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08/24/2023
General Covariance-Based Conditions for Central Limit Theorems with Dependent Triangular Arrays
We present a general central limit theorem with simple, easy-to-check co...
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05/07/2023
The Role of Scaling and Estimating the Degree Ratio in the Network Scale-up Method
The Network Scale-up Method (NSUM) uses social networks and answers to "...
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03/13/2023
Comparing the Robustness of Simple Network Scale-Up Method (NSUM) Estimators
The network scale-up method (NSUM) is a cost-effective approach to estim...
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02/21/2023
Bayesian Age Category Reconciliation for Age- and Cause-specific Under-five Mortality Estimates
Age-disaggregated health data is crucial for effective public health pla...
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10/26/2022
Bayesian Hyperbolic Multidimensional Scaling
Multidimensional scaling (MDS) is a widely used approach to representing...
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09/16/2021
The openVA Toolkit for Verbal Autopsies
Verbal autopsy (VA) is a survey-based tool widely used to infer cause of...
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06/17/2021
Spectral goodness-of-fit tests for complete and partial network data
Networks describe the, often complex, relationships between individual a...
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06/08/2021
Inference for Network Regression Models with Community Structure
Network regression models, where the outcome comprises the valued edge i...
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12/19/2020
Identifying the latent space geometry of network models through analysis of curvature
Statistically modeling networks, across numerous disciplines and context...
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03/01/2020
A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data
In order to implement disease-specific interventions in young age groups...
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11/13/2019
Anomaly Detection in Large Scale Networks with Latent Space Models
We develop a real-time anomaly detection algorithm for directed activity...
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08/26/2019
Consistently estimating graph statistics using Aggregated Relational Data
Aggregated Relational Data, known as ARD, capture information about a so...
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03/30/2019
Estimating spillovers using imprecisely measured networks
In many experimental contexts, whether and how network interactions impa...
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07/16/2018
Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel
Dáil Éireann is the principal chamber of the Irish parliament. The 31st ...
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05/18/2018
Bayesian Joint Spike-and-Slab Graphical Lasso
In this article, we propose a new class of priors for Bayesian inference...
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03/06/2018
Quantifying the Contributions of Training Data and Algorithm Logic to the Performance of Automated Cause-assignment Algorithms for Verbal Autopsy
A verbal autopsy (VA) consists of a survey with a relative or close cont...
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03/04/2018
Bayesian factor models for probabilistic cause of death assessment with verbal autopsies
The distribution of deaths by cause provides crucial information for pub...
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11/02/2017
Bayesian latent Gaussian graphical models for mixed data with marginal prior information
Associations between variables of mixed types are of interest in a varie...
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09/20/2017
An Expectation Conditional Maximization approach for Gaussian graphical models
Bayesian graphical models are a useful tool for understanding dependence...
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11/05/2015
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
We aim to produce predictive models that are not only accurate, but are ...
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04/27/2015