Search Results - "Journal of the American Statistical Association"

Multivariate Regression Analysis for the Item Count Technique by Imai, Kosuke

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Multivariate Meta-Analysis of Heterogeneous Studies Using Only Summary Statistics: Efficiency and Robustness by Liu, Dungang, Liu, Regina Y., Xie, Minge

“…Meta-analysis has been widely used to synthesize evidence from multiple studies for common hypotheses or parameters of interest. However, it has not yet been…”
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Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression by Fenske, Nora, Kneib, Thomas, Hothorn, Torsten

“…We investigated the risk factors for childhood malnutrition in India based on the 2005/2006 Demographic and Health Survey by applying a novel estimation…”
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Martingale Representation for Matching Estimators by Abadie, Alberto, Imbens, Guido W

“…Matching estimators are widely used in statistical data analysis. However, the large sample distribution of matching estimators has been derived only for…”
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Discussion of Cui and Tchetgen Tchetgen (2020) and Qiu et al. (2020) by Zhang, Bo, Pu, Hongming

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Simulated Stochastic Approximation Annealing for Global Optimization With a Square-Root Cooling Schedule by Liang, Faming, Cheng, Yichen, Lin, Guang

“…Simulated annealing has been widely used in the solution of optimization problems. As known by many researchers, the global optima cannot be guaranteed to be…”
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Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models by Scharfstein, Daniel O., Rotnitzky, Andrea, Robins, James M.

“…Consider a study whose design calls for the study subjects to be followed from enrollment (time t = 0) to time t = T, at which point a primary endpoint of…”
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An Ensemble Kalman Filter and Smoother for Satellite Data Assimilation by Stroud, Jonathan R., Stein, Michael L., Lesht, Barry M., Schwab, David J., Beletsky, Dmitry

“…This paper proposes a methodology for combining satellite images with advection-diffusion models for interpolation and prediction of environmental processes…”
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Identifying Intraparty Voting Blocs in the U.K. House of Commons by Spirling, Arthur, Quinn, Kevin

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Testing for Nodal Dependence in Relational Data Matrices by Volfovsky, Alexander, Hoff, Peter D.

“…Relational data are often represented as a square matrix, the entries of which record the relationships between pairs of objects. Many statistical methods for…”
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Improvements on Cross-Validation: The 632+ Bootstrap Method by Efron, Bradley, Tibshirani, Robert

“…A training set of data has been used to construct a rule for predicting future responses. What is the error rate of this rule? This is an important question…”
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Cross-Validation: What Does It Estimate and How Well Does It Do It? by Bates, Stephen, Hastie, Trevor, Tibshirani, Robert

“…Cross-validation is a widely used technique to estimate prediction error, but its behavior is complex and not fully understood. Ideally, one would like to…”
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Estimation and Inference of Heterogeneous Treatment Effects using Random Forests by Wager, Stefan, Athey, Susan

“…Many scientific and engineering challenges-ranging from personalized medicine to customized marketing recommendations-require an understanding of treatment…”
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Matrix Completion Methods for Causal Panel Data Models by Athey, Susan, Bayati, Mohsen, Doudchenko, Nikolay, Imbens, Guido, Khosravi, Khashayar

“…In this article, we study methods for estimating causal effects in settings with panel data, where some units are exposed to a treatment during some periods…”
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The Augmented Synthetic Control Method by Ben-Michael, Eli, Feller, Avi, Rothstein, Jesse

“…The synthetic control method (SCM) is a popular approach for estimating the impact of a treatment on a single unit in panel data settings. The "synthetic…”
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Distribution-Free Predictive Inference for Regression by Lei, Jing, G'Sell, Max, Rinaldo, Alessandro, Tibshirani, Ryan J., Wasserman, Larry

“…We develop a general framework for distribution-free predictive inference in regression, using conformal inference. The proposed methodology allows for the…”
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Variational Inference: A Review for Statisticians by Blei, David M., Kucukelbir, Alp, McAuliffe, Jon D.

“…One of the core problems of modern statistics is to approximate difficult-to-compute probability densities. This problem is especially important in Bayesian…”
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A New Coefficient of Correlation by Chatterjee, Sourav

“…Abstract-Is it possible to define a coefficient of correlation which is (a) as simple as the classical coefficients like Pearson's correlation or Spearman's…”
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Simple Local Polynomial Density Estimators by Cattaneo, Matias D., Jansson, Michael, Ma, Xinwei

“…This article introduces an intuitive and easy-to-implement nonparametric density estimator based on local polynomial techniques. The estimator is fully…”
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Balancing Covariates via Propensity Score Weighting by Li, Fan, Morgan, Kari Lock, Zaslavsky, Alan M.

“…Covariate balance is crucial for unconfounded descriptive or causal comparisons. However, lack of balance is common in observational studies. This article…”
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