On constrained smoothing and out-of-range prediction using P-splines: A conic optimization approach

Applied Mathematics and Computation(2023)

引用 2|浏览7
暂无评分
摘要
•We study the problem of estimating smooth curves which verify structural properties.•We propose a mathematical optimization formulation to build constrained P-splines.•An open-source Python library is developed: cpsplines.•We estimate constrained curves in simulated, COVID-19 and demographic data.
更多
查看译文
关键词
Data science,Penalized splines,Conic optimization,Smoothing,Prediction
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要