The behavior of the ”constants”, G, c, h̄, a, e, mi and Λ, considering them as variable, in the framework of a flat cosmological model with FRW symmetries described by a bulk viscous fluid and considering mechanisms of adiabatic matter creation are investigated. Within two models; one with radiation predominance and another of matter predominance, this behavior are studied. We find that with the...

We study the operator-valued free Fisher information of random matrices in an operator-valued noncommutative probability space. We obtain a formula for Φ M2(B) (A,A,M2(B), η), where A ∈ M2(B) is a 2 × 2 operator matrix on B, and η is linear operators on M2(B). Then we consider a special setting: A is an operator-valued semicircular matrix with conditional expectation covariance, and find that Φ...

OBJECTIVES This study explores the analytic implications of using questions about difficulty with daily activities that do not specify whether to consider assistance. METHODS For 1,054 Asset and Health Dynamics of the Oldest Old Study Wave 2 respondents, we compared responses to questions about difficulty without reference to assistance (ambiguous difficulty) to those about difficulty without...

Bootstrap and restructuring (BSRS) has been shown in our previous work to be superior over the conventional acoustic modeling approach when dealing with low-resourced languages. This paper presents a full covariance based BSRS scheme, which is an extension of our previous work on diagonal covariance based BSRS acoustic modeling. Since full covariance provides richer structural information of ac...

In type theoretic research on object-oriented programming the \covariance versus con-travariance issue" is a topic of continuing debate. In this short note we argue that covari-ance and contravariance appropriately characterize two distinct and independent mechanisms. The so-called contravariance rule correctly captures the substitutivity, or subtyping relation (that establishes which sets of c...

In applications of Gaussian processes where quantification of uncertainty is of primary interest, it is necessary to accurately characterize the posterior distribution over covariance parameters. This paper proposes an adaptation of the Stochastic Gradient Langevin Dynamics algorithm to draw samples from the posterior distribution over covariance parameters with negligible bias and without the ...

BACKGROUND Low diet quality and depression symptoms are independently associated with poor glycemic control in subjects with type 2 diabetes (T2D); however, the relationship between them is unclear. The aim of this study was to determine the association between diet quality and symptoms of depression among Cuban-Americans with and without T2D living in South Florida. METHODS Subjects (n = 356...

A Monte Carlo EM method of nonstationary covariance model and estimator proposed in the main text is illustrated with an application to surface ozone data from an irregularly distributed environmental monitoring network. It is useful to display the predicted covariances visually to convey the form of nonstationarity. Figure 1 shows nonstationary covariance structures of the surface ozone, obtai...

We develop a family of tractable models for UAV mobility. Based on system coupled stochastic differential equations, the resulting exhibit realistic trajectories and flexible covariance structures, making them suitable both small scale large applications. Closed form solutions steady state transient position distributions, as well covariance, are derived. These results subsequently used to obta...