
Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical technology and, in particular, their use in methodologies such as filtering, smoothing, parameter estimation, and machine learning. It builds an intuitive handson understanding of what stochastic differential equations are all about, but also covers the essentials of Itô calculus, the central theorems in the field, and such approximation schemes as stochastic RungeKutta. Greater emphasis is given to solution methods than to analysis of theoretical properties of the equations. The book's practical approach assumes only prior understanding of ordinary differential equations. The numerous worked examples and endofchapter exercises include applicationdriven derivations and computational assignments. MATLAB/Octave source code is available for download, promoting handson work with the methods. 


Normative Externalism
Normative Externalism argues that it is not important that people live up to their own principles. What matters, in both ethics and epistemology, is that they live up to the correct principles: that they do the right thing, and that they believe rationally. This stance, that what matters are the correct principles, not one's...     
The School of Doubt (Brill Studies in Skepticism)
The School of Doubt conducts a parallel philological and philosophical examination
of Cicero’s Academica, a work on Hellenistic epistemology written in
the first half of 45 bce. The treatise has a unique history, insofar as fragments
of two different versions are extant: the second of a twovolume first edition,
a dialogue...     
