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Found 3 papers, 3 papers with code
Additive stacking for disaggregate electricity demand forecasting
We focus on forecasting demand at the individual household level, which is more challenging than forecasting aggregate demand, due to the lower signal-to-noise ratio and to the heterogeneity of consumption patterns across households.
Computing AIC for black-box models using Generalised Degrees of Freedom: a comparison with cross-validation
Generalised Degrees of Freedom (GDF), as defined by Ye (1998 JASA 93:120-131), represent the sensitivity of model fits to perturbations of the data.
An Extended Empirical Saddlepoint Approximation for Intractable Likelihoods
The challenges posed by complex stochastic models used in computational ecology, biology and genetics have stimulated the development of approximate approaches to statistical inference.
Methodology Applications
