Advective skew dispersion is a natural Markov process defined ned
by a di ffusion with drift across an interface of jump discontinuity in
a piecewise constant diff usion coeffcient. In the absence of drift this
process may be represented as a function of -skew Brownian motion
for a uniquely determined...
We present a generalized estimating equations approach for estimating the concordance correlation coefficient and the
kappa coefficient from sample survey data. The estimates and their accompanying standard error need to correctly account
for the sampling design. Weighted measures of the concordance correlation coefficient and the kappa coefficient, along with
Analysis of stochastic models of networks is quite important in light of
the huge influx of network data in social, information and bio sciences, but
a proper statistical analysis of features of different stochastic models of networks
is still underway.We propose bootstrap subsampling methods for finding
empirical distribution of count...
We propose generalized additive partial linear models for complex data
which allow one to capture nonlinear patterns of some covariates, in the presence
of linear components. The proposed method improves estimation efficiency
and increases statistical power for correlated data through incorporating
the correlation information. A unique feature of the proposed...
This article concerns a systemic manifestation of small scale interfacial
heterogeneities in large scale quantities of interest to a variety of
diverse applications spanning the earth, biological and ecological sciences.
Beginning with formulations in terms of partial differential equations governing
the conservative, advective-dispersive transport of mass concentrations
in divergence form,...
The purpose of this note is to provide a coupling of weak limits in distribution of sequence of (normalized) multiplicative cascade measures under strong disorder in terms of the extremes of an associated branching random walk, assuming i.i.d positive, non-lattice bond weights and a second moment condition. The solution is...
The varying-coefficient model is flexible and powerful for modeling the dynamic changes of regression
coefficients. It is important to identify significant covariates associated with response
variables, especially for high-dimensional settings where the number of covariates can be larger
than the sample size. We consider model selection in the high-dimensional setting...
The detection and determination of clusters has been of special interest among re-
searchers from different fields for a long time. In particular, assessing whether the clusters
are significant is a question that has been asked by a number of experimenters. In Fuentes
and Casella (2009), the authors put forth...