Vulnerable 发表于 2025-3-27 00:26:41
http://reply.papertrans.cn/23/2300/229941/229941_31.pngCT-angiography 发表于 2025-3-27 02:59:03
http://reply.papertrans.cn/23/2300/229941/229941_32.png消散 发表于 2025-3-27 07:09:36
Springer Series in Statisticshttp://image.papertrans.cn/c/image/229941.jpg合唱团 发表于 2025-3-27 13:24:22
Oscar Herreras,George G. SomjenThis chapter is devoted to some basic inequalities that bound the maximal difference between probabilities and relative frequencies over a class of events. The bounds will be key tools in our study of density estimates. Let ..,…,.. be i.i.d. random variables taking values in .. with common distribution彻底明白 发表于 2025-3-27 17:19:33
https://doi.org/10.1007/978-1-4899-1597-9Consider a class . of subsets of .., and let ..,…,.. ∈ .. be arbitrary points. Recall from the previous chapter that properties of the finite set .(..) ⊂ {0, 1}. defined by . play an essential role in bounding uniform deviations of the empirical measure.落叶剂 发表于 2025-3-27 21:30:41
https://doi.org/10.1007/3-7643-7537-XThis chapter is about the choice of the bandwidth (or smoothing factor) . ∈ (0, ∞) of the standard kernel estimateMIRTH 发表于 2025-3-27 23:08:30
http://reply.papertrans.cn/23/2300/229941/229941_37.png壮丽的去 发表于 2025-3-28 04:57:10
https://doi.org/10.1007/3-7643-7537-XThe transformed kernel estimate on the real line was introduced in an attempt to reduce the .. error in a relatively cheap manner. The data are first transformed . : . → . by a strictly monotonically increasing almost everywhere differentiable transformation .: .. = .(..),…,.. = .(..). The density of .. is . where .. denotes the inverse of ..hypnotic 发表于 2025-3-28 08:18:14
http://reply.papertrans.cn/23/2300/229941/229941_39.pngengrave 发表于 2025-3-28 13:44:09
Uniform Deviation Inequalities,This chapter is devoted to some basic inequalities that bound the maximal difference between probabilities and relative frequencies over a class of events. The bounds will be key tools in our study of density estimates. Let ..,…,.. be i.i.d. random variables taking values in .. with common distribution