2024

最新文章

• Jiayi Li, Yuantong Li and Xiaowu Dai's contribution to the Discussion of 'Estimating means of bounded random variables by betting' by Waudby-Smith and Ramdas AI翻译
  作者：Li, Jiayi; Li, Yuantong; Dai, Xiaowu
  作者单位：University of California System; University of California Los Angeles; University of California System; University of California Los Angeles; University of California System; University of California Los Angeles
• Ruodo Wang's contribution to the Discussion of 'Estimating means of bounded random variables by betting' by Waudby-Smith and Ramdas AI翻译
  作者：Wang, Ruodu
  作者单位：University of Waterloo
• Pierre-Aurelien Gilliot, Christophe Andrieu, Anthony Lee, Song Liu, and Michael Whitehouse's contribution to the Discussion of 'the Discussion Meeting on Probabilistic and statistical aspects of machine learning' AI翻译
  作者：Gilliot, Pierre-Aurelien; Andrieu, Christophe; Lee, Anthony; Liu, Song; Whitehouse, Michael
  作者单位：University of Bristol
• Yongmiao Hong, Oliver Linton, Jiajing Sun, and Meiting Zhu's contribution to the Discussion of 'the Discussion Meeting on Probabilistic and statistical aspects of machine learning' AI翻译
  作者：Hong, Yongmiao; Linton, Oliver; Sun, Jiajing; Zhu, Meiting
  作者单位：Chinese Academy of Sciences; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; University of Cambridge; University of Birmingham; Xiamen University
• Richard Guo's contribution to the Discussion of 'Parameterizing and simulating from causal models' by Evans and Didelez AI翻译
  作者：Guo, F. Richard
  作者单位：University of Cambridge
• Estimating means of bounded random variables by betting AI翻译
  作者：Angelopoulos, Anastasios N.
  作者单位：University of California System; University of California Berkeley; University of California System; University of California Berkeley
• Neil Dey, Ryan Martin, and Jonathan P. Williams' contribution to the Discussion of 'Safe Testing' by Grünwald, de Heide, and Koolen AI翻译
  作者：Dey, Neil; Martin, Ryan; Williams, Jonathan P.
  作者单位：North Carolina State University
• Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation AI翻译
  作者：Tan, Zhiqiang
  作者单位：Rutgers University System; Rutgers University New Brunswick
  摘要：Consider sensitivity analysis for estimating average treatment effects under unmeasured confounding, assumed to satisfy a marginal sensitivity model. At the population level, we provide new representations for the sharp population bounds and doubly robust estimating functions. We also derive new, relaxed population bounds, depending on weighted linear outcome quantile regression. At the sample level, we develop new methods and theory for obtaining not only doubly robust point estimators for th...
• David Rossell's contribution to the Discussion of 'Martingale Posterior Distributions' by Fong, Holmes and Walker AI翻译
  作者：Rossell, David
  作者单位：Pompeu Fabra University; Pompeu Fabra University
• Optimal individualized treatment rule for combination treatments under budget constraints AI翻译
  作者：Xu, Qi; Fu, Haoda; Qu, Annie
  作者单位：University of California System; University of California Irvine; Eli Lilly
  摘要：The individualized treatment rule (ITR), which recommends an optimal treatment based on individual characteristics, has drawn considerable interest from many areas such as precision medicine, personalized education, and personalized marketing. Existing ITR estimation methods mainly adopt 1 of 2 or more treatments. However, a combination of multiple treatments could be more powerful in various areas. In this paper, we propose a novel double encoder model (DEM) to estimate the ITR for combinatio...