ASTER 发表于 2025-3-23 13:31:08

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obsolete 发表于 2025-3-23 15:32:27

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袖章 发表于 2025-3-23 19:53:07

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锡箔纸 发表于 2025-3-24 02:07:53

0930-0325and computationaly trac­ table models. Faced with this inflation. applied statisticians feel more and more un­ comfortable: they are often hesitant about their traditional (typically parametric) assumptions. such as normal and i. i. d . • ARMA forms for time-series. etc . • but are at the same time

万灵丹 发表于 2025-3-24 03:51:32

Protecting Against Gross Errors: The Aid of Bayesian Methods,ed by this family..The statistician often needs to protect himself against the consequences of a gross error relative to the basic hypothesis: either a specification error for the functionnal form of p(x|θ), or the treatment of outliers. It will be shown in this paper that the Bayesian approach offe

可转变 发表于 2025-3-24 06:51:03

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Missile 发表于 2025-3-24 12:11:15

The Probability Integral Transformation for Non Necessarily Absolutely Continuous Distribution Funcomposition of Q by Q. is the uniform probability (or Lebesgue measure) on .; Q. is called the . (p.i.t) of Q. . being a class of probability measures on a space of observations Z, let φ be a . sufficient mapping from Z to a space Y, and ξ a mapping from Z to ℝ.; let, for every z, .(z) be the pr

ARCH 发表于 2025-3-24 17:42:27

Simulation in the General First Order Autoregressive Process (Unidimensional Normal Case),discretization parameters for the computation of non parametric kernel estimators for these processes; then, we investigate some “bad” cases and some “good” cases; it seems that effective computations generally give better results than those obtained in theory, finally we study the relation between

Pandemic 发表于 2025-3-24 22:35:40

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Capture 发表于 2025-3-25 00:53:51

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查看完整版本: Titlebook: Specifying Statistical Models; From Parametric to N J. P. Florens,M. Mouchart,A. F. M. Smith Conference proceedings 1983 Springer Science+B