7 papers
Convergence fragility in probit Bayesian kernel machine regression implemented in the bkmr R package for binary-outcome environmental mixture analyses: a simulation study
Akifumi Eguchi, Takayuki Kawashima, Tomotaka Momozaki +1
Background. Bayesian kernel machine regression (BKMR) is widely used for exposure-mixture analyses with binary outcomes through a probit extension. Because a bkmr fit can complete…
The Covariate-Assisted Bayesian Intransitive Bradley-Terry Model via Combinatorial Hodge Theory
Hisaya Okahara, Tomoyuki Nakagawa, Shonosuke Sugasawa
Pairwise comparison data are widely used to recover latent rankings, yet the models in dominant use assume stochastic transitivity. When preferences are in fact intransitive, a sin…
Robust Spatio-Temporal Distributional Regression
Tomotaka Momozaki, Shonosuke Sugasawa, Tomoyuki Nakagawa +2
Motivated by investigating spatio-temporal patterns of the distribution of continuous variables, we consider describing the conditional distribution function of the response variab…
Sampling from density power divergence-based generalized posterior distribution via stochastic optimization
Naruki Sonobe, Tomotaka Momozaki, Tomoyuki Nakagawa
Robust Bayesian inference using density power divergence (DPD) has emerged as a promising approach for handling outliers in statistical estimation. Although the DPD-based posterior…
General Bayesian inference for causal effects using covariate balancing procedure
Shunichiro Orihara, Tomotaka Momozaki, Tomoyuki Nakagawa
In observational studies, the propensity score plays a central role in estimating causal effects of interest. The inverse probability weighting (IPW) estimator is commonly used for…
Semiparametric Copula Estimation for Spatially Correlated Multivariate Mixed Outcomes: Analyzing Visual Sightings of Fin Whales from a Line Transect Survey
Tomotaka Momozaki, Tomoyuki Nakagawa, Shonosuke Sugasawa +1
For marine biologists, ascertaining the dependence structures between marine species and marine environments, such as sea surface temperature and ocean depth, is imperative for def…
Nonparametric Bayesian Adjustment of Unmeasured Confounders in Cox Proportional Hazards Models
Shunichiro Orihara, Shonosuke Sugasawa, Tomohiro Ohigashi +2
In observational studies, unmeasured confounders present a crucial challenge in accurately estimating desired causal effects. To calculate the hazard ratio (HR) in Cox proportional…