9 citations · 10 across the 7 of their papers we have counts for
8 papers
High-Performance Statistical Computing (HPSC): Challenges, Opportunities, and Future Directions
Sameh Abdulah, Mary Lai O. Salvana, Ying Sun +2
We recognize the emergence of a statistical computing community focused on working with large computing platforms and producing software and applications that exemplify high-perfor…
A Self-Organized Criticality Model of Extreme Events and Cascading Disasters of Hub and Spoke Air Traffic Networks
Mary Lai O. Salvaña, Harold Jay M. Bolingot, Gregory L. Tangonan
Critical infrastructure networks--including transportation, power grids, and communication systems--exhibit complex interdependencies that can lead to cascading failures with catas…
Predicting Power Grid Failures Using Self-Organized Criticality: A Case Study of the Texas Grid 2014-2022
Mary Lai O. Salvaña, Gregory L. Tangonan
This study develops a novel predictive framework for power grid vulnerability based on the statistical signatures of Self-Organized Criticality (SOC). By analyzing the evolution of…
Multi-Hazard Bayesian Hierarchical Model for Damage Prediction
Mary Lai O. Salvaña
A fundamental theoretical limitation undermines current disaster risk models: existing approaches suffer from two critical constraints. First, conventional damage prediction models…
MPCR: Multi-Precision Computations Package in R
Mary Lai O. Salvana, Sameh Abdulah, Minwoo Kim +3
In the early days of computing, severe memory constraints made it necessary to use lower floating-point precision. As hardware capabilities have advanced, modern systems, particula…
3D Bivariate Spatial Modelling of Argo Ocean Temperature and Salinity
Mary Lai Salvana, Jian Cao, Mikyoung Jun
Variables contained within the global oceans can detect and reveal the effects of the warming climate as the oceans absorb huge amounts of solar energy. Hence, information regardin…
Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections
Mary Lai O. Salvaña, Amanda Lenzi, Marc G. Genton
When analyzing the spatio-temporal dependence in most environmental and earth sciences variables such as pollutant concentrations at different levels of the atmosphere, a special p…
High Performance Multivariate Geospatial Statistics on Manycore Systems
Mary Lai O. Salvaña, Sameh Abdulah, Huang Huang +4
Modeling and inferring spatial relationships and predicting missing values of environmental data are some of the main tasks of geospatial statisticians. These routine tasks are acc…