3 papers
stat.ME2022
Combining Data from Surveys and Related Sources
Dexter Cahoy, Joseph Sedransk
To improve the precision of inferences and reduce costs there is considerable interest in combining data from several sources such as sample surveys and administrative data. Approp…
math.ST2019
On the definition of informative vs. ignorable nuisance process
Daniel Bonnery, Joseph Sedransk
This paper is an early version. We propose to generalise the notion of "ignoring" a random process as well as the notions of informative and ignorable random processes in a very ge…
stat.ME2018
Bayesian Predictive Inference For Finite Population Quantities Under Informative Sampling
Junheng Ma, Joe Sedransk, Balgobin Nandram +1
We investigate Bayesian predictive inference for finite population quantities when there are unequal probabilities of selection. Only limited information about the sample design is…