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Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: Estimation and case influence diagnostics
(ELSEVIER SCIENCE BV, 2011)
The purpose of this paper is to develop a Bayesian analysis for nonlinear regression models under scale mixtures of skew-normal distributions. This novel class of models provides a useful generalization of the symmetrical ...
Use of genome-scale models to get new insights into the marine actinomycete genus Salinispora
(BioMed Central Ltd., 2019)
Background: There is little published regarding metabolism of Salinispora species. In continuation with efforts performed towards this goal, this study is focused on new insights into the metabolism of the three-identified ...
Bayesian modeling of autoregressive partial linear models with scale mixture of normal errors
(Taylor & Francis LtdAbingdonInglaterra, 2013)
DRYING STRATEGIES CAPABLE OF REDUCING THE STRESS LEVEL OF A STACK OF BOARDS AS DEFINED BY A COMPREHENSIVE DUAL SCALE MODEL
(Universidad del Bío-Bío, 2008)
The large numbers hypothesis and quantum mechanics
(1998)
In this paper, the suggested similarity between micro and macrocosmos is extended to quantum behavior, postulating that quantum mechanics, like general relativity and classical electrodynamics, is invariant under discrete ...
Finite size scaling in the two-dimensional xy model and generalized universality
(AMERICAN PHYSICAL SOCIETY, 2002)
Finite size scaling in the two-dimensional xy model and generalized universality
(AMERICAN PHYSICAL SOCIETY, 2002)
Strategies for scaling-up packed-bed bioreactors for solid-state fermentation: The case of cellulolytic enzymes production by a thermophilic fungus
(2019-04-01)
Mathematical models can be useful to predict the behavior of particulate systems, as it is the case of packed-bed bioreactors (PBBs) used for solid-state fermentation (SSF). The models also simplify the processes scale-up, ...