Biology - Mathematical models.
Overview
| Works: | 53 works in 30 publications in 30 languages | |
|---|---|---|
Titles
Model selection and inference :a practical information-theoretic approach /
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Model selection and multimodel inference :a practical information-theoretic approach /
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Fitting models to biological data using linear and nonlinear regression :a practical guide to curve fitting /
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A course in mathematical biology :quantitative modeling with mathematical and computational methods /
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Mathematical Modeling of Biological Systems :Epidemiology, Evolution and Ecology,Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods /
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A course in mathematical biologyquantitative modeling with mathematical and computational methods /
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Mathematics inspired by biologylectures given at the 1st session of the Centro internazionale matematico estivo (C.I.M.E.), held in Martina Franca, Italy, June 13-20, 1997 /
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Model selection and multimodel inferencea practical information-theoretic approach /
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An introduction to optimal control problems in life sciences and economicsfrom mathematical models to numerical simulation with MATLAB /
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An introduction to Markov State Models and their application to long timescale molecular simulation
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Mathematical concepts and methods in modern biologyusing modern discrete models /
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Mathematical approaches to biological systemsnetworks, oscillations, and collective motions /
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Methods and models in mathematical biologydeterministic and stochastic approaches /
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Applications of intelligent optimization in biology and medicinecurrent trends and open problems /
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Mathematical models and methods for living systemsLevico Terme, Italy 2014 /
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Convergence of one-parameter operator semigroups :in models of mathematical biology and elsewhere /
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Women in mathematical biologyresearch collaboration workshop, Nimbios, Knoxville, June 2015 /
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Hyperbolic and kinetic models for self-organised biological aggregationsa modelling and pattern formation approach /
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Exploring mathematical modeling in biology through case studies and experimental activities
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Introduction to stochastic differential equations with applications to modelling in biology and finance
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Mathematical modelling and computing in physics, chemistry and biologyfundamentals and applications /
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