Prognostic and health management (PHM) plays a vital role in ensuring the safety and
reliability of aircraft systems. The process entails the proactive surveillance and evaluation of …

Fisheries scientists provide stock, ecosystem, habitat, and climate assessments to support
interdisplinary fisheries management in the US and worldwide. These assessment activities …

A fundamental decision to make during the analysis of geostatistical data is the modeling of
the spatial dependence structure as stationary or non-stationary. Although second-order …

The right time application of the right amount of input is a prerequisite to optimizing
profitability and sustainability with a lesser impact on environmental degradation. Such can …

Engineering systems can often be represented considering models at multiple levels.
Different properties within each level are typically inhomogeneous in space and cross …

Gridded data products, for example interpolated daily measurements of precipitation from
weather stations, are commonly used as a convenient substitute for direct observations …

Gaussian process regression is a widely applied method for function approximation and
uncertainty quantification. The technique has recently gained popularity in the machine …

Analyzing spatial data often requires modeling dependencies created by a dynamic spatio-
temporal data generating process. In many applications, a generalized linear mixed model …

In many environmental applications involving spatially-referenced data, limitations on the
number and locations of observations motivate the need for practical and efficient models for …

In this paper, a new model for second order non-stationary random functions as a
convolution of an orthogonal random measure with a spatially varying random weighting …