5 citations · 10 across the 9 of their papers we have counts for
3 papers · 1 filter
Quantifying patient and neighborhood risks for stillbirth and preterm birth in Philadelphia with a Bayesian spatial model
Cecilia Balocchi, Ray Bai, Jessica Liu +4
Stillbirth and preterm birth are major public health challenges. Using a Bayesian spatial model, we quantified patient-specific and neighborhood risks of stillbirth and preterm bir…
Crime in Philadelphia: Bayesian Clustering with Particle Optimization
Cecilia Balocchi, Sameer K. Deshpande, Edward I. George +1
Accurate estimation of the change in crime over time is a critical first step towards better understanding of public safety in large urban environments. Bayesian hierarchical model…
Spatial Modeling of Trends in Crime over Time in Philadelphia
Cecilia Balocchi, Shane T. Jensen
Understanding the relationship between change in crime over time and the geography of urban areas is an important problem for urban planning. Accurate estimation of changing crime…