Results 31 to 40 of about 334,334 (190)
BMC Bioinformatics, 2017 Background Probabilistic assessments of clinical care are essential for quality care. Yet, machine learning, which supports this care process has been limited to categorical results.
Brian Connolly +4 more
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A loss function approach to model specification testing and its relative efficiency
, 2013 The generalized likelihood ratio (GLR) test proposed by Fan, Zhang and Zhang [Ann. Statist. 29 (2001) 153-193] and Fan and Yao [Nonlinear Time Series: Nonparametric and Parametric Methods (2003) Springer] is a generally applicable nonparametric inference
Hong, Yongmiao, Lee, Yoon-Jin
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Rates of contraction for posterior distributions in $\bolds{L^r}$-metrics, $\bolds{1\le r\le\infty}$
, 2011 The frequentist behavior of nonparametric Bayes estimates, more specifically, rates of contraction of the posterior distributions to shrinking $L^r$-norm neighborhoods, $1\le r\le\infty$, of the unknown parameter, are studied. A theorem for nonparametric
Giné, Evarist, Nickl, Richard
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On the Bernstein-von Mises phenomenon for nonparametric Bayes procedures [PDF]
, 2014 We continue the investigation of Bernstein-von Mises theorems for nonparametric Bayes procedures from [Ann. Statist. 41 (2013) 1999-2028]. We introduce multiscale spaces on which nonparametric priors and posteriors are naturally defined, and prove ...
Castillo, Ismaël, Nickl, Richard
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Fundamentals of Nonparametric Statistical Tests for Dental Clinical Research
Dentistry JournalThis article provides the foundation for employing nonparametric testing in dental clinical research. To make wise judgments in their research, investigators should learn more about the main nonparametric tests and their particular uses.
Arturo Garrocho-Rangel +5 more
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Bias of the Entropy Estimator for Symmetric Bernoulli Measures and the Weak Metric
Моделирование и анализ информационных систем, 2015 We consider symmetric Bernoulli measures and new weak metrics and obtain a closed-form expression of the entropy estimator bias.
N. E. Timofeeva
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Identifying Factors Influencing the Corrosion Rate of Steel Using Nonparametric Statistics
International Journal of Electrochemical Science, 2012 Statistical techniques have made it possible to describe the behavior of certain phenomena. Nonetheless, given the difficulty in obtaining adequate data, it is common not to have random and homogeneous samples in order to conduct parametric statistical ...
D. Nieves-Mendoza +7 more
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The Analysis of Spatio-Temporal Variations of Temperature in the North –West of Iran [PDF]
جغرافیا و توسعه, 2007 In this paper in order to recognize the spatio-temporal variations of temperature in the north-west of Iran,19 synoptic stations which had had the more complete time series, have been used. First temperature spatial variations on the basis of central and
majid Zahedi +2 more
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Омский научный вестник, 2023 The article discusses the issues of durability of a prefabricated cutting tool in the process of metal cutting, as well as the risk of loss of its operability.
K. V. Syzrantseva, N. A. Vasilega
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Sparsity oracle inequalities for the Lasso
, 2007 This paper studies oracle properties of $\ell_1$-penalized least squares in nonparametric regression setting with random design. We show that the penalized least squares estimator satisfies sparsity oracle inequalities, i.e., bounds in terms of the ...
Bunea, Florentina +2 more
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