66 citations · 91 across the 8 of their papers we have counts for
8 papers
Implementing Bayesian inference on a stochastic CO2-based grey-box model for assessing indoor air quality in Canadian primary schools
Shujie Yan, Jiwei Zou, Chang Shu +11
The COVID-19 pandemic brought global attention to indoor air quality (IAQ), which is intrinsically linked to clean air change rates. Estimating the air change rate in indoor enviro…
A Deep Learning-based Velocity Dealiasing Algorithm Derived from the WSR-88D Open Radar Product Generator
Mark S. Veillette, James M. Kurdzo, Phillip M. Stepanian +3
Radial velocity estimates provided by Doppler weather radar are critical measurements used by operational forecasters for the detection and monitoring of life-impacting storms. The…
Distributed Deep Learning for Precipitation Nowcasting
Siddharth Samsi, Christopher J. Mattioli, Mark S. Veillette
Effective training of Deep Neural Networks requires massive amounts of data and compute. As a result, longer times are needed to train complex models requiring large datasets, whic…
Properties and numerical evaluation of the Rosenblatt distribution
Mark S. Veillette, Murad S. Taqqu
This paper studies various distributional properties of the Rosenblatt distribution. We begin by describing a technique for computing the cumulants. We then study the expansion of…
Berry-Esseen and Edgeworth approximations for the tail of an infinite sum of weighted gamma random variables
Mark S. Veillette, Murad S. Taqqu
Consider the sum , where are i.i.d.~gamma random variables with shape parameter , and the 's are predetermined we…
Distribution functions of Poisson random integrals: Analysis and computation
Mark S. Veillette, Murad S. Taqqu
We want to compute the cumulative distribution function of a one-dimensional Poisson stochastic integral $I(\krnl) = \displaystyle \int_0^T \krnl(s) N(ds)$, where is a Poisson…