
Statistical inference for stochastic processes is of great importance from the theoretical as well as from an applications point of view in model building. Among the more widely used continuous time processes for stochastic modeling, diffusion type processes have been studied...

Decision making in all spheres of activity involves uncertainty. If rational decisions have to be made, they have to be based on the past observations of the phenomenon in question. Data collection, model building and inference from the data collected, validation of the model...