These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...

In the US, marketing measurement software specialist Slingwave has launched an AI-native marketing attribution and scenario ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

今年的STS竞赛，共有超过 2600名学生提交申请，他们来自46个州、华盛顿特区、北马里亚纳群岛、波多黎各以及全球16个国家的826所高中。经过激烈角逐，最终有300位年轻人脱颖而出，入选本届学者名单—— ...

机器学习构建风险预测模型的统计学套路是一个系统性流程，涵盖数据准备、模型构建、评估优化等多个环节，需结合机器学习算法特性与统计学原理，确保模型的可靠性和实用性。以下从核心步骤展开详细讲解： ①校准曲线：比较预测风险与实际发生率的一致性，通过 ...

Advancements in Building Energy Modeling This year’s Building Simulation conference really dug into how we can make ...

Nassau County students are making waves on the national stage, with dozens of high school seniors earning spots among the top ...

This important study builds on previous work from the same authors to present a conceptually distinct workflow for cryo-EM reconstruction that uses 2D template matching to enable high-resolution ...

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...

After decades of teaching and research at leading global institutions such as Harvard University and the Massachusetts ...