## Search

Now showing items 1-10 of 34

#### Corticosteroids and Insulin Resistance in the ICU

(University of Canterbury. Mechanical Engineering, 2009)

Corticosteroids reduce insulin sensitivity in healthy individuals by 30- 62-percent. The aim of this research was to use model-based methods to determine whether this reduction is also true in critically
ill patients and ...

#### Performing a Quantitative Microbial Risk Analysis Using Second-Order Monte Carlo Simulation

(University of Canterbury. Mathematics and Statistics, 2009)

Quantitative microbial risk analysis modelling is increasingly being used in food safety as a tool to evaluate health risks. Accurately forming such models can be very difficult due to the uncertainty in the available data. ...

#### Comparison of Identification Methods of a Time-varying Insulin Sensitivity Parameter in a Simulation Model of Glucose Metabolism in the Critically Ill

(University of Canterbury. Mechanical Engineering, 2009)

Models of glucose metabolism can help to simulate and predict the blood glucose
response in hyperglycaemic, critically ill patients. Model prediction performance depends on a su ciently accurate estimation of the patient's ...

#### Calculation of fix-rate bias for automated telemetry systems

(University of Canterbury. Mathematics and Statistics, 2009)

#### Identification of Changes in Mean with Regression Trees: An Application to Market Research

(University of Canterbury. Mathematics and Statistics, 2009)

In this paper we present a computationally e cient method for nding multiple
structural breaks at unknown dates based on regression trees. We outline
the procedure and present the results of a simulation study to assess ...

#### A unified multi-resolution coalescent: Markov lumpings of the Kingman-Tajima n-coalescent

(Department of Mathematics & StatisticsUniversity of Canterbury. Mathematics and Statistics, 2009)

In this paper, we formulate six different resolutions of a continuous-time approximation of the Wright-Fisher sample genealogical process. We derive Markov chains for the six different approximations in the spirit of J.F.C. ...

#### Coalescent experiments I: Unlabeled n-coalescent and the site frequency spectrum

(Department of Mathematics & StatisticsUniversity of Canterbury. Mathematics and Statistics, 2009)

We derive the transition structure of a Markovian lumping of Kingman’s n-coalescent [1, 2]. Lumping a Markov chain is meant in the sense of [3, def. 6.3.1]. The lumped Markov process, referred as the
unlabeled n-coalescent, ...

#### Coalescent experiments II: Markov bases of classical population genetic statistics

(Department of Mathematics & StatisticsUniversity of Canterbury. Mathematics and Statistics, 2009)

Evaluating the likelihood function of parameters in complex population genetic models from extant deoxyribonucleic acid (DNA) sequences is computationally prohibitive. In such cases, one may approximately infer the parameters ...

#### Rescuing concatenation with maximum likelihood using supermatrix rooted triples

(University of Canterbury. Mathematics and Statistics, 2009)

Concatenated alignments are often used to infer species-level reslationships. Previous studies have shown that analysis of concatenated alignments using maximum likelihood
(ML) can produce misleading results. We develop ...

#### Improving the Calculation of Fix-Rate Bias in Automated Telemetry Systems

(University of Canterbury. Mathematics and Statistics, 2009)

GPS and other radio tracking equipment are becoming more widely used by researchers for modelling animal habitat. In a typical monitoring program an animal will be fitted with a tracking collar. This tracking collar will ...