Aad W. Van Der Vaart
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Aad W. Van Der Vaartmathematics Degrees
Mathematics
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Statistics
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#621
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Mathematics
Aad W. Van Der Vaart's Degrees
- PhD Mathematics University of Amsterdam
Why Is Aad W. Van Der Vaart Influential?
(Suggest an Edit or Addition)Aad W. Van Der Vaart's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Weak Convergence and Empirical Processes: With Applications to Statistics (1996) (5739)
- Asymptotic Statistics: Frontmatter (1998) (1470)
- Convergence rates of posterior distributions (2000) (756)
- Uniform Central Limit Theorems (2001) (638)
- Asymptotic Statistics: U -Statistics (1998) (630)
- Fundamentals of Nonparametric Bayesian Inference (2017) (442)
- Asymptotic Statistics: Delta Method (1998) (351)
- Entropies and rates of convergence for maximum likelihood and Bayes estimation for mixtures of normal densities (2001) (321)
- BAYESIAN LINEAR REGRESSION WITH SPARSE PRIORS (2014) (317)
- Maximum Likelihood Estimation in the Proportional Odds Model (1997) (287)
- Convergence rates of posterior distributions for non-i.i.d. observations (2007) (259)
- Posterior convergence rates of Dirichlet mixtures at smooth densities (2007) (221)
- Needles and Straw in a Haystack: Posterior concentration for possibly sparse sequences (2012) (218)
- Breakpoint identification and smoothing of array comparative genomic hybridization data (2004) (207)
- Regularization in statistics (2006) (201)
- Misspecification in infinite-dimensional Bayesian statistics (2006) (196)
- Higher order influence functions and minimax estimation of nonlinear functionals (2008) (196)
- BAYESIAN INVERSE PROBLEMS WITH GAUSSIAN PRIORS (2011) (188)
- Information Rates of Nonparametric Gaussian Process Methods (2011) (174)
- The Bernstein-Von-Mises theorem under misspecification (2012) (171)
- Lectures on probability theory and statistics (2002) (154)
- The Horseshoe Estimator: Posterior Concentration around Nearly Black Vectors (2014) (149)
- Oracle inequalities for multi-fold cross validation (2006) (146)
- The Cross-Validated Adaptive Epsilon-Net Estimator (2006) (139)
- Empirical processes indexed by estimated functions (2007) (124)
- Adaptive Bayesian density estimation with location-scale mixtures (2010) (122)
- Preservation Theorems for Glivenko-Cantelli and Uniform Glivenko-Cantelli Classes (2000) (122)
- Nonparametric inference for Lévy-driven Ornstein-Uhlenbeck processes (2005) (111)
- On Differentiable Functionals (1991) (110)
- Adaptive nonparametric confidence sets (2006) (97)
- Statistical estimation in large parameter spaces (1988) (97)
- Nonparametric Bayesian model selection and averaging (2008) (95)
- Asymptotic Statistics by A. W. van der Vaart (1998) (93)
- Minimax estimation of a functional on a structured high-dimensional model (2017) (86)
- Efficient maximum likelihood estimation in semiparametric mixture models (1996) (85)
- Semiparametric likelihood ratio inference (1997) (84)
- Bayesian inference with rescaled Gaussian process priors (2007) (80)
- Chromosomal Breakpoint Detection in Human Cancer (2003) (80)
- Observed information in semi-parametric models (1999) (72)
- Feature selection in proteomic pattern data with support vector machines (2004) (72)
- Empirical Bayes scaling of Gaussian priors in the white noise model (2013) (62)
- Uncertainty Quantification for the Horseshoe (with Discussion) (2016) (60)
