基于随机森林核的球形预测器非参数二元回归模型

IF 1 4区 数学 Q3 STATISTICS & PROBABILITY
Xu Qin, Huiqun Gao
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引用次数: 0

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Nonparametric binary regression models with spherical predictors based on the random forests kernel

Nonparametric binary regression models with spherical predictors based on the random forests kernel
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来源期刊
Computational Statistics
Computational Statistics 数学-统计学与概率论
CiteScore
2.90
自引率
0.00%
发文量
122
审稿时长
>12 weeks
期刊介绍: Computational Statistics (CompStat) is an international journal which promotes the publication of applications and methodological research in the field of Computational Statistics. The focus of papers in CompStat is on the contribution to and influence of computing on statistics and vice versa. The journal provides a forum for computer scientists, mathematicians, and statisticians in a variety of fields of statistics such as biometrics, econometrics, data analysis, graphics, simulation, algorithms, knowledge based systems, and Bayesian computing. CompStat publishes hardware, software plus package reports.
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