13 citations · 27 across the 4 of their papers we have counts for
4 papers
On Information About Covariance Parameters in Gaussian Matérn Random Fields
Victor De Oliveira, Zifei Han
The Matern family of covariance functions is currently the most commonly used for the analysis of geostatistical data due to its ability to describe different smoothness behaviors.…
A Study on the Power Parameter in Power Prior Bayesian Analysis
Zifei Han, Keying Ye, Min Wang
The power prior and its variations have been proven to be a useful class of informative priors in Bayesian inference due to their flexibility in incorporating the historical inform…
Normalized Power Prior Bayesian Analysis
Keying Ye, Zifei Han, Yuyan Duan +1
The elicitation of power priors, based on the availability of historical data, is realized by raising the likelihood function of the historical data to a fractional power δ, which…
Approximate Reference Prior for Gaussian Random Fields
Victor De Oliveira, Zifei Han
Reference priors are theoretically attractive for the analysis of geostatistical data since they enable automatic Bayesian analysis and have desirable Bayesian and frequentist prop…