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    日期题名作者
    2014-02 Bayesian confidence intervals for probability of default and asset correlation of portfolio credit risk Chang, Y.-P.; Yu, Chih-Tun; 游智惇
    1998 Bayesian control to linear regression models with covariate error 陳麗霞
    2022-11 Bayesian estimation for an item response tree model for nonresponse modeling 張育瑋; Chang, Yu-Wei; Tu, Jyun-Ye
    2011-06 Bayesian Inference for credit Risk with Serially Dependent Factor Model 張揖平; 游智惇; 劉惠美; Chang, Yi-Ping; Yu, Chih-Tun; Liu, Huimei
    2024-05 Bayesian inference with spike-and-slab priors for differential item functioning detection in a multiple-group IRT tree model 張育瑋; Chang, Yu-Wei; Yang, Cheng-Xin
    1996-05 Bayesian Sequential Tests for Comparing the Number of Species in Two Populations Yue, Jack C.; Clayton; 余清祥
    1999-03 Bayesian sequential tests for comparing the number of Species in Two Populations : A Simulation Study 余清祥; Clayton M
    2021-12 Bias approximations for likelihood‐based estimators 翁久幸; Weng, Ruby Chiu-Hsing; Coad, D. Stephen
    2014-01 Biomarker selection for medical diagnosis using the partial area under the ROC curve Hsu, M.-J.; Chang, Yuan-Chin Ivan; Hsueh, Huey-Miin; 張源俊; 薛慧敏
    2013-06 Biomarker Selection in Medical Diagnosis Hsu, Man-Jen; Chang, Yuan-Chin Ivan; Hsueh, Huey-Miin; 許嫚荏; 張源俊; 薛慧敏
    1997 Birbaum-Saunders Centrality control 楊素芬
    1997 Birbaum-Saunders Centrality control 楊素芬
    2014-07 Bivariate Generalized Gamma Distributions of Kibble``s Type 陳麗霞; Chen, Li-Shya; Tzeng, I-Hsiang; Lin, Chien-Tai
    2012-12 Bivariate Generalized Gamma Distributions of Kibble`s Type 陳麗霞; Chen, Li-Shya; Tzeng, I- Shiang; Linc, Chien-Tai
    2022-07 [BOOK REVIEW] Handbook of Meta-Analysis 陳立榜; Chen, Li-Pang
    2022-04 [Book Review] Introduction to data science: Data analysis and prediction algorithms with R 陳立榜; Chen, Li-Pang
    2021-04 [Book Review] Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python 陳立榜; Chen, Li-Pang
    2021-09 [Book Review] Statistical Foundations of Data Science 陳立榜; Chen, Li-Pang
    2022-09 Book Review: Supervised machine learning for text analysis in R by Emil Hvitfeldt and Julia Silge 吳漢銘; Wu, Han-Ming
    2022-01 [Book Review] The ESD Control Program Handbook 陳立榜; Chen, Li-Pang
    2023-07 BOOME: A boosting method for variable selection and estimation with measurement error in binary responses and predictors 陳立榜; Chen, Li-Pang
    2022-10 BOOME: A Python package for handling misclassified disease and ultrahigh-dimensional error-prone gene expression data 陳立榜; Chen, Li-Pang
    2005 Boosting Algorithm that maximizes the area under ROC curve 張源俊
    2005 Boosting Algorithm that maximizes the area under ROC curve 張源俊
    2022-06 Boosting method for length-biased and interval-censored survival data subject to high-dimensional error-prone covariates 陳立榜; Chen, Li-Pang; Qiu, Bangxu

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