Matrix-variate distributions can intuitively model the dependence structure of matrix-valued
observations that arise in applications with multivariate time series, spatio-temporal, or …

Differential privacy mechanism design has traditionally been tailored for a scalar-valued
query function. Although many mechanisms such as the Laplace and Gaussian mechanisms …

For the management of wind energy, wind speed forecasting is often required. Accurate
multi-step ahead wind speed forecasts make the power system be adjusted timely and …

The complex jagged trajectory of fractured surfaces of two pieces of forensic evidence is
used to recognize a “match” by using comparative microscopy and tactile pattern analysis …

The generalized asymmetric Laplace (GAL) distributions, also known as the variance/mean-
gamma models, constitute a popular flexible class of distributions that can account for …

Full article: On Inverted Matrix Variate Gamma Distribution Skip to Main Content Taylor and
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Visible light optical coherence tomography (vis-OCT) provides a unique tool for imaging
both structure and oxygen metabolism in ophthalmology. Working in visible light bandwidth …

In various environmental contexts, estimating the distribution of unobserved random vectors
X i from some noisy indirect observations H (X i)+ U i is required. If the relation between X i …

Building artificially intelligent geospatial systems require rapid delivery of spatial data
analysis at massive scales with minimal human intervention. Depending upon their intended …

We propose to estimate the weight matrix used for forecast reconciliation as parameters in a
general linear model in order to quantify its uncertainty. This implies that forecast …