49 citations · 90 across the 5 of their papers we have counts for
5 papers
Predicting COVID-19 hospitalisation using a mixture of Bayesian predictive syntheses
Genya Kobayashi, Shonosuke Sugasawa, Yuki Kawakubo +2
This paper proposes a novel methodology called the mixture of Bayesian predictive syntheses (MBPS) for multiple time series count data for the challenging task of predicting the nu…
Use of Cross-validation Bayes Factors to Test Equality of Two Densities
Jeffery Hart, Taeryon Choi, Naveed Merchant
We propose a non-parametric, two-sample Bayesian test for checking whether or not two data sets share a common distribution. The test makes use of data splitting ideas and does not…
Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian-Wishart processes
Jingjing Yang, Dennis D. Cox, Jong Soo Lee +2
Functional data are defined as realizations of random functions (mostly smooth functions) varying over a continuum, which are usually collected with measurement errors on discretiz…
Smoothing and mean-covariance estimation of functional data with a Bayesian hierarchical model
Jingjing Yang, Hongxiao Zhu, Taeryon Choi +1
Functional data, with basic observational units being functions (e.g., curves, surfaces) varying over a continuum, are frequently encountered in various applications. While many st…
Remarks on consistency of posterior distributions
Taeryon Choi, R. V. Ramamoorthi
In recent years, the literature in the area of Bayesian asymptotics has been rapidly growing. It is increasingly important to understand the concept of posterior consistency and va…