| Multiple Imputation for Multilevel Data with Continuous and Binary Variables |
15 |
| Probabilistic Integration: A Role in Statistical Computation? |
14 |
| Multiple Imputation: A Review of Practical and Theoretical Findings |
13 |
| Approximate Bayesian Computation and Simulation-Based Inference for Complex Stochastic Epidemic Models |
9 |
| A Review of Self-Exciting Spatio-Temporal Point Processes and Their Applications |
8 |
| Lasso Meets Horseshoe: A Survey |
8 |
| Bayesian Approaches for Missing Not at Random Outcome Data: The Role of Identifying Restrictions |
7 |
| Piecewise Deterministic Markov Processes for Continuous-Time Monte Carlo |
7 |
| Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition |
7 |
| Generalized Multiple Importance Sampling |
6 |
| A Unified Theory of Confidence Regions and Testing for High-Dimensional Estimating Equations |
6 |
| Introduction to Double Robust Methods for Incomplete Data |
6 |
| Causal Inference: A Missing Data Perspective |
6 |
| Recent Progress in Log-Concave Density Estimation |
5 |
| Evidence Synthesis for Stochastic Epidemic Models |
5 |
| Modeling and Inference for Infectious Disease Dynamics: A Likelihood-Based Approach |
5 |
| Comparison and Assessment of Epidemic Models |
4 |
| Bayesian Nonparametrics for Stochastic Epidemic Models |
4 |
| Nonparametric Shape-Restricted Regression |
4 |
| An Overview of Semiparametric Extensions of Finite Mixture Models |
4 |
| Bayes, Oracle Bayes and Empirical Bayes |
4 |
| Statistical Analysis of Zero-Inflated Nonnegative Continuous Data: A Review |
4 |
| Two-Sample Instrumental Variable Analyses Using Heterogeneous Samples |
3 |
| User-Friendly Covariance Estimation for Heavy-Tailed Distributions |
3 |
| Confidentiality and Differential Privacy in the Dissemination of Frequency Tables |
3 |
| How the Instability of Ranks Under Long Memory Affects Large-Sample Inference |
3 |
| Estimating Transmission from Genetic and Epidemiological Data: A Metric to Compare Transmission Trees |
3 |
| Some Developments in the Theory of Shape Constrained Inference |
2 |
| Limit Theory in Monotone Function Estimation |
2 |
| A Framework for Estimation and Inference in Generalized Additive Models with Shape and Order Restrictions |
2 |
| The Geometry of Continuous Latent Space Models for Network Data |
2 |
| Assessing the Causal Effect of Binary Interventions from Observational Panel Data with Few Treated Units |
2 |
| Fractionally Differenced Gegenbauer Processes with Long Memory: A Review |
2 |
| Flexible Low-Rank Statistical Modeling with Missing Data and Side Information |
1 |
| Producing Official County-Level Agricultural Estimates in the United States: Needs and Challenges |
1 |
| Shape Constrained Density Estimation Via Penalized Renyi Divergence |
1 |
| Methods for Estimation of Convex Sets |
1 |
| Models as Approximations I: Consequences Illustrated with Linear Regression |
1 |
| ROS Regression: Integrating Regularization with Optimal Scaling Regression |
1 |
| When Is a Sensitivity Parameter Exactly That? |
1 |
| A Conversation with S. R. S. Varadhan |
0 |
| Richard Price, the First Bayesian |
0 |
| Conditionally Conjugate Mean-Field Variational Bayes for Logistic Models |
0 |
| A Conversation with Dick Dudley |
0 |
| Gaussian Integrals and Rice Series in Crossing Distributions-to Compute the Distribution of Maxima and Other Features of Gaussian Processes |
0 |
| A Conversation with Piet Groeneboom |
0 |
| Models as Approximations II: A Model-Free Theory of Parametric Regression |
0 |
| A Conversation with Jon Wellner |
0 |
| On the Relationship between the Theory of Cointegration and the Theory of Phase Synchronization |
0 |
| Self-Exciting Point Processes: Infections and Implementations |
0 |
