Uses of Interface
net.finmath.stochastic.ConditionalExpectationEstimator

Package
Description
Provides basic interfaces and classes used in Monte-Carlo models (like LIBOR market model or Monte-Carlo simulation of a Black-Scholes model), e.g., the Monte-Carlo random variable and the Brownian motion.
Provides the implementation of backward automatic differentiation.
Provides the implementation of forward automatic differentiation.
Algorithms to perform the calculation of conditional expectations in Monte-Carlo simulations, also known as "American Monte-Carlo".
Provides classes which implement financial products which may be valued using a net.finmath.montecarlo.interestrate.LIBORModelMonteCarloSimulationModel.
Interfaces specifying operations on random variables.