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Honest Confidence Sets for High-Dimensional Regression by Projection and Shrinkage

期刊: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2023; 118 (541)

The issue of honesty in constructing confidence sets arises in nonparametric regression. While optimal rate in nonparametric estimation can be achieve......

Semiparametric Efficiency in Convexity Constrained Single-Index Model

期刊: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2023; 118 (541)

We consider estimation and inference in a single-index regression model with an unknown convex link function. We introduce a convex and Lipschitz cons......

Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving Averages

期刊: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2023; 118 (541)

The vector autoregressive moving average (VARMA) model is fundamental to the theory of multivariate time series; however, identifiability issues have ......

Multivariate Temporal Point Process Regression

期刊: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2023; 118 (542)

Point process modeling is gaining increasing attention, as point process type data are emerging in a large variety of scientific applications. In this......

Model-Robust Inference for Clinical Trials that Improve Precision by Stratified Randomization and Covariate Adjustment

期刊: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2023; 118 (542)

Two commonly used methods for improving precision and power in clinical trials are stratified randomization and covariate adjustment. However, many tr......

Evaluating Association Between Two Event Time Observations Subject to informative Censoring

期刊: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2023; 118 (542)

This article is concerned with evaluating the association between two event times without specifying the joint distribution parametrically. This is pa......

A General Framework for Inference on Algorithm-Agnostic Variable Importance

期刊: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2023; 118 (543)

In many applications, it is of interest to assess the relative contribution of features (or subsets of features) toward the goal of predicting a respo......

Query-Augmented Active Metric Learning

期刊: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2023; 118 (543)

In this article, we propose an active metric learning method for clustering with pairwise constraints. The proposed method actively queries the label ......

Adaptive Conditional Distribution Estimation with Bayesian Decision Tree Ensembles

期刊: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2023; 118 (543)

We present a Bayesian nonparametric model for conditional distribution estimation using Bayesian additive regression trees (BART). The generative mode......

Bayesian Inference Using Synthetic Likelihood: Asymptotics and Adjustments

期刊: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2023; 118 (544)

Implementing Bayesian inference is often computationally challenging in complex models, especially when calculating the likelihood is difficult. Synth......

Genetic Underpinnings of Brain Structural Connectome for Young Adults

期刊: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2023; 118 (543)

With distinct advantages in power over behavioral phenotypes, brain imaging traits have become emerging endophenotypes to dissect molecular contributi......

Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model

期刊: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2023; 118 (543)

Understanding how microbes interact with each other is key to revealing the underlying role that microorganisms play in the host or environment and to......

Bayesian Conditional Transformation Models

期刊: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2023; ()

Recent developments in statistical regression methodology shift away from pure mean regression towards distributional regression models. One important......

Anytime-Valid Tests of Conditional Independence Under Model-X

期刊: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2023; ()

We propose a sequential, anytime-valid method to test the conditional independence of a response Y and a predictor X given a random vector Z. The prop......

Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird-Plant Interactions

期刊: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2023; 118 (544)

Reductions in natural habitats urge that we better understand species' interconnection and how biological communities respond to environmental changes......

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