Search Results for author: Daren Wang

Found 5 papers, 2 papers with code

Statistical Analysis of Persistence Intensity Functions

no code implementations8 Oct 2015 Yen-Chi Chen, Daren Wang, Alessandro Rinaldo, Larry Wasserman

Persistence diagrams are two-dimensional plots that summarize the topological features of functions and are an important part of topological data analysis.

Clustering Topological Data Analysis

Functional Linear Regression with Mixed Predictors

1 code implementation1 Dec 2020 Daren Wang, Zifeng Zhao, Yi Yu, Rebecca Willett

We derive finite sample theoretical guarantees and show that the excess prediction risk of our estimator is minimax optimal.

Statistics Theory Methodology Statistics Theory

Optimal network online change point localisation

no code implementations14 Jan 2021 Yi Yu, Oscar Hernan Madrid Padilla, Daren Wang, Alessandro Rinaldo

The goal is to detect the change point as quickly as possible, if it exists, subject to a constraint on the number or probability of false alarms.

Change Point Detection

Temporal-spatial model via Trend Filtering

no code implementations30 Aug 2023 Carlos Misael Madrid Padilla, Oscar Hernan Madrid Padilla, Daren Wang

In such a context, we study the Trend Filtering, a nonparametric estimator introduced by \cite{mammen1997locally} and \cite{rudin1992nonlinear}.

Nonparametric Estimation via Variance-Reduced Sketching

1 code implementation22 Jan 2024 Yuehaw Khoo, Yifan Peng, Daren Wang

In this paper, we introduce a new framework called Variance-Reduced Sketching (VRS), specifically designed to estimate density functions and nonparametric regression functions in higher dimensions with a reduced curse of dimensionality.

Density Estimation regression

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