Journal of the American Statistical Association

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  Año 2014, Vol. 109, Número 505

  • Bayesian models for multiple outcomes in domains with application to the seychelles child development study

    Luo Xiao, Sally W. Thurston, David Ruppert, Tanzy M. T. Love, Philip W. Davidson

    • Resumen

    págs. 1-10

    

  • A new estimation approach for combining epidemiological data from multiple sources

    Hui Huang, Xiaomei Ma, Rasmus Waagepetersen, Theodore R. Holford, Rong Wang

    • Resumen

    págs. 11-23

    

  • Estimating the lifetime risk of dementia in the Canadian elderly population using cross-sectional cohort survival data

    Marco Carone, Masoud Asgharian, Nicholas P. Jewell

    • Resumen

    págs. 24-35

    

  • Statistical modeling methodology for the voting rights act section 203 language assistance determinations

    Patrick M. Joyce, Donald Malec, Roderick J.A. Little, Aaron Gilary, Alfredo Navarro

    • Resumen

    págs. 36-47

    

  • A locally convoluted cluster model for nucleosome positioning signals in chemical maps

    Liqun Xi, Kristin Brogaard, Qingyang Zhang, Bruce G. Lindsay, Jonathan Widom

    • Resumen

    págs. 48-62

    

  • A methodology for robust multiproxy paleoclimate reconstructions and modeling of temperature conditional quantiles

    Lucas Janson, Bala Rajaratnam

    • Resumen

    págs. 63-77

    

  • Some statistical strategies for DAE-seq data analysis: : variable selection and modeling dependencies among observations

    Naim Rashid, Wei Sun, Joseph G. Ibrahim

    • Resumen

    págs. 78-94

    

  • Uncertainty in propensity score estimation: : bayesian methods for variable selection and model-averaged causal effects

    Corwin Matthew Zigler, Francesca Dominici

    • Resumen

    págs. 95-107

    

  • Modeling bivariate longitudinal hormone profiles by hierarchical state space models

    Ziyue Liu, Anne R. Cappola, Leslie J. Crofford, Wensheng Guo

    • Resumen

    págs. 108-118

    

  • Detection of unusual increases in MRI lesion counts in individual multiple sclerosis patients

    Yinshan Zhao, David K. B. Li, A. John Petkau, Andrew Riddehough, Anthony Traboulsee

    • Resumen

    págs. 119-132

    

  • Clustered treatment assignments and sensitivity to unmeasured biases in observational studies

    Ben B. Hansen, Paul R. Rosenbaum, Dylan S. Small

    • Resumen

    págs. 133-144

    

  • A generalized least-square matrix decomposition

    Genevera I. Allen, Logan Grosenick, Jonathan Taylor

    • Resumen

    págs. 145-159

    

  • Bootstrap testing of the rank of a matrix via least-squared constrained estimation

    François Portier, Bernard Delyon

    • Resumen

    págs. 160-172

    

  • Parametric estimation of ordinary differential equations with orthogonality conditions

    Nicolas J-B. Brunel, Quentin Clairon, Florence d'Alché-Buc

    • Resumen

    págs. 173-185

    

  • Joint estimation of the mean and error distribution in generalized linear models

    Alan Huang

    • Resumen

    págs. 186-196

    

  • The estimation of leverage effect with high-frequency data

    Christina D. Wang, Per A. Mykland

    • Resumen

    págs. 197-215

    

  • Model selection via bayesian information criterion for quantile regression models

    Eun Ryung Lee, Hohsuk Noh, Byeong U. Park

    • Resumen

    págs. 216-229

    

  • Quantile association regression models

    Ruosha Li, Yu Cheng, Jason P. Fine

    • Resumen

    págs. 230-242

    

  • Predictor selection for positive autoregressive processes

    Ching-Kang Ing, Chiao-Yi Yang

    • Resumen

    págs. 243-253

    

  • A model-averaging approach for high-dimensional regression

    Tomohiro Ando, Ker-Chau Li

    • Resumen

    págs. 254-265

    

  • Feature selection for varying coefficient models with ultrahigh-dimensional covariates

    Jingyuan Liu, Runze Li, Rongling Wu

    • Resumen

    págs. 266-274

    

  • Scale-invariant sparse PCA on high-dimensional meta-elliptical data

    Fang Han, Han Liu

    • Resumen

    págs. 275-287

    

  • Large sample randomization inference of causal effects in the presence of interference

    Lan Liu, Michael G. Hudgens

    • Resumen

    págs. 288-301

    

  • Accurate directional inference for vector parameters in linear exponential families

    Anthony C. Davison, Donald A. S. Fraser, N. Reid, N. Sartori

    • Resumen

    págs. 302-314

    

  • Expectation propagation for likelihood-free inference

    Simon Barthelmé, Nicolas Chopin

    • Resumen

    págs. 315-333

    

  • A nonparametric approach for multiple change point analysis of multivariate data

    David S. Matteson, Nicholas A. James

    • Resumen

    págs. 334-345

    

  • Probit transformation for kernel density estimation on the unit interval

    Gery Geenens

    • Resumen

    págs. 346-358

    

  • Gradient-based kernel dimension reduction for regression

    Kenji Fukumizu, Chenlei Leng

    • Resumen

    págs. 359-370

    

  • Efficient estimation of semiparametric transformation models for two-phase cohort studies

    Donglin Zeng, D. Y. Lin

    • Resumen

    págs. 371-383

    

  • Landmark estimation of survival and treatment effect in a randomized clinical trial

    Layla Parast, Lu Tian, Cai Tianxin

    • Resumen

    págs. 384-394