Gregory Michael Duncan

Title: Gregory Michael Duncan: Innovator in Demand Forecasting

Introduction

Gregory Michael Duncan is a notable inventor based in Bellevue, WA (US). He has made significant contributions to the field of demand forecasting, holding a total of 2 patents. His work focuses on improving the accuracy and efficiency of forecasting models, which are essential for managing large inventories.

Latest Patents

Duncan's latest patents include "Intermittent Demand Forecasting for Large Inventories" and "Selecting Forecasting Models for Time Series Using State Space Representations." The first patent involves generating a statistical model that utilizes a likelihood function comprising a latent function, which combines a deterministic component and a random process. This model is designed to produce probabilistic forecasts based on input data sets containing observation records of a time series. The second patent focuses on generating state space representations for a family of forecasting models. It includes executing cross-validation iterations to select the optimal model based on prediction errors.

Career Highlights

Gregory Michael Duncan is currently employed at Amazon Technologies, Inc., where he applies his expertise in statistical modeling and forecasting. His innovative approaches have contributed to advancements in inventory management and demand forecasting.

Collaborations

Duncan has collaborated with notable colleagues such as Matthias Seeger and Jan Alexander Gasthaus, further enhancing the impact of his work in the field.

Conclusion

Gregory Michael Duncan's contributions to demand forecasting through his patents and work at Amazon Technologies, Inc. highlight his role as an influential inventor in this critical area. His innovative methods continue to shape the future of inventory management and forecasting.