6 citations · 8 across the 5 of their papers we have counts for
6 papers
Bayesian analysis of verbal autopsy data using factor models with age- and sex-dependent associations between symptoms
Tsuyoshi Kunihama, Zehang Richard Li, Samuel J. Clark +1
Verbal autopsies (VAs) are extensively used to investigate the population-level distributions of deaths by cause in low-resource settings without well-organized vital statistics sy…
Bayesian factor models for probabilistic cause of death assessment with verbal autopsies
Tsuyoshi Kunihama, Zehang Richard Li, Samuel J. Clark +1
The distribution of deaths by cause provides crucial information for public health planning, response, and evaluation. About 60% of deaths globally are not registered or given a ca…
Nonparametric Bayes models for mixed-scale longitudinal surveys
Tsuyoshi Kunihama, Carolyn T. Halpern, Amy H. Herring
Modeling and computation for multivariate longitudinal surveys have proven challenging, particularly when data are not all continuous and Gaussian but contain discrete measurements…
Nonparametric Bayes modeling with sample survey weights
T. Kunihama, A. H. Herring, C. T. Halpern +1
In population studies, it is standard to sample data via designs in which the population is divided into strata, with the different strata assigned different probabilities of inclu…
Nonparametric Bayes inference on conditional independence
Tsuyoshi Kunihama, David B. Dunson
In broad applications, it is routinely of interest to assess whether there is evidence in the data to refute the assumption of conditional independence of and conditionally…
Bayesian modeling of temporal dependence in large sparse contingency tables
Tsuyoshi Kunihama, David B. Dunson
In many applications, it is of interest to study trends over time in relationships among categorical variables, such as age group, ethnicity, religious affiliation, political party…