Journal of the American Statistical Association

最新文章

• Spherical Regression Models Using Projective Linear Transformations AI翻译
  作者：Rosenthal, Michael; Wu, Wei; Klassen, Eric; Srivastava, Anuj
  作者单位：State University System of Florida; Florida State University; State University System of Florida; Florida State University
  摘要：This article studies the problem of modeling relationship between two spherical (or directional) random variables in a regression setup. Here the predictor and the response variables are constrained to be on a unit sphere and, due to this nonlinear condition, the standard Euclidean regression models do not apply. Several past papers have studied this problem, termed spherical regression, by modeling the response variable with a von Mises-Fisher (VMF) density with the mean given by a rotation o...
• Targeted Local Support Vector Machine for Age-Dependent Classification AI翻译
  作者：Chen, Tianle; Wang, Yuanjia; Chen, Huaihou; Marder, Karen; Zeng, Donglin
  作者单位：Columbia University; New York University; Columbia University; Columbia University; University of North Carolina; University of North Carolina Chapel Hill
  摘要：We develop methods to accurately predict whether presymptomatic individuals are at risk of a disease based on their various marker profiles, which offers an opportunity for early intervention well before definitive clinical diagnosis. For many diseases, existing clinical literature may suggest the risk of disease varies with some markers of biological and etiological importance, for example, age. To identify effective prediction rules using nonparametric decision functions, standard statistica...
• Estimating Ocean Circulation: An MCMC Approach With Approximated Likelihoods via the Bernoulli Factory AI翻译
  作者：Herbei, Radu; Berliner, L. Mark
  作者单位：University System of Ohio; Ohio State University
  摘要：We provide a Bayesian analysis of ocean circulation based on data collected in the South Atlantic Ocean. The analysis incorporates a reaction-diffusion partial differential equation that is not solvable in closed form. This leads to an intractable likelihood function. We describe a novel Markov chain Monte Carlo approach that does not require a likelihood evaluation. Rather, we use unbiased estimates of the likelihood and a Bernoulli factory to decide whether or not proposed states are accepte...
• Comment on A Bayesian Nonparametric Modeling Framework for Developmental Toxicity Studies (vol 109, pg 889, 2014) AI翻译
  作者：Mueller, P.; Quintana, F.
• Selection of Mixed Copula Model via Penalized Likelihood AI翻译
  作者：Cai, Zongwu; Wang, Xian
  作者单位：University of Kansas; Xiamen University; Bank of America Corporation
  摘要：A fundamental issue of applying a copula method in applications is how to choose an appropriate copula function for a given problem. In this article we address this issue by proposing a new copula selection approach via penalized likelihood plus a shrinkage operator. The proposed method selects an appropriate copula function and estimates the related parameters simultaneously. We establish the asymptotic properties of the proposed penalized likelihood estimator, including the rate of convergen...
• Ensemble Subsampling for Imbalanced Multivariate Two-Sample Tests (vol 108, pg 1308, 2013) AI翻译
  作者：Chen, L.; Dou, W. W.; Qiao, Z.
• Using Data Augmentation to Facilitate Conduct of Phase I-II Clinical Trials With Delayed Outcomes AI翻译
  作者：Jin, Ick Hoon; Liu, Suyu; Thall, Peter F.; Yuan, Ying
  作者单位：University of Texas System; UTMD Anderson Cancer Center
  摘要：A practical impediment in adaptive clinical trials is that outcomes must be observed soon enough to apply decision rules to choose treatments for new patients. For example, if outcomes take up to six weeks to evaluate and the accrual rate is one patient per week, on average three new patients will be accrued while waiting to evaluate the outcomes of the previous three patients. The question is how to treat the new patients. This logistical problem persists throughout the trial. Various ad hoc ...
• Flexible Marginal Structural Models for Estimating the Cumulative Effect of a Time-Dependent Treatment on the Hazard: Reassessing the Cardiovascular Risks of Didanosine Treatment in the Swiss HIV Cohort Study AI翻译
  作者：Xiao, Yongling; Abrahamowicz, Michal; Moodie, Erica E. M.; Weber, Rainer; Young, James
  作者单位：McGill University; University of Zurich; University Zurich Hospital; University of Basel; Swiss School of Public Health (SSPH+)
  摘要：The association between antiretroviral treatment and cardiovascular disease (CVD) risk in HIV-positive persons has been the subject of much debate since the Data collection on Adverse events of Anti-HIV Drugs (D: A: D) study reported that recent use of two antiretroviral drugs, abacavir (ABC) and didanosine (DDI), was associated with increased risk. We focus on the potential impact of DDI use, as this drug has not been as studied intensively as ABC. We propose a flexible marginal structural Co...
• A Bayesian Nonparametric Modeling Framework for Developmental Toxicity Studies Rejoinder AI翻译
  作者：Fronczyk, Kassandra; Kottas, Athanasios
  作者单位：University of California System; University of California Santa Cruz
• Testing Second-Order Dynamics for Autoregressive Processes in Presence of Time-Varying Variance AI翻译
  作者：Patilea, Valentin; Raissi, Hamdi
  作者单位：Ecole Nationale de la Statistique et de l'Analyse de l'Information (ENSAI)
  摘要：This article considers the volatility modeling for autoregressive univariate time series. A benchmark approach is the stationary autoregressive conditional heteroscedasticity (ARCH) model of Engle. Motivated by real data evidence, processes with nonconstant unconditional variance and ARCH effects have been recently introduced. We take into account this type of nonstationarity in variance and propose simple testing procedures for ARCH effects. Adaptive McLeod and Li's portmanteau and ARCH-LM te...