- Adaptive posterior contraction rates for the horseshoe (2017) (57)
- An Asymptotic Representation Theorem (1991) (52)
- New Donsker classes (1996) (50)
- Testing monotonicity of a regression function. (2000) (49)
- Estimating a survival distribution with current status data and high-dimensional covariates (2006) (49)
- On the Asymptotic Information Bound (1989) (45)
- Cross-platform array comparative genomic hybridization meta-analysis separates hematopoietic and mesenchymal from epithelial tumors (2007) (45)
- Higher Order Tangent Spaces and Influence Functions (2014) (43)
- Posterior convergence rates for Dirichlet mixtures of beta densities (2008) (39)
- Weak Convergence of Smoothed Empirical Processes (1994) (38)
- Estimating a Real Parameter in a Class of Semiparametric Models (1988) (36)
- Rejoinder to discussion of ``On Profile Likelihood''. (2000) (36)
- Current Status Regression (1999) (34)
- Statistical analysis of the cancer cell's molecular entropy using high-throughput data (2011) (34)
- Experimental evaluation of iterative reconstruction versus filtered back projection for 3D [15O]water PET activation studies using statistical parametric mapping analysis (2003) (33)
- Donsker theorems for diffusions: Necessary and sufficient conditions (2005) (33)
- A Test for Partial Differential Expression (2008) (29)
- Semiparametric Mixtures in Case-Control Studies (2001) (28)
- Maximum Likelihood Estimation with Partially Censored Data (1994) (27)
- Honest Bayesian confidence sets for the L2-norm (2013) (27)
- Maximum likelihood estimation under a spatial sampling scheme (1996) (27)
- Bracketing smooth functions (1994) (26)
- On the Asymptotic Normality of Estimating the Affine Preferential Attachment Network Models with Random Initial Degrees (2016) (26)
- Rates of Convergence (1996) (24)
- On universal Bayesian adaptation (2007) (23)
- Likelihood Inference in the Errors-in-Variables Model (1996) (21)
- Tail dependence of skewed grouped t-distributions (2008) (21)
- Smooth estimation of a monotone density (2003) (21)
- Rejoinder to discussion of ``The asymptotic distribution of P-values in composite'' null models. (2000) (20)
- Semiparametric Bayesian causal inference (2018) (20)
- Existence and consistency of maximum likelihood in upgraded mixture models (1992) (19)
- Analysis of Proteomic Pattern Data for Cancer Detection (2004) (19)
- Dynamics underlying spontaneous human alpha oscillations: A data-driven approach (2011) (18)
- Credible sets in the fixed design model with Brownian motion prior (2015) (16)
- The Delta-Method (1996) (16)
- Posterior contraction rates for deconvolution of Dirichlet-Laplace mixtures (2015) (15)
- Finding clusters using support vector classifiers (2003) (15)
- Regularization in statistics: Discussion (2006) (15)
- A semi-parametric model for censored and passively registered data (2001) (14)
- Effects of attenuation correction and reconstruction method on PET activation studies (2003) (14)
- Uncertainty quantification for the horseshoe (2016) (13)
- EFFICIENCY AND HADAMARD DIFFERENTIABILITY (1988) (13)
- Consistency of semiparametric maximum likelihood estimators for two‐phase sampling (2001) (13)
- Glivenko–Cantelli Theorems (1996) (10)
- Bayesian Community Detection (2016) (10)
- Modeling Association Between Dna Copy Number and Gene Expression with Constrained Piecewise Linear Regression Splines (2013) (10)
- Consistent Estimation in General Sublinear Preferential Attachment Trees (2017) (10)
- Semiparametric Bayesian causal inference using Gaussian process priors (2018) (9)
