Zobrazeno 1 - 10
of 357
pro vyhledávání: '"Sun, Wenguang"'
Autor:
Mitra, Alakananda, Beegum, Sahila, Fleisher, David, Reddy, Vangimalla R., Sun, Wenguang, Ray, Chittaranjan, Timlin, Dennis, Malakar, Arindam
The cotton industry in the United States is committed to sustainable production practices that minimize water, land, and energy use while improving soil health and cotton output. Climate-smart agricultural technologies are being developed to boost yi
Externí odkaz:
http://arxiv.org/abs/2312.02299
Autor:
Zhao, Zinan, Sun, Wenguang
The effective utilization of structural information in data while ensuring statistical validity poses a significant challenge in false discovery rate (FDR) analyses. Conformal inference provides rigorous theory for grounding complex machine learning
Externí odkaz:
http://arxiv.org/abs/2311.15322
We investigate the problem of compound estimation of normal means while accounting for the presence of side information. Leveraging the empirical Bayes framework, we develop a nonparametric integrative Tweedie (NIT) approach that incorporates structu
Externí odkaz:
http://arxiv.org/abs/2308.05883
The allocation of limited resources to a large number of potential candidates presents a pervasive challenge. In the context of ranking and selecting top candidates from heteroscedastic units, conventional methods often result in over-representations
Externí odkaz:
http://arxiv.org/abs/2306.08979
The uncertainty quantification and error control of classifiers are crucial in many high-consequence decision-making scenarios. We propose a selective classification framework that provides an indecision option for any observations that cannot be cla
Externí odkaz:
http://arxiv.org/abs/2210.04268
This paper develops novel conformal methods to test whether a new observation was sampled from the same distribution as a reference set. Blending inductive and transductive conformal inference in an innovative way, the described methods can re-weight
Externí odkaz:
http://arxiv.org/abs/2208.11111
Linkage analysis has provided valuable insights to the GWAS studies, particularly in revealing that SNPs in linkage disequilibrium (LD) can jointly influence disease phenotypes. However, the potential of LD network data has often been overlooked or u
Externí odkaz:
http://arxiv.org/abs/2203.11461
Autor:
Sun, Wenguang, Fleisher, David, Timlin, Dennis, Ray, Chittaranjan, Wang, Zhuangji, Beegum, Sahila, Reddy, Vangimalla
Publikováno v:
In European Journal of Agronomy September 2024 159
In large-scale multiple hypothesis testing problems, the false discovery exceedance (FDX) provides a desirable alternative to the widely used false discovery rate (FDR) when the false discovery proportion (FDP) is highly variable. We develop an empir
Externí odkaz:
http://arxiv.org/abs/2111.03885
We investigate the fairness issue in classification, where automated decisions are made for individuals from different protected groups. In high-consequence scenarios, decision errors can disproportionately affect certain protected groups, leading to
Externí odkaz:
http://arxiv.org/abs/2110.05720