Yen-Chi Chen | DeepAI

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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...

0 Zhen Miao, et al. ∙

∙ 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...

0 Zeyu Wei, et al. ∙

∙ 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 ...

0 Gang Cheng, et al. ∙

∙ 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...

0 Gang Cheng, et al. ∙

∙ 11/03/2021

Multistage Estimators for Missing Covariates and Incomplete Outcomes

We study problems with multiple missing covariates and partially observe...

0 Daniel Suen, et al. ∙

∙ 10/12/2021

Data Harmonization Via Regularized Nonparametric Mixing Distribution Estimation

Data harmonization is the process by which an equivalence is developed b...

0 Steven Wilkins-Reeves, et al. ∙

∙ 04/21/2021

Skeleton Clustering: Dimension-Free Density-based Clustering

We introduce a density-based clustering method called skeleton clusterin...

0 Zeyu Wei, et al. ∙

∙ 10/23/2020

Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data

Directional data consist of observations distributed on a (hyper)sphere,...

10 Yikun Zhang, et al. ∙

∙ 04/01/2020

Pattern graphs: a graphical approach to nonmonotone missing data

We introduce the concept of pattern graphs–directed acyclic graphs repre...

0 Yen-Chi Chen, et al. ∙

∙ 02/13/2020

Solution manifold and Its Statistical Applications

A solution manifold is the collection of points in a d-dimensional space...

0 Yen-Chi Chen, et al. ∙

∙ 01/27/2020

Polygames: Improved Zero Learning

Since DeepMind's AlphaZero, Zero learning quickly became the state-of-th...

12 Tristan Cazenave, et al. ∙

∙ 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...

0 Brian Nord, et al. ∙

∙ 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...

0 Zhihang Dong, et al. ∙

∙ 04/24/2019

Nonparametric Pattern-Mixture Models for Inference with Missing Data

Pattern-mixture models provide a transparent approach for handling missi...

0 Yen-Chi Chen, et al. ∙

∙ 07/12/2018

Statistical Inference with Local Optima

We study the statistical properties of an estimator derived by applying ...

0 Yen-Chi Chen, et al. ∙

∙ 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...

0 Yen-Chi Chen, et al. ∙

∙ 04/04/2018

Functional Summaries of Persistence Diagrams

One of the primary areas of interest in applied algebraic topology is pe...

0 Eric Berry, et al. ∙

∙ 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...

0 Yen-Chi Chen, et al. ∙

∙ 10/11/2017

A Note on Community Trees in Networks

We introduce the concept of community trees that summarizes topological ...

0 Ruqian Chen, et al. ∙

∙ 10/02/2017

Oracle Importance Sampling for Stochastic Simulation Models

We consider the problem of estimating an expected outcome from a stochas...

0 Yen-Chi Chen, et al. ∙

∙ 10/13/2016

Statistical Inference Using Mean Shift Denoising

In this paper, we study how the mean shift algorithm can be used to deno...

0 Yunhua Xiang, et al. ∙

∙ 05/20/2016

Statistical Inference for Cluster Trees

A cluster tree provides a highly-interpretable summary of a density func...

0 Jisu Kim, et al. ∙

∙ 10/08/2015

Statistical Analysis of Persistence Intensity Functions

Persistence diagrams are two-dimensional plots that summarize the topolo...

0 Yen-Chi Chen, et al. ∙

∙ 06/29/2015

Statistical Inference using the Morse-Smale Complex

The Morse-Smale complex of a function f decomposes the sample space into...

0 Yen-Chi Chen, et al. ∙

∙ 06/07/2015

Optimal Ridge Detection using Coverage Risk

We introduce the concept of coverage risk as an error measure for densit...

0 Yen-Chi Chen, et al. ∙

∙ 05/03/2015

Risk Bounds For Mode Clustering

Density mode clustering is a nonparametric clustering method. The cluste...

0 Martin Azizyan, et al. ∙

∙ 12/04/2014

Nonparametric modal regression

Modal regression estimates the local modes of the distribution of Y give...

0 Yen-Chi Chen, et al. ∙

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