- The Two-Sample Problem (1996) (9)
- Bayesian linear inverse problems in regularity scales (2018) (9)
- How many needles in the haystack? Adaptive inference and uncertainty quantification for the horseshoe (2016) (8)
- Efficiency of Tests (1998) (7)
- Accurate prediction of a minimal region around a genetic association signal that contains the causal variant (2013) (7)
- MLE in the proportional odds model (1996) (7)
- State of the art in probability and statistics. Festschrift for Willem R. van Zwet (Leiden, 1999) (2001) (5)
- An Introduction to Mathematical Statistics (2017) (5)
- Dirichlet Process Mixtures (2017) (5)
- Asymptotic Statistics: Semiparametric Models (1998) (5)
- Robust inference with higher order influence functions: Part I, Part II (2005) (5)
- STOCHASTIC PROCESSES FOR FINANCE RISK MANAGEMENT TOOLS (2007) (4)
- Convergence: Weak, Almost Uniform, and in Probability (1996) (4)
- Estimation of average mortality under censoring and truncation (2005) (3)
- Convolution and Minimax Theorems (1996) (3)
- Empirical assessment of the validity of the ‘fundamental theorem of the HapMap’ in the light of ‘cryptic’ tagging of multiple susceptibility loci (2008) (3)
- Corrigendum to: "Tail dependence of skewed grouped t-distributions" [Statist. Probab. Lett. 78 (2008) 2388-2399] (2009) (3)
- A note on bounds for the VC dimensions of unions, intersections, and products of VC classes (2009) (3)
- Estimating a parameter in incidental and struct ural models by approximate maximum likelihood (1988) (3)
- On the Bernstein-von Mises theorem for the Dirichlet process (2020) (3)
- Robust Inference with Higher Order Inuence Functions : Part II (2005) (2)
- Asymptotic Statistics: Bayes Procedures (1998) (2)
- Chi-Square Tests (1998) (2)
- Asymptotic Statistics: Empirical Processes (1998) (2)
- Asymptotic Statistics: Functional Delta Method (1998) (2)
- onbekend [Review of: Efficient and adaptive estimation for semiparametric models.] (2000) (2)
- Gaussian Process Priors (2017) (2)
- Independence Empirical Processes (1996) (2)
- Statistical Inference in Parametric Preferential Attachment Trees (2021) (1)
- SUPPLEMENT TO ‘NEEDLES AND STRAWS IN A HAYSTACK: POSTERIOR CONCENTRATION FOR POSSIBLY SPARSE SEQUENCES’ (2012) (1)
- Analyzing posteriors by the information inequality (2013) (1)
- Discussion: " Coverage of Bayesian Credible Sets " (2014) (1)
- Priors on Spaces of Probability Measures (2017) (1)
- Branching Particle Systems and Dawson-Watanabe Superprocesses (2002) (1)
- Other Donsker Classes (1996) (1)
- Convergence rates of nonparametric posteriors (2003) (1)
- Preservation Theorems for G livenko-Cantelli and Uniform G livenko-Cantelli Classes (2000) (1)
- Spaces of Bounded Functions (1996) (1)
- Asymptotic Statistics: Local Asymptotic Normality (1998) (1)
- The Central Limit Theorem for Processes (1996) (1)
- Incorporating prior information and borrowing information in high-dimensional sparse regression using the horseshoe and variational Bayes. (2019) (1)
- Multiplier Central Limit Theorems (1996) (1)
- Lecture: Maximum and Profile Likelihood (2002) (1)
- Uniform Entropy Numbers (1996) (1)
- Polynomials, Splines and Wavelets (2017) (0)
- Very High Dimensional Semiparametric Models (2011) (0)
- Contraction Rates: Examples (2017) (0)
- Partial-Sum Processes (1996) (0)
- Lecture: Calculus of Scores (2002) (0)
- Feature selection based on support sector machines for proteomic pattern data (2004) (0)
- LIKELIHOOD INFERENCEIN THE ERRORS-IN-VARIABLES MODELBY (1996) (0)
- Completely Random Measures (2017) (0)
- Asymptotic Statistics: Contiguity (1998) (0)
