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Your search keyword '"Olivier Gimenez"' showing total 12 results
Start Over Author "Olivier Gimenez" Publisher chapman and hall/crc
12 results on '"Olivier Gimenez"'

1. State-Space Modelling

Author

Byron J. T. Morgan, Ruth King, Steve Brooks, and Olivier Gimenez

Subjects
Computer science, Statistical physics, State space (physics)
Published
2009
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3. Markov Chain Monte Carlo

Author

Byron J. T. Morgan, Ruth King, Stephen P. Brooks, and Olivier Gimenez

Subjects
Markov chain mixing time, Computer science, 0211 other engineering and technologies, 020101 civil engineering, Markov chain Monte Carlo, 02 engineering and technology, 0201 civil engineering, Hybrid Monte Carlo, symbols.namesake, 021105 building & construction, Dynamic Monte Carlo method, symbols, Monte Carlo method in statistical physics, Parallel tempering, Statistical physics, Kinetic Monte Carlo, Monte Carlo molecular modeling
Published
2009
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5. Multi-State Models

Author

Byron J. T. Morgan, Steve Brooks, Ruth King, and Olivier Gimenez

Subjects
Mathematical optimization, Multi state, Computer science
Published
2009
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8. Data, Models and Likelihoods

Author

Olivier Gimenez, Stephen Brooks, Ruth King, and Byron J. T. Morgan

Subjects
Computer science, business.industry, Artificial intelligence, Machine learning, computer.software_genre, business, computer, Data modeling
Published
2009
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10. Classical Inference Based on Likelihood

Author

Olivier Gimenez, Stephen Brooks, Byron J. T. Morgan, and Ruth King

Subjects
business.industry, Computer science, Inference, Machine learning, computer.software_genre, Likelihood principle, Predictive inference, Frequentist inference, Fiducial inference, Artificial intelligence, Foundations of statistics, business, Likelihood function, computer
Published
2009
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12. Bayesian Analysis for Population Ecology

Author

Ruth King, Byron Morgan, Olivier Gimenez, Steve Brooks, Ruth King, Byron Morgan, Olivier Gimenez, and Steve Brooks

Subjects
Fertility, Population genetics, Population biology--Mathematics, Bayesian field theory
Abstract

Novel Statistical Tools for Conserving and Managing PopulationsBy gathering information on key demographic parameters, scientists can often predict how populations will develop in the future and relate these parameters to external influences, such as global warming. Because of their ability to easily incorporate random effects, fit state-space mode

Published
2010

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