Selection of the Blur Coefficient for Probability Density Kernel Estimates Under Conditions of Large Samples
- Авторлар: Lapko A.1,2, Lapko V.1,2
-
Мекемелер:
- Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences
- Reshetnev Siberian State University of Science and Technology
- Шығарылым: Том 62, № 5 (2019)
- Беттер: 383-389
- Бөлім: General Problems of Metrology and Measurement Technique
- URL: https://journals.rcsi.science/0543-1972/article/view/246718
- DOI: https://doi.org/10.1007/s11018-019-01634-w
- ID: 246718
Дәйексөз келтіру
Аннотация
A fast algorithm is proposed for choosing the blur factors of kernel functions of a non-parametric probability density estimate under conditions of large-scale statistical data. It is shown that the basis of the algorithm is the result of a study of the asymptotic properties of a new kernel probability density estimate. The properties of the developed algorithm are analyzed and the method of its application is formulated.
Авторлар туралы
A. Lapko
Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences; Reshetnev Siberian State University of Science and Technology
Хат алмасуға жауапты Автор.
Email: lapko@icm.krasn.ru
Ресей, Krasnoyarsk; Krasnoyarsk
V. Lapko
Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences; Reshetnev Siberian State University of Science and Technology
Email: lapko@icm.krasn.ru
Ресей, Krasnoyarsk; Krasnoyarsk