CU Boulder News & Events

Long-Lead Forecasting of Runoff Season Flows in the Colorado River Basin Using a Random Forest Approach

We developed a modeling approach for seasonal streamflow forecasts using a machine learning technique, random forest (RF), for runoff season flows (April 1–July 31 total) at the important gauge of ...
CU Boulder News & Events

Long Lead Forecasting of Spring Flows in the Colorado River Using Random Forest

There is an increasing need for skillful streamflow forecasts that extend beyond a 12-month lead time (“year-2 forecasts”), particularly in basins with highly variable interannual streamflow, large ...
Insurancenewsnet.com

New Insurance Economics Findings Has Been Reported by Investigators at London School of Economics and Political Science (A Random Forest Based Approach for Predicting Spreads ...

2022 JAN 04 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- Investigators discuss new findings in Economics - Insurance Economics. According to news reporting originating ...
Harvard Business School

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach ...