1 citations · 1 across the 6 of their papers we have counts for
6 papers
Multivariate distance matrix regression for a manifold-valued response variable
Matt Ryan, Gary Glonek, Melissa Humphries +1
In this paper, we propose the use of geodesic distances in conjunction with multivariate distance matrix regression, called geometric-MDMR, as a powerful first step analysis method…
Em-K Indexing for Approximate Query Matching in Large-scale ER
Samudra Herath, Matthew Roughan, Gary Glonek
Accurate and efficient entity resolution (ER) is a significant challenge in many data mining and analysis projects requiring integrating and processing massive data collections. It…
High Performance Out-of-sample Embedding Techniques for Multidimensional Scaling
Samudra Herath, Matthew Roughan, Gary Glonek
The recent rapid growth of the dimension of many datasets means that many approaches to dimension reduction (DR) have gained significant attention. High-performance DR algorithms a…
Simulating Name-like Vectors for Testing Large-scale Entity Resolution
Samudra Herath, Matthew Roughan, Gary Glonek
Accurate and efficient entity resolution (ER) has been a problem in data analysis and data mining projects for decades. In our work, we are interested in developing ER methods to h…
P-values, q-values and posterior probabilities for equivalence in genomics studies
J. Tuke, G. F. V. Glonek, P. J. Solomon
Equivalence testing is of emerging importance in genomics studies but has hitherto been little studied in this content. In this paper, we define the notion of equivalence of gene e…
Estimating Bayesian networks for high-dimensional data with complex mean structure and random effects
Jessica Kasza, Gary Glonek, Patty Solomon
The estimation of Bayesian networks given high-dimensional data, in particular gene expression data, has been the focus of much recent research. Whilst there are several methods av…