TradeSmith, a brand under MarketWise, has introduced Predictive Alpha, an artificial intelligence system developed to ...

基于 Stacking 集成学习的黑色系铁水产量量化预测模型 针对宏观基本面时间序列数据“样本极小、噪音极高”的痛点，本项目以全国日均铁水产量为核心标的，构建了一套深度契合产业物理周期的量化预测流水线。 项目首先重构了数据预处理逻辑，通过前向填充 ...

Seismic-driven reservoir characterization has always been a practical craft: we work with band-limited measurements, imperfect illumination, and sparse calibration, yet we are expected to produce ...

As a qualitative researcher, Ruth Abrams, a senior lecturer at the University of Surrey, doesn’t usually share her data. “It feels like a private moment between the researcher and the participant,” ...

This project provides a modern, well-structured implementation of hierarchical time series forecasting methods. It supports various forecasting algorithms (ARIMA, Prophet, LSTM) and reconciliation ...

In this tutorial, we build an advanced agentic AI system that autonomously handles time series forecasting using the Darts library combined with a lightweight HuggingFace model for reasoning. We ...

Thanks to A.I., companies like WindBorne hope to usher in a golden age of forecasting. But they rely in part on government data — and the agency that provides it is in turmoil. A WindBorne weather ...

Abstract: This paper addresses the challenge of forecasting time-series data, including mixed-frequency data. The proposed method integrates high-frequency features with low-frequency outputs by ...