Bayesian Analysis for Sparse Functional Data
Texto completo
Documento similar
Since on-diagonal heat kernel bounds give L 1 –L ∞ -smoothing in the linear case, we are able to transfer such estimates to the nonlinear setting (GPME) by using G I −L as a
Informing women about the benefits and adverse effects of breast cancer screening could have an effect on their knowledge; their time perspective or their worry about breast cancer,
Modeling and Computation, Handbook of Statistics 25 (Dey, D. Intrinsic credible regions: An objective Bayesian approach to interval estimation. The case for objective Bayesian
(2006) describe business model as the company's unique value proposition (business concept), how it uses its sustainable competitive advantage to perform better than its rivals
We list in table 2 different point estimates for each of these parameters: the global maximum likelihood (which is the best fit point, bfp, of the χ 2 analysis), the point at which
Fuzzy membership functions for the inputs reel diameter and number of bats, and output functions for the harvesting losses model.. Membership function definition procedure for
where AL←M and R←M are the effect of M on ADG AL and ADG R , respectively; b is the vector of systematic effects, with incidence matrix X , which included the effects of
Thus, considering the multiple forms of forecasting resources in the retail supply chain, the Bayesian combination forecasting method is applied for CPFR collaborative