Paul McNicholas

Professor

McMaster University

Canada

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Paul McNicholas is a Professor at McMaster University in Canada. His research focuses on advanced statistical methods, particularly in clustering and mixture models, as evidenced by his recent works on skewed mixed-type data, unbalanced longitudinal data, and Gaussian model-based clustering. He also investigates the relationship between physical activity and emotional intelligence in children, contributing to interdisciplinary studies in statistics and health.

Paul McNicholas

Research Interests

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Articles (16)

A mixture model for skewed mixed-type data

Unbalanced Longitudinal Data Clustering with a Copula Kernel Mixture Model

Balanced longitudinal data clustering with a copula kernel mixture model

Flexible Clustering with a Sparse Mixture of Generalized Hyperbolic Distributions

The association of physical activity duration and intensity on emotional intelligence in 10–13 year-old Children

Finding Outliers in Gaussian Model-based Clustering

Model-Based Clustering and Classification Using Mixtures of Multivariate Skewed Power Exponential Distributions

Clustering and semi‐supervised classification for clickstream data via mixture models

Mixtures of Matrix-Variate Contaminated Normal Distributions

Clustering discrete-valued time series

Identification of five important genes to predict glioblastoma subtypes

Mixtures of Hidden Truncation Hyperbolic Factor Analyzers

Detecting British Columbia coastal rainfall patterns by clustering Gaussian processes

Modeling frequency and severity of claims with the zero-inflated generalized cluster-weighted models

Mixtures of skewed matrix variate bilinear factor analyzers

Flexible High-Dimensional Unsupervised Learning with Missing Data

Collaborators (3)

Utkarsh Dang

Antonio Punzo

Ryan Browne

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