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Multivariate Kernel Smoothing and Its Applications
Chapman & Hall/CRC Monographs on Statistics and Applied Probability
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Autorius José E. Chacón
Aprašymas
Kernel smoothing has greatly evolved since its inception to become an essential methodology in the Data Science tool kit for the 21st century. Its widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as the crucial role it plays in composite solutions to complex data challenges.
Multivariate Kernel Smoothing and Its Applications