Volume Information
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Front Matter
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Estimating Risks of Identification Disclosure in Microdata
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Forecasts from Nonrandom Samples: The Election Night Case
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Imputation of Binary Treatment Variables with Measurement Error in Administrative Data
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A Kernel-Based Spatio-Temporal Dynamical Model for Nowcasting Weather Radar Reflectivities
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Maximization by Parts in Likelihood Inference [With Comments, Rejoinder]
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Artificially Augmented Samples, Shrinkage, and Mean Squared Error Reduction
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Robust Estimation in Generalized Partial Linear Models for Clustered Data
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Univariate Nonparametric Regression in the Presence of Auxiliary Covariates
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Combining Linear Regression Models: When and How?
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Efficient Empirical Bayes Variable Selection and Estimation in Linear Models
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Quantiles for Counts
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Nonparametric Estimation of an Additive Quantile Regression Model
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Weighted Estimators for Proportional Hazards Regression with Missing Covariates
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A Pseudo-Partial Likelihood Method for Semiparametric Survival Regression with Covariate Errors
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Hierarchical Mixture Modeling with Normalized Inverse-Gaussian Priors
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On Consistency of Nonparametric Normal Mixtures for Bayesian Density Estimation
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Outlier Robust Model Selection in Linear Regression
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A Generalized Wang-Landau Algorithm for Monte Carlo Computation
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Linear Unmixing of Multivariate Observations: A Structural Model
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A Fast, Optimal Spatial-Prediction Method for Massive Datasets
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Multiscale, Multigranular Statistical Image Segmentation
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Optimal Design for Goodness-of-Fit of the Michaelis-Menten Enzyme Kinetic Function
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Diverging Moments and Parameter Estimation
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A Tale of Two Time Scales: Determining Integrated Volatility with Noisy High-Frequency Data
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Independent Particle Filters
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A Family of Symmetric Distributions on the Circle
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Nonparametric Model Calibration Estimation in Survey Sampling
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Structural Equation Models: A Review with Applications to Environmental Epidemiology
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Telegraphic Reviews
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Back Matter
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