User profiles for Garth Tarr

Garth Tarr

Associate Professor, University of Sydney, Australia
Verified email at sydney.edu.au
Cited by 662

Robust estimation of precision matrices under cellwise contamination

G Tarr, S Müller, NC Weber - Computational Statistics & Data Analysis, 2016 - Elsevier
There is a great need for robust techniques in data mining and machine learning contexts
where many standard techniques such as principal component analysis and linear …

Machine learning applications in time series hierarchical forecasting

M Abolghasemi, RJ Hyndman, G Tarr… - arXiv preprint arXiv …, 2019 - arxiv.org
Hierarchical forecasting (HF) is needed in many situations in the supply chain (SC) because
managers often need different levels of forecasts at different levels of SC to make a decision…

Small sample performance of quantile regression confidence intervals

G Tarr - Journal of Statistical Computation and Simulation, 2012 - Taylor & Francis
Since the introduction of regression quantiles for estimating conditional quantile functions
there has been ongoing research into how best to construct confidence intervals for parameter …

Relationships between marbling measures across principal muscles

M Konarska, K Kuchida, G Tarr, RJ Polkinghorne - Meat science, 2017 - Elsevier
As marbling is a principal input into many grading systems it is important to have an
accurate and reliable measurement procedure. This paper compares three approaches to …

Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion

M Abolghasemi, E Beh, G Tarr, R Gerlach - Computers & Industrial …, 2020 - Elsevier
The demand for a particular product or service is typically associated with different uncertainties
that can make them volatile and challenging to predict. Demand unpredictability is one …

Measuring the effects of peer learning on students' academic achievement in first-year business statistics

D Dancer, K Morrison, G Tarr - Studies in Higher Education, 2015 - Taylor & Francis
Peer-assisted study session (PASS) programs have been shown to positively affect students'
grades in a majority of studies. This study extends that analysis in two ways: controlling for …

Machine learning applications in hierarchical time series forecasting: Investigating the impact of promotions

M Abolghasemi, G Tarr, C Bergmeir - International Journal of Forecasting, 2022 - Elsevier
Hierarchical forecasting is needed in many situations in the supply chain to support decision
making. Top-down, bottom-up, and optimal linear combination methods are common in …

Methodology for data processing and analysis techniques of infrared video thermography used to measure cattle temperature in real time

H Cuthbertson, G Tarr, LA González - Computers and electronics in …, 2019 - Elsevier
Core body temperature is a measurement used to evaluate and diagnose the health status
of cattle, with rectal temperature measured using an indwelling probe being the preferred …

[HTML][HTML] The impact of pre-slaughter stress on beef eating quality

KMW Loudon, G Tarr, IJ Lean, R Polkinghorne… - Animals, 2019 - mdpi.com
Simple Summary Consumer satisfaction is essential to the beef industry to ensure return
protein purchasing. The Meat Standards Australia grading system has been pivotal in …

[HTML][HTML] The use of biochemical measurements to identify pre-slaughter stress in pasture finished beef cattle

KMW Loudon, G Tarr, DW Pethick, IJ Lean… - Animals, 2019 - mdpi.com
Simple Summary Producing a product that delivers a consistently high-quality eating experience
is paramount to the Australian beef industry to ensure consumer satisfaction and return …