J. Sedransk

Mathematics · Physical Sciences

22h-index1.4kcitations112works0.02yr avg
OpenAlex↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Statistical Methods and Bayesian Inference(45), Bayesian Methods and Mixture Models(22), Survey Sampling and Estimation Techniques(17), Statistical Methods and Inference(14), Advanced Statistical Methods and Models(13)

Publications112 total

Improved Small Area Inference from Data Integration Using Global-Local Priors
arXiv (Cornell University)·2024Open Access
A Bayesian growth mixture model for complex survey data: Clustering postdisaster PTSD trajectories
The Annals of Applied Statistics·2023
Combining Data from Surveys and Related Sources
arXiv (Cornell University)·2022Open Access
metabup: Bayesian Meta-Analysis Using Basic Uncertain Pooling
2022Open Access
InvStablePrior: Inverse Stable Prior for Widely-Used Exponential Models
2022Open Access
Bayesian inference for asymptomatic COVID‐19 infection rates
Statistics in Medicine·2022· 4 citedOpen Access
Bayesian inference for asymptomatic COVID-19 infection rates
arXiv (Cornell University)·2022Open Access
Spatial Multilevel Modelling in the Galveston Bay Recovery Study Survey
ICSA book series in statistics·2022· 1 cited
An Introduction to Bayesian Inference for Finite Population Characteristics
Springer proceedings in mathematics & statistics·2022· 1 cited
Exploring the Use of Subpopulation Membership in Bayesian Hierarchical Model Assessment
Journal of Data Science·2021· 2 citedOpen Access
The Effect of Sample Composition on Inference for Random Effects Using Normal and Dirichlet Process Models
Journal of Data Science·2021Open Access
On the definition of informative vs. ignorable nuisance process
arXiv (Cornell University)·2019Open Access
Assessing health insurance coverage in Florida using the behavioral risk factor surveillance system
Statistics in Medicine·2019· 2 cited
Inverse Stable Prior for Exponential Models
Journal of Statistical Theory and Practice·2019Open Access
Modeling Random Effects Using Global–Local Shrinkage Priors in Small Area Estimation
Journal of the American Statistical Association·2018· 32 citedOpen Access
Bayesian testing for independence of two categorical variables under two-stage cluster sampling with covariates
Journal of Applied Statistics·2018· 2 cited
Modeling Random Effects Using Global-Local Shrinkage Priors in Small Area Estimation
Figshare·2018Open Access
Modeling Random Effects Using Global–Local Shrinkage Priors in Small Area Estimation
Figshare·2018Open Access
Approaches to Improving Survey-Weighted Estimates
Statistical Science·2017· 32 cited
MATCHING AND LINEAR REGRESSION ADJUSTMENT IN IMPUTATION AND OBSERVATIONAL STUDIES
2016
page 1 of 6Next →

Frequent Co-authors

Donald Malec(7), Balgobin Nandram(6), Jann-Huei Jinn(3), Philip J Smith(3), N. Sedransk(2), P. S. R. S. Rao(2), Linda Williams Pickle(2), Ruolin Wang(2), Malay Ghosh(2), H. Y. Chiu(2), Anthony R. Olsen(1), Don Edwards(1), Carol A. Gotway(1), Walter Liggett(1), Stephen L. Rathbun(1), Kenneth H. Reckhow(1), Linda J. Young(1), Christopher L. Moriarity(1), Felicia LeClere(1), John Sigmund Meyer(1)