Journal of the American Statistical Association

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  Año 2016, Vol. 111, Número 513

  • A functional approach to deconvolve dynamic neuroimaging data

    Ci Ren Jiang, John A.D. Aston, Jane-ling Wang

    • Resumen

    págs. 1-13

    

  • A bayesian partial identification approach to inferring the prevalence of accounting misconduct

    P. Richard Hahn, Jared S. Murray, Ioanna Manolopoulou

    • Resumen

    págs. 14-26

    

  • Meta-analytic framework for sparse k-means to identify disease subtypes in multiple transcriptomic studies

    Zhiguang Huo, Ying Ding, Silvia Liu, Steffi Oesterreich, George Tseng

    • Resumen

    págs. 27-42

    

  • Collective estimation of multiple bivariate density functions with application to angular-sampling-based protein loop modeling

    Mehdi Maadooliat, Lan Zhou, Seyed Morteza Najibi, Xin Gao, Jianhua Z. Huang

    • Resumen

    págs. 43-56

    

  • Calibrating an ice sheet model using high-dimensional binary spatial data

    Won Chang, Murali Haran, Patrick Applegate, David Pollard

    • Resumen

    págs. 57-72

    

  • Perturbation detection through modeling of gene expression on a latent biological pathway network: : A bayesian hierarchical approach

    Lisa M. Pham, Luis Carvalho, Scott Schaus, Eric D. Kolaczyk

    • Resumen

    págs. 73-92

    

  • A model-based approach to climate reconstruction using tree-ring data

    Matthew R. Schofield, Richard Barker, Andrew Gelman, Edward R. Cook, Keith R. Briffa

    • Resumen

    págs. 93-106

    

  • Constrained maximum likelihood estimation for model calibration using summary-level information from external big data sources

    Nilanjan Chatterjee, Yi-Hau Chen, Paige Maas, Raymond J. Carroll

    • Resumen

    págs. 107-117