Kevin Burke | DeepAI

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Featured Co-authors

Valentin Patilea
12 publications
Michael Quayle
3 publications
Il Do Ha
3 publications
Meadhbh O'Neill
3 publications
M. C. Jones
3 publications
Fatima-Zahra Jaouimaa
2 publications
Gilbert MacKenzie
2 publications
Angela Noufaily
2 publications
James P. Gleeson
2 publications
Frank Eriksson
2 publications
Jean Rizk
2 publications

∙ 12/14/2022

Robust Distributional Regression with Automatic Variable Selection

Datasets with extreme observations and/or heavy-tailed error distributio...

0 Meadhbh O'Neill, et al. ∙

∙ 07/09/2022

A Statistically-Based Approach to Feedforward Neural Network Model Selection

Feedforward neural networks (FNNs) can be viewed as non-linear regressio...

0 Andrew McInerney, et al. ∙

∙ 01/17/2022

Process Visualization of Manufacturing Execution System (MES) Data

Process visualizations of data from manufacturing execution systems (MES...

0 Meadhbh O'Neill, et al. ∙

∙ 11/16/2021

Multi-Parameter Regression Survival Modelling with Random Effects

We consider a parametric modelling approach for survival data where cova...

0 Fatima-Zahra Jaouimaa, et al. ∙

∙ 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...

0 Meadhbh O'Neill, et al. ∙

∙ 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...

0 Owen McGrath, et al. ∙

∙ 08/07/2019

A modelling methodology for social interaction experiments

Analysis of temporal network data arising from online interactive social...

0 Susan C. Fennell, et al. ∙

∙ 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 ...

0 Jean Rizk, et al. ∙

∙ 07/02/2019

Penalized Variable Selection in Multi-Parameter Regression Survival Modelling

Multi-parameter regression (MPR) modelling refers to the approach whereb...

0 Fatima-Zahra Jaouimaa, et al. ∙

∙ 01/28/2019

A Multi-parameter regression model for interval censored survival data

We develop flexible multi-parameter regression survival models for inter...

0 Defen Peng, et al. ∙

∙ 01/15/2019

Semiparametric multi-parameter regression survival modelling

We consider a log-linear model for survival data, where both the locatio...

0 Kevin Burke, et al. ∙

∙ 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 ...

0 Jean Rizk, et al. ∙

∙ 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...

0 Kevin Burke, et al. ∙

∙ 01/10/2019

A Flexible Parametric Modelling Framework for Survival Analysis

We introduce a general, flexible, parametric survival modelling framewor...

0 Kevin Burke, et al. ∙

∙ 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...

0 M. C. Jones, et al. ∙

∙ 12/13/2018

Penalized maximum likelihood for cure regression models

We propose a new likelihood approach for estimation, inference and varia...

0 Kevin Burke, et al. ∙

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