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07/24/2023
Negative binomial count splitting for single-cell RNA sequencing data
The analysis of single-cell RNA sequencing (scRNA-seq) data often involv...
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06/23/2023
Valid inference after prediction
Recent work has focused on the very common practice of prediction-based ...
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03/22/2023
Generalized Data Thinning Using Sufficient Statistics
Our goal is to develop a general strategy to decompose a random variable...
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01/18/2023
Data thinning for convolution-closed distributions
We propose data thinning, a new approach for splitting an observation in...
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11/02/2022
Inferring independent sets of Gaussian variables after thresholding correlations
We consider testing whether a set of Gaussian variables, selected from t...
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07/01/2022
Inference after latent variable estimation for single-cell RNA sequencing data
In the analysis of single-cell RNA sequencing data, researchers often ch...
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09/21/2021
More powerful selective inference for the graph fused lasso
The graph fused lasso – which includes as a special case the one-dimensi...
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12/05/2020
Selective Inference for Hierarchical Clustering
Testing for a difference in means between two groups is fundamental to a...
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01/05/2020
Exponential inequalities for dependent V-statistics via random Fourier features
We establish exponential inequalities for a class of V-statistics under ...
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10/09/2019
Testing for a Change in Mean After Changepoint Detection
While many methods are available to detect structural changes in a time ...
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10/08/2019
Controlling Costs: Feature Selection on a Budget
The traditional framework for feature selection treats all features as c...
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09/25/2019
Testing for Association in Multi-View Network Data
In this paper, we consider data consisting of multiple networks, each co...
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02/27/2019
Optimal estimation of variance in nonparametric regression with random design
Consider the heteroscedastic nonparametric regression model with random ...
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02/07/2019
Modeling microbial abundances and dysbiosis with beta-binomial regression
Using a sample from a population to estimate the proportion of the popul...
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02/07/2019
Tail behavior of dependent V-statistics and its applications
We establish exponential inequalities and Cramer-type moderate deviation...
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01/12/2019
Are Clusterings of Multiple Data Views Independent?
In the Pioneer 100 (P100) Wellness Project (Price and others, 2017), mul...
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11/29/2018
The Multiple Random Dot Product Graph Model
Data in the form of graphs, or networks, arise naturally in a number of ...
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10/18/2018
Distributionally Robust Reduced Rank Regression and Principal Component Analysis in High Dimensions
We propose robust sparse reduced rank regression and robust sparse princ...
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02/21/2018
Fast Nonconvex Deconvolution of Calcium Imaging Data
Calcium imaging data promises to transform the field of neuroscience by ...
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10/13/2014
Convex Modeling of Interactions with Strong Heredity
We consider the task of fitting a regression model involving interaction...
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09/18/2014
Fused Lasso Additive Model
We consider the problem of predicting an outcome variable using p covari...
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07/29/2014
Sure Screening for Gaussian Graphical Models
We propose graphical sure screening, or GRASS, a very simple and computa...
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05/16/2014
Selection Bias Correction and Effect Size Estimation under Dependence
We consider large-scale studies in which it is of interest to test a ver...
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02/28/2014
Learning Graphical Models With Hubs
We consider the problem of learning a high-dimensional graphical model i...
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01/12/2014
Inference in High Dimensions with the Penalized Score Test
In recent years, there has been considerable theoretical development reg...
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07/19/2013
The Cluster Graphical Lasso for improved estimation of Gaussian graphical models
We consider the task of estimating a Gaussian graphical model in the hig...
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03/21/2013