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[1-3]
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[Title],
[Author],
[Editor],
[Year] |
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H. Skaug, D Fournier
Automatic approximation of the marginal likelihood in nonlinear hierarchical models
Article in
Computational Statistics and Data Analysis, 2006 |
Application Area:
Optimization
Tools:
AD Model Builder
Theory & Techniques:
Adjoint, Hessian, Integration of Analytic Derivatives, Reverse Mode
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M. N. Maunder, H. J. Skaug, D. A. Fournier, S. D. Hoyle
Comparison of estimators for mark-recapture models: random effects, hierarchical Bayes, and AD Model Builder
Article in
Environmental and Ecological Statistics, 2008 |
Application Area:
Biology
Tools:
AD Model Builder
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David A. Fournier, Hans J. Skaug, Johnoel Ancheta, James Ianelli, Arni Magnusson, Mark N. Maunder, Anders Nielsen, John Sibert
AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models
Article in
Optimization Methods and Software, 2012 |
Tools:
AD Model Builder
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[1-3]
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