50 citations
- Statistical Research (United States)US25 papers
- Duke UniversityUS7 papers
- Royal Statistical SocietyGB6 papers
- University College LondonGB5 papers
- Cornell UniversityUS3 papers
- University of CambridgeGB3 papers
- University of TorontoCA3 papers
- University of MichiganUS2 papers
- Australian Mathematical Sciences InstituteAU1 paper
- Australian National UniversityAU1 paper
- Avon (United States)US1 paper
- Broad InstituteUS1 paper
32 papers
Degrees-of-Freedom Approximations for Conditional-Mean Inference in Random-Lot Stability Analysis
Andrew T. Karl, Heath Rushing, Richard K. Burdick +1
Linear mixed models are widely used for pharmaceutical stability trending when sufficient lots are available. Expiry support is often based on whether lot-specific conditional-mean…
Subspace Clustering through Sub-Clusters
Weiwei Li, Jan Hannig, Sayan Mukherjee
The problem of dimension reduction is of increasing importance in modern data analysis. In this paper, we consider modeling the collection of points in a high dimensional space as…
Bayesian Semi-supervised Learning with Graph Gaussian Processes
Yin Cheng Ng, Nicolo Colombo, Ricardo Silva
We propose a data-efficient Gaussian process-based Bayesian approach to the semi-supervised learning problem on graphs. The proposed model shows extremely competitive performance w…
A Practical Approach to Proper Inference with Linked Data
Andee Kaplan, Brenda Betancourt, Rebecca C. Steorts
Entity resolution (ER), comprising record linkage and de-duplication, is the process of merging noisy databases in the absence of unique identifiers to remove duplicate entities. O…
How effective is your blinding?
Anil Gore, Sharayu Paranjpe
This report answers queries about extending the blinding index approach to a situation with measurements at multiple time points. The key question is how to test if there is progre…
Conditional and marginal relative risk parameters for a class of recursive regression graph models
Monia Lupparelli
In linear regression modelling the distortion of effects after marginalizing over variables of the conditioning set has been widely studied in several contexts. For Gaussian variab…