VOL. 33 · NO. 2 | May 2018
 
VIEW ALL ABSTRACTS +
Frontmatter
Statist. Sci. 33 (2), (May 2018)
No abstract available
Statist. Sci. 33 (2), (May 2018)
No abstract available
Articles
Julie Josse, Jerome P. Reiter
Statist. Sci. 33 (2), 139-141, (May 2018) DOI: 10.1214/18-STS332IN
No abstract available
Jared S. Murray
Statist. Sci. 33 (2), 142-159, (May 2018) DOI: 10.1214/18-STS644
KEYWORDS: missing data, proper imputation, Congeniality, chained equations, fully conditional specification, sequential regression multivariate imputation
Vincent Audigier, Ian R. White, Shahab Jolani, Thomas P. A. Debray, Matteo Quartagno, James Carpenter, Stef van Buuren, Matthieu Resche-Rigon
Statist. Sci. 33 (2), 160-183, (May 2018) DOI: 10.1214/18-STS646
KEYWORDS: missing data, systematically missing values, multilevel data, mixed data, multiple imputation, joint modelling, fully conditional specification
Shaun R. Seaman, Stijn Vansteelandt
Statist. Sci. 33 (2), 184-197, (May 2018) DOI: 10.1214/18-STS647
KEYWORDS: Augmented inverse probability weighting, calibration estimators, data-adaptive methods, doubly robust, empirical likelihood, imputation, inverse probability weighting, missing data, semiparametric methods
Antonio R. Linero, Michael J. Daniels
Statist. Sci. 33 (2), 198-213, (May 2018) DOI: 10.1214/17-STS630
KEYWORDS: missing data, MNAR, Mixture models, multiple imputation, nonignorable missingness, nonparametric Bayes
Peng Ding, Fan Li
Statist. Sci. 33 (2), 214-237, (May 2018) DOI: 10.1214/18-STS645
KEYWORDS: Assignment mechanism, ignorability, imputation, missing data mechanism, observational studies, potential outcome, propensity score, Randomization, weighting
William Fithian, Rahul Mazumder
Statist. Sci. 33 (2), 238-260, (May 2018) DOI: 10.1214/18-STS642
KEYWORDS: Matrix completion, nuclear norm regularization, matrix factorization, Convex optimization, missing data
Yifei Sun, Jing Qin, Chiung-Yu Huang
Statist. Sci. 33 (2), 261-276, (May 2018) DOI: 10.1214/17-STS638
KEYWORDS: Kendall’s tau, inverse probability weighted estimator, outcome-dependent sampling, prevalent sampling, self-consistency algorithm
Glenn Shafer
Statist. Sci. 33 (2), 277-284, (May 2018) DOI: 10.1214/17-STS639
KEYWORDS: Dice games, emergence of probability, De vetula, expectation
Marie-France Bru, Bernard Bru
Statist. Sci. 33 (2), 285-297, (May 2018) DOI: 10.1214/17-STS640
KEYWORDS: De vetula, Dice games, History of probability, Huygens, Jacob Bernoulli, Laplace, Montmort, Normal approximation
Back to Top