| Estimation and Inference of Heterogeneous Treatment Effects using Random Forests |
80 |
| Balancing Covariates via Propensity Score Weighting |
56 |
| The Spike-and-Slab LASSO |
34 |
| On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference |
33 |
| Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains |
28 |
| Randomization Inference for Peer Effects |
24 |
| Principal Component Analysis of High-Frequency Data |
24 |
| Distribution-Free Predictive Inference for Regression |
23 |
| Network Cross-Validation for Determining the Number of Communities in Network Data |
21 |
| Communication-Efficient Distributed Statistical Inference |
21 |
| Constructing Priors that Penalize the Complexity of Gaussian Random Fields |
19 |
| The Bouncy Particle Sampler: A Nonreversible Rejection-Free Markov Chain Monte Carlo Method |
18 |
| Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization |
15 |
| On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments |
15 |
| Robust Bayesian Inference via Coarsening |
14 |
| Identifying Latent Structures in Restricted Latent Class Models |
14 |
| Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection |
14 |
| Optimal Subsampling for Large Sample Logistic Regression |
14 |
| Modeling Spatial Processes with Unknown Extremal Dependence Class |
14 |
| Speeding Up MCMC by Efficient Data Subsampling |
14 |
| Mixture Models With a Prior on the Number of Components |
14 |
| Information-Based Optimal Subdata Selection for Big Data Linear Regression |
13 |
| Learning Optimal Personalized Treatment Rules in Consideration of Benefit and Risk: With an Application to Treating Type 2 Diabetes Patients With Insulin Therapies |
12 |
| Exact p-Values for Network Interference |
12 |
| Frequentist Consistency of Variational Bayes |
11 |
| A Mallows-Type Model Averaging Estimator for the Varying-Coefficient Partially Linear Model |
11 |
| Assessing Time-Varying Causal Effect Moderation in Mobile Health |
11 |
| Model Selection for High-Dimensional Quadratic Regression via Regularization |
11 |
| Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach |
10 |
| Nonparametric Causal Effects Based on Incremental Propensity Score Interventions |
9 |
| Changepoint Detection in the Presence of Outliers |
9 |
| Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and Outcomes |
9 |
| Bayesian Inference in the Presence of Intractable Normalizing Functions |
9 |
| A Permutation Test for the Regression Kink Design |
8 |
| A Unified Framework for Fitting Bayesian Semiparametric Models to Arbitrarily Censored Survival Data, Including Spatially Referenced Data |
8 |
| Functional Graphical Models |
8 |
| Inference Under Covariate-Adaptive Randomization |
8 |
| On Inverse Probability Weighting for Nonmonotone Missing at Random Data |
8 |
| Factor Copula Models for Replicated Spatial Data |
8 |
| Distance Metrics for Measuring Joint Dependence with Application to Causal Inference |
7 |
| Group Regularized Estimation Under Structural Hierarchy |
7 |
| A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data |
7 |
| Identifying Cointegration by Eigenanalysis |
7 |
| On the Use of Reproducing Kernel Hilbert Spaces in Functional Classification |
7 |
| Spatially Dependent Multiple Testing Under Model Misspecification, With Application to Detection of Anthropogenic Influence on Extreme Climate Events |
7 |
| Hidden Population Size Estimation From Respondent-Driven Sampling: A Network Approach |
7 |
| Invariant Inference and Efficient Computation in the Static Factor Model |
7 |
| Interpretable Dynamic Treatment Regimes |
7 |
| A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRI |
7 |
| Decomposing Treatment Effect Variation |
7 |
