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09/19/2023
Frequentist Inference for Semi-mechanistic Epidemic Models with Interventions
The effect of public health interventions on an epidemic are often estim...
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09/13/2023
Simultaneous inference for generalized linear models with unmeasured confounders
Tens of thousands of simultaneous hypothesis tests are routinely perform...
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09/01/2023
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
Most works in causal inference focus on binary treatments where one esti...
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07/08/2023
Robust Universal Inference
In statistical inference, it is rarely realistic that the hypothesized s...
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05/06/2023
The Fundamental Limits of Structure-Agnostic Functional Estimation
Many recent developments in causal inference, and functional estimation ...
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03/10/2023
Feature Importance: A Closer Look at Shapley Values and LOCO
There is much interest lately in explainability in statistics and machin...
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10/10/2022
Sensitivity Analysis for Marginal Structural Models
We introduce several methods for assessing sensitivity to unmeasured con...
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08/04/2022
Background Modeling for Double Higgs Boson Production: Density Ratios and Optimal Transport
We study the problem of data-driven background estimation, arising in th...
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06/07/2022
Median Regularity and Honest Inference
We introduce a new notion of regularity of an estimator called median re...
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03/02/2022
Minimax rates for heterogeneous causal effect estimation
Estimation of heterogeneous causal effects - i.e., how effects of polici...
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01/31/2022
Causal Inference with Orthogonalized Regression Adjustment: Taming the Phantom
Standard regression adjustment gives inconsistent estimates of causal ef...
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12/22/2021
Local permutation tests for conditional independence
In this paper, we investigate local permutation tests for testing condit...
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12/21/2021
Data blurring: sample splitting a single sample
Suppose we observe a random vector X from some distribution P in a known...
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11/21/2021
Decorrelated Variable Importance
Because of the widespread use of black box prediction methods such as ra...
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11/17/2021
Universal Inference Meets Random Projections: A Scalable Test for Log-concavity
Shape constraints yield flexible middle grounds between fully nonparamet...
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07/26/2021
Plugin Estimation of Smooth Optimal Transport Maps
We analyze a number of natural estimators for the optimal transport map ...
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05/30/2021
The HulC: Confidence Regions from Convex Hulls
We develop and analyze the HulC, an intuitive and general method for con...
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04/29/2021
Gaussian Universal Likelihood Ratio Testing
The likelihood ratio test (LRT) based on the asymptotic chi-squared dist...
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03/08/2021
Forest Guided Smoothing
We use the output of a random forest to define a family of local smoothe...
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03/07/2021
Causal Inference in the Time of Covid-19
In this paper we develop statistical methods for causal inference in epi...
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02/24/2021
Semiparametric counterfactual density estimation
Causal effects are often characterized with averages, which can give an ...
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02/22/2021
Interactive identification of individuals with positive treatment effect while controlling false discoveries
Out of the participants in a randomized experiment with anticipated hete...
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02/15/2021
Model-Independent Detection of New Physics Signals Using Interpretable Semi-Supervised Classifier Tests
A central goal in experimental high energy physics is to detect new phys...
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09/13/2020
Which Wilcoxon should we use? An interactive rank test and other alternatives
Classical nonparametric tests to compare multiple samples, such as the W...
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07/19/2020
Berry-Esseen Bounds for Projection Parameters and Partial Correlations with Increasing Dimension
The linear regression model can be used even when the true regression fu...
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06/26/2020
The huge Package for High-dimensional Undirected Graph Estimation in R
We describe an R package named huge which provides easy-to-use functions...
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03/30/2020
Minimax optimality of permutation tests
Permutation tests are widely used in statistics, providing a finite-samp...
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02/20/2020
Familywise Error Rate Control by Interactive Unmasking
We propose a method for multiple hypothesis testing with familywise erro...
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02/07/2020
Efficient Topological Layer based on Persistent Landscapes
We propose a novel topological layer for general deep learning models ba...
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01/10/2020
Trend Filtering – II. Denoising Astronomical Signals with Varying Degrees of Smoothness
Trend filtering—first introduced into the astronomical literature in Pap...
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01/09/2020
Minimax Optimal Conditional Independence Testing
We consider the problem of conditional independence testing of X and Y g...
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12/24/2019
Universal Inference Using the Split Likelihood Ratio Test
We propose a general method for constructing hypothesis tests and confid...
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10/07/2019
Gaussian Mixture Clustering Using Relative Tests of Fit
We consider clustering based on significance tests for Gaussian Mixture ...
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09/17/2019
Minimax Confidence Intervals for the Sliced Wasserstein Distance
The Wasserstein distance has risen in popularity in the statistics and m...
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09/16/2019
Interactive Martingale Tests for the Global Null
Global null testing is a classical problem going back about a century to...
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08/20/2019
L_1 Trend Filtering: A Modern Statistical Tool for Time-Domain Astronomy and Astronomical Spectroscopy
The problem of estimating a one-dimensional signal possessing mixed degr...
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03/19/2019
Predictive Clustering
We show how to convert any clustering into a prediction set. This has th...
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03/16/2019
Nerve Theorem on a Positive Reach set
We provide sufficient conditions under which any non-empty intersection ...
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12/28/2018
Hybrid Wasserstein Distance and Fast Distribution Clustering
We define a modified Wasserstein distance for distribution clustering wh...
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10/13/2018
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Dimension
We derive concentration inequalities for the supremum norm of the differ...
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09/20/2018
Distribution-Free Prediction Sets with Random Effects
We consider the problem of constructing distribution-free prediction set...
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05/24/2018
Cautious Deep Learning
Most classifiers operate by selecting the maximum of an estimate of the ...
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05/10/2018
Analysis of a Mode Clustering Diagram
Mode-based clustering methods define clusters to be the basins of attrac...
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03/02/2018
Robust Multivariate Nonparametric Tests via Projection-Pursuit
In this work, we generalize the Cramér-von Mises statistic via projectio...
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12/17/2017
Hypothesis Testing for High-Dimensional Multinomials: A Selective Review
The statistical analysis of discrete data has been the subject of extens...
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06/30/2017
Hypothesis Testing For Densities and High-Dimensional Multinomials: Sharp Local Minimax Rates
We consider the goodness-of-fit testing problem of distinguishing whethe...
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09/02/2016
Least Ambiguous Set-Valued Classifiers with Bounded Error Levels
In most classification tasks there are observations that are ambiguous a...
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06/01/2016
Finding Singular Features
We present a method for finding high density, low-dimensional structures...
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05/20/2016
Statistical Inference for Cluster Trees
A cluster tree provides a highly-interpretable summary of a density func...
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04/14/2016
