7 citations · 12 across the 7 of their papers we have counts for
7 papers
Multi-layered model-based characterisation of the local-Universe galaxy data from the GAMA survey
Fan Dai, Ranjan Maitra, Ivan K. Baldry
Understanding the formation and evolution of galaxy populations requires robust classification and characterisation techniques that jointly account for internal galaxy properties a…
Boxplots and quartile plots for grouped and periodic angular data
Joshua D. Berlinski, Fan Dai, Ranjan Maitra
Angular observations, or observations lying on the unit circle, arise in many disciplines and require special care in their description, analysis, interpretation and visualization.…
Latent characterisation of the complete BATSE gamma ray bursts catalogue using Gaussian mixture of factor analysers and model-estimated overlap-based syncytial clustering
Fan Dai, Ranjan Maitra
Characterising and distinguishing gamma-ray bursts (GRBs) has interested astronomers for many decades. While some authors have found two or three groups of GRBs by analyzing only a…
Exploratory Factor Analysis of Data on a Sphere
Fan Dai, Karin S. Dorman, Somak Dutta +1
Data on high-dimensional spheres arise frequently in many disciplines either naturally or as a consequence of preliminary processing and can have intricate dependence structure tha…
Fully Three-dimensional Radial Visualization
Yifan Zhu, Fan Dai, Ranjan Maitra
We develop methodology for three-dimensional (3D) radial visualization (RadViz) of multidimensional datasets. The classical two-dimensional (2D) RadViz visualizes multivariate data…
A Matrix--free Likelihood Method for Exploratory Factor Analysis of High-dimensional Gaussian Data
Fan Dai, Somak Dutta, Ranjan Maitra
This paper proposes a novel profile likelihood method for estimating the covariance parameters in exploratory factor analysis of high-dimensional Gaussian datasets with fewer obser…
Visualization of Labeled Mixed-featured Datasets
Yifan Zhu, Fan Dai, Ranjan Maitra
We develop methodology for visualization of labeled mixed-featured datasets. We first investigate datasets with continuous features where our Max-Ratio Projection (MRP) method util…