- Finding clusters using suppport classifiers (2003) (0)
- Submitted to the Annals of Statistics ADAPTIVE BAYESIAN DENSITY ESTIMATION WITH LOCATION-SCALE MIXTURES By (2009) (0)
- Packing, Covering, Bracketing and Entropy Numbers (2017) (0)
- Random Sample Size, Poissonization and Kac Processes (1996) (0)
- Asymptotic Statistics: Likelihood Ratio Tests (1998) (0)
- Statistics in high dimensions (2016) (0)
- Convergence: Almost Surely and in Probability (1996) (0)
- Discrete Random Structures (2017) (0)
- Asymptotic Statistics: Projections (1998) (0)
- Lecture: Introduction, Tangent Sets (2002) (0)
- Finite-Dimensional Dirichlet Distribution (2017) (0)
- Estimating and testing linkage disequilibrium from sib data (2011) (0)
- Observed Information in Semiparametric ModelsS (1998) (0)
- Lecture: Gaussian Approximations (2002) (0)
- Elements of Markov Chain Monte Carlo (2017) (0)
- Lecture: Empirical Processes and Normality of Z-Estimators (2002) (0)
- Uniformity in the Underlying Distribution (1996) (0)
- Inverse-Gaussian Distribution (2017) (0)
- Lecture: Empirical Processes and Consistency of Z-Estimators (2002) (0)
- Statistical estimation for Lévy driven OU-processes and Brownian semimartingales (2001) (0)
- Infinite-Dimensional Bernstein–von Mises Theorem (2017) (0)
- Inequalities and Estimates (2017) (0)
- Adaptation and Model Selection (2017) (0)
- Outer Integrals and Measurable Majorants (1996) (0)
- Space of Probability Densities (2017) (0)
- Symmetrization and Measurability (1996) (0)
- Asymptotic Statistics: Rank, Sign, and Permutation Statistics (1998) (0)
- A Local Maximal Inequality under (2010) (0)
- On Robins’ formula (2004) (0)
- Asymptotic Statistics: Introduction (1998) (0)
- Lecture: Efficient Score and One-step Estimators (2002) (0)
- Sample Path Properties of Superprocesses (2002) (0)
- Stein 1956: Efficient nonparametric testing and estimation (2021) (0)
- Asymptotic Statistics: Nonparametric Density Estimation (1998) (0)
- Spaces of Locally Bounded Functions (1996) (0)
- Consistency: General Theory (2017) (0)
- Bayesian tolerance regions with an application to linear mixed models (2022) (0)
- Proceedings of the International Congress of Mathematicians Hyderabad, India, 2010 (2010) (0)
- Lecture: Rates of Convergence (2002) (0)
- Relative Efficiency of Tests (1998) (0)
- Space of Probability Measures (2017) (0)
- The Ball Sigma-Field and Measurability of Suprema (1996) (0)
- One-dimensional pinning-depinning transitions (2002) (0)
- The Cancer Cell, Its Entropy, and High-Dimensional Molecular Data (2013) (0)
- Statistics for genetic linkage and association studies (2007) (0)
- Quantiles and Order Statistics (1998) (0)
- Maximal Inequalities and Covering Numbers (1996) (0)
- Asymptotic Statistics: Moment Estimators (1998) (0)
- Lecture: Infinite-dimensional Z-Estimators (2002) (0)
- Special issue on Bayesian nonparametrics (2015) (0)
- Asymptotic Statistics: Efficiency of Estimators (1998) (0)
- Contraction Rates: General Theory (2017) (0)
- Asymptotic Statistics: Limits of Experiments (1998) (0)
- 7th Workshop on Bayesian Nonparametrics (2009) (0)
- Asymptotic Statistics: Stochastic Convergence in Metric Spaces (1998) (0)
- Permanence of the Donsker Property (1996) (0)
- Elements of Empirical Processes (2017) (0)
- Priors on Function Spaces (2017) (0)
- Modeling portfolio default risk with emphasis on dependency, extreme event and robust statistical procedures (2003) (0)
- Uniformity and Metrization (1996) (0)
- Lecture: Lower Bounds (2002) (0)
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