Journal of the American Statistical Association

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  Año 2006, Vol. 101, Número 476

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    Hidden Markov Models for Microarray Time Course Data in Multiple Biological Conditions

    Christina Kendziorski

    págs. 1323-1332

    
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    Discussion

    págs. 1332-1334

    
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    Discussion

    Dan Nettleton

    págs. 1334-1338

    
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    Rejoinder

    Christina Kendziorski

    págs. 1338-1340

    
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    A Bayesian Approach for Incorporating Variable Rates of Heterogeneity in Linkage Analysis

    Swati Biswas, Shili Lin

    págs. 1341-1351

    
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    Using Wavelet-Based Functional Mixed Models to Characterize Population Heterogeneity in Accelerometer Profiles: A Case Study

    Richard Herrick, Louise Ryan, Brent A. Coull, Steven L. Gortmaker, Jeffrey S. Morris, Cassandra Arroyo

    págs. 1352-1364

    
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    A Nonstationary Negative Binomial Time Series With Time-Dependent Covariates: Enterococcus Counts in Boston Harbor

    James P. Shine, Brent A. Coull, E. Andrés Houseman

    págs. 1365-1376

    
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    Nonparametric Modeling of the Left Censorship of Analytical Data in Food Risk Assessment

    Jessica Tressou

    págs. 1377-1386

    
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    Small-Area Estimation With State-Space Models Subject to Benchmark Constraints

    Danny Pfeffermann, Richard Tiller

    págs. 1387-1397

    
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    What Do Randomized Studies of Housing Mobility Demonstrate?: Causal Inference in the Face of Interference

    Michael E. Sobel

    págs. 1398-1407

    
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    Exceedance Control of the False Discovery Proportion

    Larry Wasserman, Christopher R. Genovese

    págs. 1408-1417

    
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    The Adaptive Lasso and Its Oracle Properties

    págs. 1418-1429

    
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    Estimating Network Loss Rates Using Active Tomography

    Vijayan N. Nair, Bowei Xi, George Michailidis

    págs. 1430-1448

    
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    Focused Information Criteria and Model Averaging for the Cox Hazard Regression Model

    Gerda Claeskens, Nils Lid Hjort

    págs. 1449-1464

    
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    Locally Efficient Estimators for Semiparametric Models With Measurement Error

    Raymond J. Carroll

    págs. 1465-1474

    
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    Robust Estimation of Mixture Complexity

    T. N. Sriram

    págs. 1475-1486

    
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    Bayesian Wombling: Curvilinear Gradient Assessment Under Spatial Process Models

    Sudipto Banerjee, Alan E. Gelfand

    págs. 1487-1501

    
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    A Composite Likelihood Approach in Fitting Spatial Point Process Models

    págs. 1502-1512

    
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    Nonparametric Analysis of Factorial Designs With Random Missingness: Bivariate Data

    Efi S. Antoniou, Michael G. Akritas, Jouni Kuha

    págs. 1513-1526

    
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    Empirical Bayesian Analysis for Computer Experiments Involving Finite-Difference Codes

    Dorin Drignei, Max D. Morris

    págs. 1527-1536

    
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    Fixed-Width Output Analysis for Markov Chain Monte Carlo

    Ronald Neath, Brian S. Caffo, Murali Haran, Galin L. Jones

    págs. 1537-1547

    
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    Inference for Mixtures of Finite Polya Tree Models

    Timothy E. Hanson

    págs. 1548-1565

    
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    Hierarchical Dirichlet Processes

    David M. Blei, Michael I. Jordan, Matthew J. Beal

    págs. 1566-1581

    
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    A Monte Carlo Approach to Filtering for a Class of Marked Doubly Stochastic Poisson Processes

    Marco Minozzo, Silvia Centanni

    págs. 1582-1597

    
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    Generalized Exponential Predictors for Time Series Forecasting

    Robert H. Shumway, Prabir Burman

    págs. 1598-1606

    
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    Regression and Weighting Methods for Causal Inference Using Instrumental Variables

    págs. 1607-1618

    
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    A Distributional Approach for Causal Inference Using Propensity Scores

    págs. 1619-1637

    
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    Fourier Methods for Estimating the Central Subspace and the Central Mean Subspace in Regression

    págs. 1638-1651

    
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    Families of Multivariate Distributions Involving the Rosenblatt Construction

    Enrique Castillo Ron , José María Sarabia Alegría , Barry C. Arnold

    págs. 1652-1662

    
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    Inference on the Number of Species Through Geometric Lower Bounds

    págs. 1663-1670