5 citations · 10 across the 9 of their papers we have counts for
10 papers
Scalable Bayesian Spatial Mixture Modelling for Remote Sensing Image Segmentation
Bao Khanh Nguyen, Iain Cameron, Cecilia Balocchi +1
Accurate and scalable land cover classification is essential for global conservation monitoring and policy-making. While remote sensing images provide a cost-effective alternative…
Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods
Francesco Denti, Cecilia Balocchi, Vanna Denti +1
Matrix-Assisted Laser Desorption/Ionisation Mass Spectrometry Imaging (MSI) is a powerful technique for spatially resolved molecular profiling and cancer biomarker discovery. Recen…
Beyond point estimation: explaining the posterior in Bayesian cluster analysis
Cecilia Balocchi, Sara Wade
The Bayesian approach to clustering is often appreciated for its ability to provide uncertainty in the partition structure. However, summarising the posterior distribution over par…
A Bayesian Nonparametric Approach to Species Sampling Problems with Ordering
Cecilia Balocchi, Federico Camerlenghi, Stefano Favaro
Species-sampling problems (SSPs) refer to a vast class of statistical problems calling for the estimation of (discrete) functionals of the unknown species composition of an unobser…
Bayesian Nonparametric Inference for "Species-sampling" Problems
Cecilia Balocchi, Stefano Favaro, Zacharie Naulet
Given an observed sample from a population of individuals belonging to species, "species-sampling" problems (SSPs) call for estimating some features of the unknown species composit…
Clustering Areal Units at Multiple Levels of Resolution to Model Crime in Philadelphia
Cecilia Balocchi, Edward I. George, Shane T. Jensen
Estimation of the spatial heterogeneity in crime incidence across an entire city is an important step towards reducing crime and increasing our understanding of the physical and so…
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…
VCBART: Bayesian trees for varying coefficients
Sameer K. Deshpande, Ray Bai, Cecilia Balocchi +2
The linear varying coefficient models posits a linear relationship between an outcome and covariates in which the covariate effects are modeled as functions of additional effect mo…
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…