Search Results for author:
Found 4 papers, 3 papers with code
Extended Stochastic Block Models with Application to Criminal Networks
The coexistence of these noisy block patterns limits the reliability of routinely-used community detection algorithms, and requires extensions of model-based solutions to realistically characterize the node partition process, incorporate information from node attributes, and provide improved strategies for estimation and uncertainty quantification.
A generalized Bayes framework for probabilistic clustering
Several existing clustering algorithms, including k-means, can be interpreted as generalized Bayes estimators under our framework, and hence we provide a method of uncertainty quantification for these approaches.
A nested expectation-maximization algorithm for latent class models with covariates
We propose a novel nested expectation-maximization algorithm for latent class models with covariates which allows maximization of the full-model log-likelihood and, differently from current methods, is characterized by a monotone log-likelihood sequence.
Computation Methodology
Tractable Bayesian Density Regression via Logit Stick-Breaking Priors
There is an increasing interest in learning how the distribution of a response variable changes with a set of predictors.
Computation
