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ags_for_hbprm

Code to implement the approximate Gibbs sampler for efficient inference of the hierarchical Bayesian model for grouped count data. The performance of the proposed sampler is compared against that of the start-of-the-art algorithm, the No-U-Turn-Sampler (NUTS) used by default in Stan.

coupled_power_transportation_network

demo_repo_for_data_science_course

icossar2021-networkresilienceassessment

Code for the ICOSSAR 2021 paper titled Comparing Topology-based and Flow-based Resilience Assessment of Interdependent Infrastructure Networks

intro-net-sci

materials for a few lectures on the course: introduction to network science

multiplex_recon

Code for the paper "Reconstructuring Sparse Multiplex Networks With Application to Covert Networks"

network_reconstruction

reconstruct network topology from steady states of the dynamical equation

nurse

power_restore_patterns

A GUI designed using tkinter to enable users to draw power restoration plots given the location and duration

rstan_code_hbkm

sbm-for-inter-nets

Code for the paper: Modeling Uncertain and Dynamic Interdependencies of Infrastructure Systems Using Stochastic Block Models (https://asmedigitalcollection.asme.org/risk/article/6/2/020906/1074939/Modeling-Uncertain-and-Dynamic-Interdependencies)

scale_mobility

scrapeweatherdatafromdarksky

Scrap power outage data and related weather data from different sources

stoch_program_inter_net