192 citations · 426 across the 48 of their papers we have counts for
14 papers · 1 filter
Chunked-and-Averaged Estimators for Vector Parameters
Hien D. Nguyen, Geoffrey J. McLachlan
A divide-and-conquer method for parameter estimation is the chunked-and-averaged (CA) estimator. CA estimators have been studied for univariate parameters under independent and ide…
On approximations via convolution-defined mixture models
Hien D. Nguyen, Geoffrey J. McLachlan
An often-cited fact regarding mixing or mixture distributions is that their density functions are able to approximate the density function of any unknown distribution to arbitrary…
Whole-Volume Clustering of Time Series Data from Zebrafish Brain Calcium Images via Mixture Modeling
Hien D. Nguyen, Jeremy F. P. Ullmann, Geoffrey J. McLachlan +5
Calcium is a ubiquitous messenger in neural signaling events. An increasing number of techniques are enabling visualization of neurological activity in animal models via luminescen…
A block EM algorithm for multivariate skew normal and skew t-mixture models
Sharon X Lee, Kaleb L Leemaqz, Geoffrey J McLachlan
Finite mixtures of skew distributions provide a flexible tool for modelling heterogeneous data with asymmetric distributional features. However, parameter estimation via the Expect…
Faster Functional Clustering via Gaussian Mixture Models
Hien D Nguyen, Geoffrey J McLachlan, Jeremy F P Ullmann +1
Functional data analysis (FDA) is an important modern paradigm for handling infinite-dimensional data. An important task in FDA is model-based clustering, which organizes functiona…
Progress on a Conjecture Regarding the Triangular Distribution
Hien D Nguyen, Geoffrey J McLachlan
Triangular distributions are a well-known class of distributions that are often used as an elementary example of a probability model. Maximum likelihood estimation of the mode para…