341 citations · 343 across the 8 of their papers we have counts for
10 papers
Dimension reduction of compositional data through mixtures of latent source compositions
Hyeon Lee, J. S. Marron, Eric Grunsky +1
Understanding the distribution of mineral compositions is an important challenge in geology. This motivates new variations on dimension reduction for compositional data, lying on a…
Robust Estimation of Location in Matrix Manifolds Using the Projected Frobenius Median
Houren Hong, Kassel Liam Hingee, Janice L. Scealy +1
We propose a robust method for location estimation in various matrix manifolds based on the projected Frobenius median, which is closely related to the spatial median. This method…
Regression for spherical responses with linear and spherical covariates using a scaled link function
Shogo Kato, Kassel L. Hingee, Janice L. Scealy +1
We propose a regression model in which the responses are spherical variables and the covariates include linear and/or spherical variables. A novel link function is introduced by ex…
Principal Subsimplex Analysis
Hyeon Lee, Kassel Liam Hingee, Janice L. Scealy +3
Compositional data, which are data that lie in a simplex, naturally arise in many scientific domains such as geochemistry, microbiology, and economics. In such domains, obtaining s…
A Robust Extrinsic Single-index Model for Spherical Data
Houren Hong, Janice L. Scealy, Andrew T. A. Wood +1
Regression with a spherical response is challenging due to the absence of linear structure, making standard regression models inadequate. Existing methods, mainly parametric, lack…
Robust score matching for compositional data
Janice L. Scealy, Kassel L. Hingee, John T. Kent +1
The restricted polynomially-tilted pairwise interaction (RPPI) distribution gives a flexible model for compositional data. It is particularly well-suited to situations where some o…
Generalized Score Matching
Jiazhen Xu, Janice L. Scealy, Andrew T. A. Wood +1
Score matching is an estimation procedure that has been developed for statistical models whose probability density function is known up to proportionality but whose normalizing con…
Generalized Score Matching for Regression
Jiazhen Xu, Janice L. Scealy, Andrew T. A. Wood +1
Many probabilistic models that have an intractable normalizing constant may be extended to contain covariates. Since the evaluation of the exact likelihood is difficult or even imp…
Score matching for compositional distributions
Janice L. Scealy, Andrew T. A. Wood
Compositional data and multivariate count data with known totals are challenging to analyse due to the non-negativity and sum-to-one constraints on the sample space. It is often th…
Model Selection in Linear Mixed Models
Samuel Müller, J. L. Scealy, A. H. Welsh
Linear mixed effects models are highly flexible in handling a broad range of data types and are therefore widely used in applications. A key part in the analysis of data is model s…