Aad van der Vaart - Selected Publications#

H-index 60, 34830 citations (Google Scholar, May 2023)

Franssen, S.E.M.P. and van der Vaart, A.W., (2022). Bernstein-von Mises theorem for the Pitman-Yor process of nonnegative type. Electronic Journal of Statistics 16, 5779-5811.

Mu ̈nch, M.M., Peeters, C.F.W., van der Vaart, A.W. and van de Wiel, M.A., (2021). Adaptive group-regularized logistic elastic net regression. Biostatistics 22, 723-737.

van der Vaart, A.W. and Wellner, J.A., (2021). Stein 1956: Efficient Non- parametric Testing and Estimation. Annals of Statistics 49, 1836-1849.

Sniekers, S. and van der Vaart, A.W., (2020). Adaptive Bayesian credible bands in regression with a Gaussian process prior. Sankhya A 82, 386-425.

Ray, K. and van der Vaart, A.W., (2020). Semiparametric Bayesian causal inference. Annals of Statistics 48, 2999-3020.

Yan, D., Gugushvili, S. and van der Vaart, A.W., (2020). Bayesian linear inverse problems in regularity scales. Annales de l’Institut Henri Poincar ́e 56, 2081-2107.

Gao, C., van der Vaart, A.W. and Zhou, H., (2019). A general framework for Bayes structured linear models. Annals of Statistics 48, 2848-2878.

van der Pas, S. and van der Vaart, A.W., (2018). Bayesian community detection. Bayesian Analysis 13, 767-796.

Gao, F., van der Vaart, A.W., Castro, R. and van der Hofstad, R., (2017). Consistent Estimation in General Sublinear Preferential Attachment Trees. Electronic Journal of Statistics 11, 3979-3999.

van der Pas, S., Szab ́o, B. and van der Vaart, A.W., (2017). Uncertainty quantification for the horseshoe (discussion paper). Bayesian Analysis 12, 1221-1274.

Knapik, B., Szabó, B., van der Vaart, A.W. and van Zanten, J.H., (2016). Bayes procedures for adaptive inference in inverse problems for the white noise model. Probability Theory and Related Fields 164, 771-813.

Castillo, I., Schmidt-Hieber, J. and van der Vaart, A.W., (2015). Bayesian linear regression with sparse priors. Annals of Statistics 43, 186-218.

Szabó, B., van der Vaart, A.W. and van Zanten, J.H., (2015). Frequentist coverage and adaptation of nonparametric Bayesian credible sets (Discussion paper). Annals of Statistics 43, 1391-1428.

Castillo, I. and van der Vaart, A.W., (2012). Needles and Straws in a Haystack: Posterior concentration for possibly sparse sequences. Annals of Statistics 40, 2069-2101.

Ghosal, S. and van der Vaart, A.W., (2017). Fundamentals of Nonparametric Bayesian Inference, 1-614. Cambridge University Press.

van der Vaart, A.W., (1998). Asymptotic Statistics, 1-496. Cambridge University Press, Cambridge.

van der Vaart, A.W. and Wellner, J.A., (1996). Weak Convergence and Empirical Processes, 1-504.