Simulation and Inference for Stochastic Differential Equations: With R Examples (Springer Series in Statistics)
This book covers a highly relevant and timely topic that is of wide interest, especially in finance, engineering and computational biology. Get and download textbook Simulation and Inference for Stochastic Differential Equations: With R Examples (Springer Series in Statistics) for free
Categories: Stochastic differential equations. Contributors: Stefano M. Iacus - Author. Format: Paperback
The introductory material on simulation and stochastic differential equation is very accessible and will prove popular with many readers. While there are several recent texts available that cover stochastic differential equations, the concentration here on inference makes this book stand out. No other direct competitors are known to date. With an emphasis on the practical implementation of the simulation and estimation methods presented, the text will be useful to practitioners and students with minimal mathematical background. What's more, because of the many R programs, the information here is appropriate Simulation and Inference for Stochastic Differential Equations new edition
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Simulation and inference for stochastic differential equations: With R examples: Stefano M. Iacus
Categories: Stochastic differential equations. Contributors: Stefano M. Iacus - Author. Format: Paperback
Categories: Stochastic differential equations. Contributors: Stefano M. Iacus - Author. Format: Hardcover
Categories: Stochastic differential equations. Contributors: Stefano M. Iacus - Author. Format: Hardcover
Simulation and Inference for Stochastic Differential Equations Textbook
The introductory material on simulation and stochastic differential equation is very accessible and will prove popular with many readers. While there are several recent texts available that cover stochastic differential equations, the concentration here on inference makes this book stand out. No other direct competitors are known to date. With an emphasis on the practical implementation of the simulation and estimation methods presented, the text will be useful to practitioners and students with minimal mathematical background
he introductory material on simulation and stochastic differential equation is very accessible and will prove popular with many readers. While there are several recent texts available that cover stochastic differential equations, the concentration here on inference makes this book stand out. No other direct competitors are known to date. With an emphasis on the practical implementation of the simulation and estimation methods presented, the text will be useful to practitioners and students with minimal mathematical background. What's more, because of the many R programs, the information here is appropriate
