4 papers
Hierarchical Topic Presence Models
Jason Wang, Robert E. Weiss
Topic models analyze text from a set of documents. Documents are modeled as a mixture of topics, with topics defined as probability distributions on words. Inferences of interest i…
Local and Global Topics in Text Modeling of Web Pages Nested in Web Sites
Jason Wang, Robert E. Weiss
Topic models are popular models for analyzing a collection of text documents. The models assert that documents are distributions over latent topics and latent topics are distributi…
Explaining the Decline of Child Mortality in 44 Developing Countries: A Bayesian Extension of Oaxaca Decomposition Methods
Antonio P. Ramos, Martin J. Flores, Leiwen Gao +2
We investigate the decline of infant mortality in 42 low and middle income countries (LMIC) using detailed micro data from 84 Demographic and Health Surveys. We estimate infant mor…
Measuring Within and Between Group Inequality in Early-Life Mortality Over Time: A Bayesian Approach with Application to India
Antonio P. Ramos, Robert E. Weiss
Most studies on inequality in infant and child mortality compare average mortality rates between large groups of births, for example, comparing births from different countries, inc…