Search Results - "Lee, Thomas C M"

A refined reweighing technique for nondiscriminatory classification by Liang, Yuefeng, Hsieh, Cho-Jui, Lee, Thomas C M

“…Discrimination-aware classification methods remedy socioeconomic disparities exacerbated by machine learning systems. In this paper, we propose a novel data…”
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Generalized Fiducial Inference: A Review and New Results by Hannig, Jan, Iyer, Hari, Lai, Randy C. S., Lee, Thomas C. M.

“…R. A. Fisher, the father of modern statistics, proposed the idea of fiducial inference during the first half of the 20th century. While his proposal led to…”
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When might we break the rules? A statistical analysis of aesthetics in photographs by Wang, Justin, Lee, Marie A, Lee, Thomas C. M

“…High-quality photographs often follow certain high-level rules well known to photographers, but some photographs intentionally break these rules. Doing so is…”
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Structural Break Estimation for Nonstationary Time Series Models by Davis, Richard A, Lee, Thomas C. M, Rodriguez-Yam, Gabriel A

“…This article considers the problem of modeling a class of nonstationary time series using piecewise autoregressive (AR) processes. The number and locations of…”
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Generalized Fiducial Inference for Ultrahigh-Dimensional Regression by Lai, Randy C. S., Hannig, Jan, Lee, Thomas C. M.

“…In recent years, the ultrahigh-dimensional linear regression problem has attracted enormous attention from the research community. Under the sparsity…”
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Estimation of Multiple-Regime Threshold Autoregressive Models With Structural Breaks by Yau, Chun Yip, Tang, Chong Man, Lee, Thomas C. M.

“…The threshold autoregressive (TAR) model is a class of nonlinear time series models that have been widely used in many areas. Due to its nonlinear nature, one…”
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Penalized spline models for functional principal component analysis by Yao, Fang, Lee, Thomas C. M.

“…We propose an iterative estimation procedure for performing functional principal component analysis. The procedure aims at functional or longitudinal data…”
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A full bayesian approach for boolean genetic network inference by Han, Shengtong, Wong, Raymond K W, Lee, Thomas C M, Shen, Linghao, Li, Shuo-Yen R, Fan, Xiaodan

“…Boolean networks are a simple but efficient model for describing gene regulatory systems. A number of algorithms have been proposed to infer Boolean networks…”
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A frequentist approach to computer model calibration by Wong, Raymond K. W., Storlie, Curtis B., Lee, Thomas C. M.

“…The paper considers the computer model calibration problem and provides a general frequentist solution. Under the framework proposed, the data model is…”
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Identifying Diffuse Spatial Structures in High-energy Photon Lists by Fan, Minjie, Wang, Jue, Kashyap, Vinay L., Lee, Thomas C. M., van Dyk, David A., Zezas, Andreas

“…Abstract Data from high-energy observations are usually obtained as lists of photon events. A common analysis task for such data is to identify whether diffuse…”
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Segmented Model Selection in Quantile Regression Using the Minimum Description Length Principle by Aue, Alexander, Cheung, Rex C. Y., Lee, Thomas C. M., Zhong, Ming

“…This article proposes new model-fitting techniques for quantiles of an observed data sequence, including methods for data segmentation and variable selection…”
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Generalized Fiducial Inference for Threshold Estimation in Dose–Response and Regression Settings by Hwang, Seungyong, Lai, Randy C. S., Lee, Thomas C. M.

“…In many biomedical experiments, such as toxicology and pharmacological dose–response studies, one primary goal is to identify a threshold value such as the…”
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ON IMAGE SEGMENTATION USING INFORMATION THEORETIC CRITERIA by Aue, Alexander, Lee, Thomas C. M.

“…Image segmentation is a long-studied and important problem in image processing. Different solutions have been proposed, many of which follow the information…”
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Covariance estimation via fiducial inference by W. Jenny Shi, Jan Hannig, Randy C. S. Lai, Thomas C. M. Lee

“…As a classical problem, covariance estimation has drawn much attention from the statistical community for decades. Much work has been done under the…”
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Nonparametric Cepstrum Estimation via Optimal Risk Smoothing by Lai, R.C.S., Lee, T.C.M., Wong, R.K.W., Fang Yao

“…This paper proposes a new cepstrum estimation procedure that is capable of producing smoother and improved cepstrum estimates without the use of any parametric…”
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AN MDL APPROACH TO THE CLIMATE SEGMENTATION PROBLEM by Lu, QiQi, Lund, Robert, Lee, Thomas C. M.

“…This paper proposes an information theory approach to estimate the number of changepoints and their locations in a climatic time series. A model is introduced…”
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Uncertainty Quantification for Sparse Estimation of Spectral Lines by Han, Yi, Lee, Thomas C. M.

“…Line spectral estimation is an important problem that finds many useful applications in signal processing. Many high-performance methods have been proposed for…”
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Generalized fiducial inference for wavelet regression by HANNIG, JAN, LEE, THOMAS C. M.

“…We apply Fisher’s fiducial idea to wavelet regression, first developing a general methodology for handling model selection problems within the fiducial…”
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Robust Estimation for Generalized Additive Models by Wong, Raymond K. W., Yao, Fang, Lee, Thomas C. M.

“…This article studies M-type estimators for fitting robust generalized additive models in the presence of anomalous data. A new theoretical construct is…”
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A Review of Adversarial Attack and Defense for Classification Methods by Li, Yao, Cheng, Minhao, Hsieh, Cho-Jui, Lee, Thomas C. M.

“…Despite the efficiency and scalability of machine learning systems, recent studies have demonstrated that many classification methods, especially Deep Neural…”
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