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作者：Lin, Ziqian; Huang, Danyang; Xiong, Ziyu; Wang, Hansheng
作者单位：Peking University; Renmin University of China; Renmin University of China
摘要：In the flourishing live streaming industry, accurate recognition of streamers' emotions has become a critical research focus with profound implications for audience engagement and content optimization. However, precise emotion coding typically requires manual annotation by trained experts, making it extremely expensive and time-consuming to obtain complete observational data for large-scale studies. Motivated by this challenge in streamer emotion recognition, we develop here a novel imputation...
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作者：Liu, Meizi; Lin, Ji; Mi, Gu; Lorenzato, Christelle; Chen, Xun; Ji, Yuan
作者单位：Sanofi-Aventis; Sanofi USA; University of Chicago
摘要：We introduce a Bayesian framework centered on the probability of decision for designing dose-finding trials. The proposed PoD-BIN design evaluates the posterior predictive probabilities of up-and-down decisions. In PoDBIN, multiple grades of toxicity, categorized as mild toxicity (MT) and doselimiting toxicity (DLT), are simultaneously modeled, with the primary outcome being time-to-toxicity for both MT and DLT. This approach allows the enrollment of new patients while previously enrolled pati...
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作者：Mozer, Reagan; Miratrix, Luke
作者单位：Bentley University; Harvard University
摘要：For randomized trials that use text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by trained human raters. This process, the current standard, is both time-consuming and limiting: even the largest human coding efforts are typically constrained to measure only a small set of dimensions across a subsample of available texts. In this work we present an inferential framework that can be used to inc...
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作者：Zhang, Lyuyuan; Qian, Guoqi; Das, Sourav
作者单位：University of Melbourne; James Cook University
摘要：Tropical cyclones (TC) are significant indicators of evolving climate dynamics. Two primary responses of interest are the cyclone frequency and intensity. In this paper we propose a novel integrated modelling framework for simultaneous modelling of TC frequency across several meteorological regions within Australasia. The key methodological insight is to model the second-order properties of multiple integer-valued time series in frequency domain, instead of parametric time domain models. We ta...
