-
作者：Fischer, K; Goetghebeur, E
作者单位：University of Tartu; Ghent University
摘要：A randomized, placebo-controlled blood pressure (BP) reduction trial has recorded compliance measures by electronic monitoring. Causal questions regarding dose effects are of interest, but one often wants to avoid the assumption that compliance quantiles on both randomized arms are comparable. Structural mean models (SMMs) do avoid this assumption; however, they do not allow for interaction effects between variables observed on different randomized arms. Such an interaction between observed ex...
-
作者：Stanek, EJ III; Singer, JM
作者单位：University of Massachusetts System; University of Massachusetts Amherst; Universidade de Sao Paulo
摘要：In many situations there is interest in parameters (e.g., mean) associated with the response distribution of individual Clusters in a finite clustered population. We develop predictors of such parameters using a two-stage sampling probability model with response error. The probability model sterns directly from finite population sampling without additional assumptions, and thus is design-based. The predictors are closely related to best linear unbiased predictors (BLUP) that arise from common ...
-
作者：Choudhuri, N; Ghosal, S; Roy, A
作者单位：University System of Ohio; Case Western Reserve University; North Carolina State University; University System of Maryland; University of Maryland Baltimore County
摘要：This article describes a Bayesian approach to estimating the spectral density of a stationary time series. A nonparametric prior on the spectral density is described through Bernstein polynomials. Because the actual likelihood is very complicated, a pseudoposterior distribution is obtained by updating the prior using the Whittle likelihood. A Markov chain Monte Carlo algorithm for sampling front this posterior distribution is described that is used for computing the posterior mean, variance, a...
-
作者：Ke, CL; Wang, YD
作者单位：University of California System; University of California Santa Barbara
摘要：Almost all of the current nonparametric regression methods, such as smoothing splines, generalized additive models, and varying-coefficients models, assume a linear relationship when nonparametric functions are regarded as parameters. In this article we propose a general class of smoothing spline nonlinear nonparametric models that allow nonparametric functions to act nonlinearly. They arise in many fields as either theoretical or empirical models. Our new estimation methods are based on an ex...
-
作者：Suárez-Fariñas, M; Pedreira, CE; Medeiros, MC
作者单位：Pontificia Universidade Catolica do Rio de Janeiro; Pontificia Universidade Catolica do Rio de Janeiro
摘要：We propose the local-global neural networks model within the context of time series models. This formulation encompasses some already existing nonlinear models and also admits the mixture of experts approach. We emphasize the linear expert case and extensively discuss the theoretical aspects of the model: stationarity conditions, existence, consistency and asymptotic normality of the parameter estimates, and model identifiability. The proposed model consists of a mixture of stationary and nons...
-
作者：He, XM; Portnoy, S
作者单位：University of Illinois System; University of Illinois Urbana-Champaign
-
作者：Miyata, Y
作者单位：Waseda University
摘要：Posterior means of positive functions can be expressed as the ration integrals which is called fully exponential form. When approximating the posterior means analytically, we usually use Laplace's method. Tierney and Kadane presented a second-order approximation by using the Laplace approximations in each of the numerator and denominator of the fully exponential form. However, Laplace's method requires the exact mode of the integrand. In this article we introduce the concept of asymptotic mode...
-
作者：Guo, WS; Ratcliffe, SJ; Ten Have, TT
作者单位：University of Pennsylvania
摘要：Pattern-mixture models are frequently used for longitudinal data analysis with dropouts because they do not require explicit specification Of the dropout mechanism. These models stratify the data according to time to dropout and formulate a model for each stratum. This usually results in underindentifiability, because we need to estimate many pattern-specific parameters even though the eventual interest is usually or, the marginal parameters. In this article we extend this framework to a rando...
-
作者：Yang, B; Kolassa, JE
作者单位：Merck & Company; Schering Plough Corporation; Rutgers University System; Rutgers University New Brunswick
摘要：This article describes multivariate approximate conditional confidence regions for canonical exponential families. These confidence regions have actual coverage probabilities that are closer to their nominal levels than are the actual coverage probabilities of traditional normal-theory regions and have boundaries that are smoother than those obtained by inverting traditional exact tests. Our method is based on constructing one-dimensional conditional tests, combining p values, and inverting. M...
-
作者：McCullagh, P
作者单位：University of Chicago
