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12/14/2022
Robust Distributional Regression with Automatic Variable Selection
Datasets with extreme observations and/or heavy-tailed error distributio...
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07/09/2022
A Statistically-Based Approach to Feedforward Neural Network Model Selection
Feedforward neural networks (FNNs) can be viewed as non-linear regressio...
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01/17/2022
Process Visualization of Manufacturing Execution System (MES) Data
Process visualizations of data from manufacturing execution systems (MES...
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11/16/2021
Multi-Parameter Regression Survival Modelling with Random Effects
We consider a parametric modelling approach for survival data where cova...
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10/06/2021
Variable Selection Using a Smooth Information Criterion for Multi-Parameter Regression Models
Modern variable selection procedures make use of penalization methods to...
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09/06/2021
Binomial confidence intervals for rare events: importance of defining margin of error relative to magnitude of proportion
Confidence interval performance is typically assessed in terms of two cr...
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08/07/2019
A modelling methodology for social interaction experiments
Analysis of temporal network data arising from online interactive social...
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07/31/2019
An Alternative Formulation of Coxian Phase-type Distributions with Covariates: Application to Emergency Department Length of Stay
In this paper we present a new methodology to model patient transitions ...
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07/02/2019
Penalized Variable Selection in Multi-Parameter Regression Survival Modelling
Multi-parameter regression (MPR) modelling refers to the approach whereb...
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01/28/2019
A Multi-parameter regression model for interval censored survival data
We develop flexible multi-parameter regression survival models for inter...
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01/15/2019
Semiparametric multi-parameter regression survival modelling
We consider a log-linear model for survival data, where both the locatio...
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01/12/2019
On the Non-uniqueness of Representations of Coxian Phase-Type Distributions
Parameter estimation in Coxian phase-type models can be challenging due ...
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01/10/2019
Multi-Parameter Regression Survival Modelling: An Alternative to Proportional Hazards
It is standard practice for covariates to enter a parametric model throu...
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01/10/2019
A Flexible Parametric Modelling Framework for Survival Analysis
We introduce a general, flexible, parametric survival modelling framewor...
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01/10/2019
A Bivariate Power Generalized Weibull Distribution: a Flexible Parametric Model for Survival Analysis
We are concerned with the flexible parametric analysis of bivariate surv...
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12/13/2018
