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- Statistical Research (United States)US25 papers
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8 papers · 1 filter
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…
How Many Directions Determine a Shape and other Sufficiency Results for Two Topological Transforms
Justin Curry, Sayan Mukherjee, Katharine Turner
In this paper we consider two topological transforms that are popular in applied topology: the Persistent Homology Transform (PHT) and the Euler Characteristic Transform (ECT). Bot…