Comparing statistical and deep learning techniques for parameter estimation of continuous-time stochastic differentiable equations

Aroon Sankoh, Victor Wickerhauser

Stochastic differential equations such as the Ornstein-Uhlenbeck process have long been used to model realworld probablistic events such as stock prices and temperature fluctuation…