensemble Methods and Bayesian Optimized Hyperparameter Tuning In the world of business analytics, being able to predict sales with high accuracy can allow one to ...