-
作者：Dorazio, RM; Royle, JA
作者单位：United States Department of the Interior; United States Geological Survey; United States Department of the Interior; United States Geological Survey
摘要：We develop a model that uses repeated observations of a biological community to estimate the number and composition of species in the community. Estimators of community-level attributes are constructed from model-based estimators of occurrence of individual species that incorporate imperfect detection of individuals. Data from the North American Breeding Bird Survey are analyzed to illustrate the variety of ecologically important quantities that are easily constructed and estimated using our m...
-
作者：Sim, CH; Gan, FF; Chang, TC
作者单位：Universiti Malaya; National University of Singapore; University of Macau
摘要：In this article we focus on the detection of possible outliers based on the widely used boxplot procedures. The outliers in a set of data are defined to be a subset of observations that appear to be inconsistent with the remaining observations. We identify the outliers by constructing a boxplot with its lower fence (LF) and upper fence (UF) either (a) satisfying the requirement that if the given sample is outlier-free, then the probability that one or more of the sample data would fall outside...
-
作者：Cook, RD; Ni, LQ
作者单位：University of Minnesota System; University of Minnesota Twin Cities; State University System of Florida; University of Central Florida
摘要：A family of dimension-reduction methods, the inverse regression (IR) family, is developed by minimizing a quadratic objective function. An optimal member of this family, the inverse regression estimator (IRE), is proposed, along with inference methods and a computational algorithm. The IRE has at least three desirable properties: (1) Its estimated basis of the central dimension reduction subspace is asymptotically efficient, (2) its test statistic for dimension has an asymptotic chi-squared di...
-
作者：Scott, SL; James, GM; Sugar, CA
作者单位：University of Southern California
摘要：Medical researchers interested in temporal, multivariate measurements of complex diseases have recently begun developing health state models, which divide the space of patient characteristics into medically distinct clusters. The current state of the art in health services research uses k-means clustering to form the health states and a first-order Markov chain to describe transitions between the states. This fitting procedure ignores information from temporally adjacent observations and preve...
-
作者：Sinha, S; Mukherjee, B; Ghosh, M; Mallick, BK; Carroll, RJ
作者单位：Texas A&M University System; Texas A&M University College Station; State University System of Florida; University of Florida
摘要：This article considers Bayesian analysis of matched case-control problems when one of the covariates is partially missing. Within the likelihood context, the standard approach to this problem is to posit a fully parametric model among the controls for the partially missing covariate as a function of the covariates in the model and the variables making up the strata. Sometimes the strata effects are ignored at this stage. Our approach differs not only in that it is Bayesian, but, far more impor...
-
作者：Samarov, A; Spokoiny, V; Vial, C
作者单位：University of Massachusetts System; University of Massachusetts Lowell; Massachusetts Institute of Technology (MIT); Leibniz Association; Weierstrass Institute for Applied Analysis & Stochastics; Humboldt University of Berlin; Australian National University
摘要：This article proposes a new method of analysis of a partially linear model whose nonlinear component is completely unknown. The target of analysis is identification of the set of regressors that enter in a nonlinear way in the model function, and complete estimation of the model, including slope coefficients of the linear component and the link function of the nonlinear component. The procedure also allows selection of the significant regression variables. We also develop a test of linear hypo...
-
作者：Iversen, ES Jr; Chen, SN
作者单位：Duke University; Duke University; Johns Hopkins University
摘要：Phenotypic characterization of rare disease genes poses a significant statistical challenge, but the need to do so is clear. Clinical management of patients carrying a disease gene depends crucially on an accurate characterization of the genetically predisposed disease, including its likelihood of occurrence among mutation carriers, natural history, and response to treatment. We propose a formal yet practical method for controlling for bias due to ignoring ascertainment, defined as the samplin...
-
作者：Francq, C; Roy, R; Zakoïan, JM
作者单位：Universite de Lille; Universite de Montreal; Universite de Montreal; Institut Polytechnique de Paris; ENSAE Paris
摘要：We consider tests for lack of fit in ARMA models with nonindependent innovations. In this framework, the standard Box-Pierce and Ljung-Box portmanteau tests can perform poorly. Specifically, the usual text book formulas for asymptotic distributions are based on strong assumptions and should not be applied without careful consideration. In this article we derive the asymptotic covariance matrix Sigma(rho m) of a vector of autocorrelations for residuals of ARMA models under weak assumptions on t...
-
作者：James, GM; Silverman, BW
作者单位：University of Southern California; University of Oxford
摘要：In this article we are interested in modeling the relationship between a scalar, Y, and a functional predictor, X(t). We introduce a highly flexible approach called functional adaptive model estimation (FAME), which extends generalized linear models (GLMs), generalized additive models (GAMs), and projection pursuit regression (PPR) to handle functional predictors. The FAME approach can model any of the standard exponential family of response distributions that are assumed for GLM or GAM while ...
-
作者：Garthwaite, PH; Kadane, JB; O'Hagan, A
作者单位：Open University - UK; Carnegie Mellon University; University of Sheffield
摘要：Elicitation is a key task for subjectivist Bayesians. Although skeptics hold that elicitation cannot (or perhaps should not) be done, in practice it brings statisticians closer to their clients and subject-matter expert colleagues. This article reviews the state of the art, reflecting the experience of statisticians informed by the fruits of a long line of psychological research into how people represent uncertain information cognitively and how they respond to questions about that information...
