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Merrilee Hurn

Dr

  • 4 WEST 3.44

20012014
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Personal profile

Research interests

Markov chain Monte Carlo methods, particularly with applications in image analysis, Bayesian mixture modelling, and Bayesian methodology. For more details of my research in these areas, and other research work of the statistics group in Bath, see the statistics group's research page.

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MCMC Algorithm Mathematics
Bayesian Hierarchical Model Mathematics
Confocal Microscopy Mathematics
Astrophysics Engineering & Materials Science
Image Analysis Mathematics
Scaling Relations Mathematics
Ionosphere Engineering & Materials Science
Phylogenetics Mathematics

Projects 2004 2010

THEORY AND TOOLS FOR COMPLEX BIOLOGICAL SYSTEMS

Spence, A. & Hurn, M.

1/11/0731/10/10

Project: Research council

Biological systems
Brain
Electric grounding
Electric wiring
Computer networks

Research Output 2001 2014

1 Citations (Scopus)

Classification of molecular sequence data using Bayesian phylogenetic mixture models

Loza Reyes, E., Hurn, M. A. & Robinson, A., Jul 2014, In : Computational Statistics & Data Analysis. 75, p. 81-95 15 p.

Research output: Contribution to journalArticle

Open Access
File
Phylogenetics
Mixture Model
Markov processes
Sequence Alignment
Markov Chain Monte Carlo
17 Citations (Scopus)

Improving power posterior estimation of statistical evidence

Friel, N., Hurn, M. & Wyse, J., Sep 2014, In : Statistics and Computing. 24, 5, p. 709-723

Research output: Contribution to journalArticle

Open Access
File
Ladders
Tempering
Bayesian Statistics
Marginal Likelihood
Temperature
19 Citations (Scopus)

Measurement errors and scaling relations in astrophysics: A review

Andreon, S. & A. Hurn, M., Jan 2013, In : Statistical Analysis and Data Mining. 6, 1, p. 15-33 19 p.

Research output: Contribution to journalArticle

Astrophysics
Scaling Relations
Measurement errors
Measurement Error
Regression
13 Citations (Scopus)

Tuning tempered transitions

Behrens, G., Friel, N. & Hurn, M., 1 Jan 2012, In : Statistics and Computing. 22, 1, p. 65-78 14 p.

Research output: Contribution to journalArticle

Open Access
File
Tuning
Simulated Tempering
Tempering
Markov Chain Monte Carlo
Markov processes
1 Citations (Scopus)

Mapping electron density in the ionosphere: a principal component MCMC algorithm

Khorsheed, E., Hurn, M. & Jennison, C., 1 Jan 2011, In : Computational Statistics & Data Analysis. 55, 1, p. 338-352 15 p.

Research output: Contribution to journalArticle

MCMC Algorithm
Ionosphere
Principal Components
Carrier concentration
Electron