Tuning parameter selection for a penalized estimator of species richness
نویسندگان
چکیده
منابع مشابه
Tuning parameter selection in high dimensional penalized likelihood
Determining how to select the tuning parameter appropriately is essential in penalized likelihood methods for high dimensional data analysis. We examine this problem in the setting of penalized likelihood methods for generalized linear models, where the dimensionality of covariates p is allowed to increase exponentially with the sample size n. We propose to select the tuning parameter by optimi...
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ژورنال
عنوان ژورنال: Journal of Applied Statistics
سال: 2020
ISSN: 0266-4763,1360-0532
DOI: 10.1080/02664763.2020.1754359