5 papers
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…
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…
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…
Inverse stable prior for exponential models
Dexter Cahoy, Joseph Sedransk
We consider a class of non-conjugate priors as a mixing family of distributions for a parameter (e.g., Poisson or gamma rate, inverse scale or precision of an inverse-gamma, invers…
Discussion of "Impact of Frequentist and Bayesian Methods on Survey Sampling Practice: A Selective Appraisal" by J. N. K. Rao
J. Sedransk
This comment emphasizes the importance of model checking and model fitting when making inferences about finite population quantities. It also suggests the value of using unit level…