We compare parametric and nonparametric estimation methods in the context of PBPK modeling using simulation studies. We implement a Monte Carlo Markov Chain simulation technique in the parametric method, and a functional analytical approach to estimate the probability distribution function directly in the nonparametric method. The simulation results suggest an advantage for the parametric metho...

small area estimation is a technique used to estimate parameters of subpopulations with small sample sizes.  small area estimation is needed  in obtaining information on a small area, such as sub-district or village.  generally, in some cases, small area estimation uses parametric modeling.  but in fact, a lot of models have no linear relationship between the small area average and the covariat...

In this paper, the process of forecasting household energy consumption is studied within framework nonparametric Gaussian Process (GP), using multiple short time series data. As we begin to use smart meter data paint a clearer picture residential electricity use, it becomes increasingly apparent that must also construct detailed and understanding consumer’s complex relationship with gas consump...