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Universal inference meets random projections: a scalable test for log-concavity
Journal of Computational and Graphical Statistics ( IF 1.4 ) Pub Date : 2024-04-25 , DOI: 10.1080/10618600.2024.2347338 Robin Dunn 1 , Aditya Gangrade 2 , Larry Wasserman 3 , Aaditya Ramdas 3
Journal of Computational and Graphical Statistics ( IF 1.4 ) Pub Date : 2024-04-25 , DOI: 10.1080/10618600.2024.2347338 Robin Dunn 1 , Aditya Gangrade 2 , Larry Wasserman 3 , Aaditya Ramdas 3
Affiliation
Shape constraints yield flexible middle grounds between fully nonparametric and fully parametric approaches to modeling distributions of data. The specific assumption of log-concavity is motivated ...
中文翻译：
通用推理满足随机投影：对数凹性的可扩展测试
形状约束在完全非参数和完全参数化数据分布建模方法之间产生了灵活的中间立场。对数凹性的具体假设是出于......
更新日期：2024-04-25
中文翻译：
通用推理满足随机投影：对数凹性的可扩展测试
形状约束在完全非参数和完全参数化数据分布建模方法之间产生了灵活的中间立场。对数凹性的具体假设是出于......
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