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作者：Chan, Yao-Ban; Hall, Peter
作者单位：University of Melbourne
摘要：Distance-based classifiers are generally considered to be effective at discriminating between populations that differ in location. Indeed, nearest-neighbour methods and the support vector machine are frequently used in very high-dimensional problems involving gene expression data, where it is believed that elevated levels of expression convey much of the information for classification. However, one problem inherent to distance-based classifiers is that scale differences can mask location diffe...
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作者：Zhao, Luping; Hanson, Timothy E.; Carlin, Bradley P.
作者单位：Eli Lilly; University of Minnesota System; University of Minnesota Twin Cities
摘要：Mixtures of Polya trees offer a very flexible nonparametric approach for modelling time-to-event data. Many such settings also feature spatial association that requires further sophistication, either at the point level or at the lattice level. In this paper, we combine these two aspects within three competing survival models, obtaining a data analytic approach that remains computationally feasible in a fully hierarchical Bayesian framework using Markov chain Monte Carlo methods. We illustrate ...
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作者：Bingham, Derek; Sitter, Randy R.; Tang, Boxin
作者单位：Simon Fraser University
摘要：We introduce a method for constructing a rich class of designs that are suitable for use in computer experiments. The designs include Latin hypercube designs and two-level fractional factorial designs as special cases and fill the vast vacuum between these two familiar classes of designs. The basic construction method is simple, building a series of larger designs based on a given small design. If the base design is orthogonal, the resulting designs are orthogonal; likewise, if the base design...
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作者：Carroll, Raymond J.; Maity, Arnab; Mammen, Enno; Yu, Kyusang
作者单位：Texas A&M University System; Texas A&M University College Station; Harvard University; Harvard T.H. Chan School of Public Health; University of Mannheim
摘要：We develop an easily computed smooth backfitting algorithm for additive model fitting in repeated measures problems. Our methodology easily copes with various settings, such as when some covariates are the same over repeated response measurements. We allow for a working covariance matrix for the regression errors, showing that our method is most efficient when the correct covariance matrix is used. The component functions achieve the known asymptotic variance lower bound for the scalar argumen...
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作者：Janes, Holly; Pepe, Margaret S.
作者单位：Fred Hutchinson Cancer Center
摘要：Recent scientific and technological innovations have produced an abundance of potential markers that are being investigated for their use in disease screening and diagnosis. In evaluating these markers, it is often necessary to account for covariates associated with the marker of interest. Covariates may include subject characteristics, expertise of the test operator, test procedures or aspects of specimen handling. In this paper, we propose the covariate-adjusted receiver operating characteri...
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作者：Tsai, Wei Yann
作者单位：Columbia University
摘要：We obtain a pseudo-partial likelihood for proportional hazards models with biased-sampling data by embedding the biased-sampling data into left-truncated data. The log pseudo-partial likelihood of the biased-sampling data is the expectation of the log partial likelihood of the left-truncated data conditioned on the observed data. In addition, asymptotic properties of the estimator that maximize the pseudo-partial likelihood are derived. Applications to length-biased data, biased samples with r...
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作者：Lin, C. Devon; Mukerjee, Rahul; Tang, Boxin
作者单位：Simon Fraser University; Indian Institute of Management (IIM System); Indian Institute of Management Calcutta
摘要：We propose a method for constructing orthogonal or nearly orthogonal Latin hypercubes. The method yields a large Latin hypercube by coupling an orthogonal array of index unity with a small Latin hypercube. It is shown that the large Latin hypercube inherits the exact or near orthogonality of the small Latin hypercube. Thus, effort for searching for large Latin hypercubes, that are exactly or nearly orthogonal, can be focussed on finding small Latin hypercubes with the same property. We obtain ...
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作者：Hannig, Jan; Lee, Thomas C. M.
作者单位：University of North Carolina; University of North Carolina Chapel Hill; Chinese University of Hong Kong
摘要：We apply Fisher's fiducial idea to wavelet regression, first developing a general methodology for handling model selection problems within the fiducial framework. We propose fiducial-based methods for wavelet curve estimation and the construction of pointwise confidence intervals. We show that these confidence intervals have asymptotically correct coverage. Simulations demonstrate that they possess promising empirical properties.
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作者：Kou, S. C.; McCullagh, P.
作者单位：Harvard University; University of Chicago
摘要：The standard matrix permanent is the solution to a number of combinatorial and graph-theoretic problems, and the alpha-weighted permanent is the density function for a class of Cox processes called boson processes. The exact computation of the ordinary permanent is known to be #P-complete, and the same appears to be the case for the alpha-permanent for most values of alpha. At present, the lack of a satisfactory algorithm for approximating the alpha-permanent is a formidable obstacle to the us...
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作者：Lohr, Sharon L.; Rao, J. N. K.
作者单位：Arizona State University; Arizona State University-Tempe; Carleton University
摘要：Empirical Bayes predictors of small area parameters of interest are often obtained under a linear mixed model for continuous response data or a generalized linear mixed model for binary responses or count data. However, estimation of the unconditional mean squared error of prediction is complicated, particularly for a nonlinear mixed model. Jiang et al. (2002) proposed a jackknife method for estimating the unconditional mean squared error and showed that the resulting estimator is nearly unbia...
