-
作者：Puig, P
作者单位：Autonomous University of Barcelona
摘要：This article reports on two-parameter count distributions (satisfying very general conditions) that are closed under addition so that their maximum likelihood estimator (MLE) of the population mean is the sample mean. The most important of these in practice, the generalized Hermite distribution, is analyzed, and a necessary and sufficient condition is given to ensure that the MLE is the solution of likelihood equations. Score test to contrast the Poisson assumption is studied, and two examples...
-
作者：Straf, ML
作者单位：National Academies of Sciences, Engineering & Medicine
摘要：New technologies benefit our lives in many ways, but they can also bring increased risks, disruptions to our society, and even the malevolence of war. Statisticians can play a critical role in influencing the paths along which technology will take our society. But taking on this role requires changing our discipline, our profession, and our ASA. Change, however, is not an option; if we do not change, then technology may force change on us in detrimental ways. Understanding how to change requir...
-
作者：He, XM; Zhu, LX
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University of Hong Kong; Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS
摘要：We propose an omnibus lack-of-fit test for linear or nonlinear quantile regression based on a cusum process of the gradient vector. The test does not involve nonparametric smoothing but is consistent for all nonparametric alternatives without any moment conditions on the regression error. In addition, the test is suitable for detecting the local alternatives of any order arbitrarily close to n(-1/2) from the null hypothesis. The limiting distribution of the proposed test statistic is non-Gauss...
-
作者：Suchard, MA; Weiss, RE; Dorman, KS; Sinsheimer, JS
作者单位：University of California System; University of California Los Angeles; University of California Los Angeles Medical Center; David Geffen School of Medicine at UCLA; University of California System; University of California Los Angeles; Iowa State University; University of California System; University of California Los Angeles; University of California Los Angeles Medical Center; David Geffen School of Medicine at UCLA
摘要：We develop a Bayesian multiple changepoint model to infer spatial phylogenetic variation (SPV) along aligned molecular sequence data. SPV occurs in sequences from organisms that have undergone biological recombination or when evolutionary rates and selective pressures vary, along the sequences. This Bayesian approach permits estimation of uncertainty regarding recombination, the crossing-over locations, and all other model parameters. The model assumes that the sites along the data separate in...
-
作者：Banerjee, S; Gelfand, AE; Sirmans, CF
作者单位：University of Minnesota System; University of Minnesota Twin Cities; Duke University; University of Connecticut
摘要：Spatial process models are now widely used for inference in many areas of application. In such contexts interest is often in the rate of change of a spatial surface at a given location in a given direction. Examples include temperature or rainfall gradients in meteorology, pollution gradients for environmental data, and surface roughness assessment for digital elevation models. Because the spatial surface is viewed as a random realization, all such rates of change are random as well. We formal...
-
作者：Dunson, DB
作者单位：National Institutes of Health (NIH) - USA; NIH National Institute of Environmental Health Sciences (NIEHS)
摘要：This article presents a new approach for analysis of multidimensional longitudinal data, motivated by studies using an item response battery to measure traits of an individual repeatedly over time. A general modeling framework is proposed that allows mixtures of count, categorical, and continuous response variables. Each response is related to age-specific latent traits through a generalized linear model that accommodates item-specific measurement errors. A transition model allows the latent t...
-
作者：Dass, SC; Nair, VN
作者单位：Michigan State University; University of Michigan System; University of Michigan
摘要：Situations with incomplete multivariate spatial data on a lattice are considered. The goal is to impute the missing data in the presence of edges or boundaries and recover the image. Two methods based on Bayesian hierarchical models that iterate between edge detection and spatial smoothing to impute the missing data within identified homogeneous regions are examined. Their performance is compared with another method that imputes the missing values using edge-preserving spatial smoothers with l...
-
作者：Ollila, E; Oja, H; Koivunen, V
作者单位：Aalto University; University of Jyvaskyla
摘要：We introduce a new equivariant estimation method of the parameters of the multivariate regression model with q responses and p regressors. The estimate matrix is derived from the lift rank covariance matrix (LRCM) where the lift rank vectors are based on the Oja criterion function. The k = p + q variate ranks and k + I variate lift ranks are constructed using hyperplanes (or fits) going through k observations. The new LRCM regression estimate and the least squares (LS) estimate are shown to be...
