applications in auto insurance rate regulation. This study focuses on analyzing major risks only, but the proposed method can be …In insurance rate-making, the use of statistical machine learning techniques such as artificial neural networks (ANN …) is an emerging approach, and many insurance companies have been using them for pricing. However, due to the complexity of …

Territory design and analysis using geographical loss cost are a key aspect in auto insurance rate regulation. The … equity of pure premium, as required by insurance regulation. To achieve this goal, the spatially-constrained clustering of …-constrained clustering approach in defining geographical rating territories for insurance rate regulation purposes. The significance of this …