High-dimensional problems for spatial point processes

空间点过程的高维问题

• 批准号: RGPIN-2017-05257
• 负责人: Coeurjolly, JeanFrançois
• 金额: $ 3.13万
• 依托单位: Université du Québec à Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=635976
• 关键词: dimensional; problems; spatial; point; processes

Nowadays, new technologies allow, on the one hand, the acquisition of an increasing mass of data and on the other hand the observation of more and more complex phenomena. Statistics and in particular the sub-branch of spatial statistics does not avoid these questions. The present research program intends to consider high-dimensional problems for one specific class of spatial models which is the class of (spatial) point processes.

如今，新技术一方面可以获取越来越多的数据，另一方面可以观察越来越复杂的现象。统计学，特别是空间统计学的分支并没有回避这些问题。本研究计划旨在考虑一类特定空间模型的高维问题，即（空间）点过程类。