Chapter 10 References

Blei, David M., Alp Kucukelbir, and Jon D. McAuliffe. 2017. “Variational Inference: A Review for Statisticians.” Journal of the American Statistical Association 112 (518): 859–77.

Chen, Yen-chi. 2020. “A Short Note on Variational Inference.” http://faculty.washington.edu/yenchic/short_note/note_VarInf.pdf.

Cinar, Ozan, and Wolfgang Viechtbauer. 2022. “The Poolr Package for Combining Independent and Dependent p Values.” Journal of Statistical Software 101: 1–42.

Deville, Jean-Claude, Carl-Erik Särndal, and Olivier Sautory. 1993. “Generalized Raking Procedures in Survey Sampling.” Journal of the American Statistical Association 88 (423): 1013–20.

Efron, Bradley. 1982. The Jackknife, the Bootstrap and Other Resampling Plans. SIAM.

Elliott, Michael R, and Richard Valliant. 2017. “Inference for Nonprobability Samples.” Statistical Science 32 (2): 249–64.

Fisher, Ronald Aylmer. 1932. Statistical Methods for Research Workers. Oliver; Boyd, Edinburgh.

Givens, Geof H, and Adrian E Raftery. 1996. “Local Adaptive Importance Sampling for Multivariate Densities with Strong Nonlinear Relationships.” Journal of the American Statistical Association 91 (433): 132–41.

Groves, Robert M, and Lars Lyberg. 2010. “Total Survey Error: Past, Present, and Future.” Public Opinion Quarterly 74 (5): 849–79.

Gu, Chong. 2013. Smoothing Spline ANOVA Models. Vol. 297. Springer.

Hastie, Trevor, Robert Tibshirani, Jerome H Friedman, and Jerome H Friedman. 2009. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Vol. 2. Springer.

Hernán, Miguel A, and James M Robins. 2020. Causal Inference: What If. Boca Raton: Chapman HallCRC.

Imbens, Guido W., and Donald B. Rubin. 2015. Causal Inference in Statistics, Social, and Biomedical Science. New York: Cambridge University Press.

James, Gareth, Daniela Witten, Trevor Hastie, and Robert Tibshirani. 2013. An Introduction to Statistical Learning. Vol. 112. Springer.

Kleijn, Bas JK, and Aad W Van der Vaart. 2012. “The Bernstein-von-Mises Theorem Under Misspecification.” Electronic Journal of Statistics 6: 354–81.

Lundy, Erin R, and JNK Rao. 2022. “Relative Performance of Methods Based on Model-Assisted Survey Regression Estimation: A Simulation Study.” SURVEY METHODOLOGY 48 (1): 49–71.

Ripley, Brian D. 2009. Stochastic Simulation. John Wiley & Sons.

Rubin, Donald B. 1987. “The Calculation of Posterior Distributions by Data Augmentation: Comment: A Noniterative Sampling/Importance Resampling Alternative to the Data Augmentation Algorithm for Creating a Few Imputations When Fractions of Missing Information Are Modest: The SIR Algorithm.” Journal of the American Statistical Association 82 (398): 543–46.

———. 1988. “Using the SIR Algorithm to Simulate Posterior Distributions.” Bayesian Statistics 3: 395–402.

Simpson, Dan. 2017. “Asymptotically We Are All Dead.” https://statmodeling.stat.columbia.edu/2017/11/27/asymptotically-we-are-all-dead/.

Smith, Adrian FM, and Alan E Gelfand. 1992. “Bayesian Statistics Without Tears: A Sampling–Resampling Perspective.” The American Statistician 46 (2): 84–88.

Stouffer, Samuel A., Edward A. Suchman, Leland C. DeVinney, Shirley A. Star, and Robin M. Williams Jr. 1949. The American soldier: Adjustment during army life. (Studies in social psychology in World War II), vol. 1. Princeton University Press.

Tippett, Leonard Henry Caleb. 1931. The Methods of Statistics. London: Williams & Norgate Ltd.

Valliant, Richard. 1993. “Poststratification and Conditional Variance Estimation.” Journal of the American Statistical Association 88 (421): 89–96.

Valliant, Richard, Jill A Dever, and Frauke Kreuter. 2013. Practical Tools for Designing and Weighting Survey Samples. Vol. 1. Springer.

Van der Vaart, Aad W. 2000. Asymptotic Statistics. Vol. 3. Cambridge university press.

West, Mike. 1993. “Approximating Posterior Distributions by Mixtures.” Journal of the Royal Statistical Society: Series B (Methodological) 55 (2): 409–22.