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This is the third, revised and extended edition of the classical introduction to the mathematics of finance, based on stochastic models in discrete time. In the first part of the book simple one-period models are studied, in the second part the idea of dynamic hedging of conting…
“This book offers a unified, comprehensive, and up-to-date treatment of analytical and numerical tools for solving dynamic economic problems. The focus is on introducing recursive methods―an important part of every economist's set of tools―and readers will learn to apply recursi…
Offering an up-to-date coverage of the basic principles and tools of Bayesian inference in economics, this textbook then shows how to use Bayesian methods in a range of models suited to the analysis of macroeconomic and financial time series.
A state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern hierarchical statistical modeling concepts and the latest computational methods From understanding environmental processes and climate trends to developing new technologies for mappi…
A state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern hierarchical statistical modeling concepts and the latest computational methods From understanding environmental processes and climate trends to developing new technologies for mappi…
Despite the flurry of relatively recent research activity in spatio-temporal statistics, there are no books on spatio-temporal statistical modeling that consider the modern hierarchal perspective.
Despite the flurry of relatively recent research activity in spatio-temporal statistics, there are no books on spatio-temporal statistical modeling that consider the modern hierarchal perspective.
