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04/30/2023
Bayesian Finite Mixtures of Ising Models
We introduce finite mixtures of Ising models as a novel approach to stud...
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03/19/2023
Skeleton Regression: A Graph-Based Approach to Estimation with Manifold Structure
We introduce a new regression framework designed to deal with large-scal...
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07/05/2022
Handling Nonmonotone Missing Data with Available Complete-Case Missing Value Assumption
Nonmonotone missing data is a common problem in scientific studies. The ...
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04/08/2022
Long-term effect estimation when combining clinical trial and observational follow-up datasets
Combining experimental and observational follow-up datasets has received...
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11/03/2021
Multistage Estimators for Missing Covariates and Incomplete Outcomes
We study problems with multiple missing covariates and partially observe...
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10/12/2021
Data Harmonization Via Regularized Nonparametric Mixing Distribution Estimation
Data harmonization is the process by which an equivalence is developed b...
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04/21/2021
Skeleton Clustering: Dimension-Free Density-based Clustering
We introduce a density-based clustering method called skeleton clusterin...
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10/23/2020
Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data
Directional data consist of observations distributed on a (hyper)sphere,...
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04/01/2020
Pattern graphs: a graphical approach to nonmonotone missing data
We introduce the concept of pattern graphs–directed acyclic graphs repre...
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02/13/2020
Solution manifold and Its Statistical Applications
A solution manifold is the collection of points in a d-dimensional space...
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01/27/2020
Polygames: Improved Zero Learning
Since DeepMind's AlphaZero, Zero learning quickly became the state-of-th...
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11/05/2019
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era
The field of astronomy has arrived at a turning point in terms of size a...
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08/24/2019
A statistical framework for measuring the temporal stability of human mobility patterns
Despite the growing popularity of human mobility studies that collect GP...
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04/24/2019
Nonparametric Pattern-Mixture Models for Inference with Missing Data
Pattern-mixture models provide a transparent approach for handling missi...
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07/12/2018
Statistical Inference with Local Optima
We study the statistical properties of an estimator derived by applying ...
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05/01/2018
Detecting Galaxy-Filament Alignments in the Sloan Digital Sky Survey III
Previous studies have shown the filamentary structures in the cosmic web...
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04/04/2018
Functional Summaries of Persistence Diagrams
One of the primary areas of interest in applied algebraic topology is pe...
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11/29/2017
On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example
Variational inference is a general approach for approximating complex de...
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10/11/2017
A Note on Community Trees in Networks
We introduce the concept of community trees that summarizes topological ...
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10/02/2017
Oracle Importance Sampling for Stochastic Simulation Models
We consider the problem of estimating an expected outcome from a stochas...
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10/13/2016
Statistical Inference Using Mean Shift Denoising
In this paper, we study how the mean shift algorithm can be used to deno...
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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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10/08/2015
Statistical Analysis of Persistence Intensity Functions
Persistence diagrams are two-dimensional plots that summarize the topolo...
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06/29/2015
Statistical Inference using the Morse-Smale Complex
The Morse-Smale complex of a function f decomposes the sample space into...
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06/07/2015
Optimal Ridge Detection using Coverage Risk
We introduce the concept of coverage risk as an error measure for densit...
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05/03/2015
Risk Bounds For Mode Clustering
Density mode clustering is a nonparametric clustering method. The cluste...
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12/04/2014