許湘伶 學術活動

研討會論文 演講、講習 海報論文 訪問與交流 計畫參與

  

研討會論文

  1. “Optimum designs for parameter estimation in a multi-response mixture experiment.” 109年統計學術研討會, Taipei, Taiwan, December 18, 2020.
  2. “On model selection from a finite family of possibly misspecified time series models.” 2019 Workshop on High Dimensional Statistical Analysis, Taipei, Taiwan, December 14, 2019.
  3. “Optimum designs for parameter estimation in a multi-response mixture experiment.” 108年中國統計學社社員大會暨統計學術研討會, Hsinchu, Taiwan, December 14, 2019.
  4. “On model selection from a finite family of possibly misspecified time series models.” NSYSU-Waseda International Symposium:Time Series, Machine Learning and Causality Analysis, Kaohsiung, Taiwan, September 2-3, 2019.
  5. “Prediction intervals for time series and their applications to portfolio selection.” 3rd International Conference on Econometrics and Statistics (EcoSta 2019), Taichung, Taiwan, June 15-27, 2019.
  6. “D-optimal designs for Scheffé’s first- or second-degree polynomial models in multi-response mixture experiments.” The 28th South Taiwan Statistics Conference, Taichung, Taiwan, June 21-22, 2019.
  7. “AMI負載與預測模型選擇.” 108年大數據分析在電力系統應用論壇, Kaohsiung, Taiwan, February 15, 2019.
  8. “Simultaneous selection of models and designs for optimal forecasting in possibly misspecified models.” 107年中國統計學社社員大會暨國際統計學術研討會, Taoyuan, Taiwan, November 9-10, 2018.
  9. “Greedy Active Learning Algorithm for Logistic Regression Models.” 第十一屆海岸兩岸機率與統計學術研討會, Taipei, Taiwan, May 31-June 2, 2018.
  10. “Model-robustly D- and A-optimal designs for log-contrast models in mixture experiments.” The 1st International Conference on Econometrics and Statistics (EcoSta 2017), Hong Kong, June 15-17, 2017.
  11. “A joint selection of designs and models for optimal forecasting in possibly misspecified polynomial regressions.” The 10th ICSA international conference, Shanghai, China, December 19-22, 2016.
  12. “晶圓臨界尺寸量測法之代表性檢定.” 中國統計學社105年年會暨學術研討會暨政治大學統計學系50週年學術研討會, Taipei, Taiwan, December 9-10, 2016.
  13. “Active learning with subject and variable selection for logistic regression models.” 2016 International Statistical Symposium CSA-KSS-JSS, Daejoen, Korea, November 4-5, 2016.
  14. “On model selection from a finite family of possibly misspecified models.” 第十屆海峽兩岸機率與統計研討會, Chengdu, China, August 11-13, 2016.
  15. “A misspecification-resistant information criterion.” International Association for Statistical Computing-Joint Meeting of IASC-ABE Satellite Conference for the 60th ISI WSC 2015, Búzios, Brazil, August 2-4, 2015.
  16. “Model-robustly optimal designs for log-contrast models with mixture experiments.” European Meeting of Statisticians, Amsterdam, July 6-10, 2015.
  17. “Model-robustly optimal designs for log-contrast models with mixture experiments.” The 24th South Taiwan Statistics Conference, Changhua, Taiwan, June 27-28, 2015.
  18. “Active learning: subject and variable selection.” Toward Big Data Analysis Workshop, Kaohsiung, Taiwan, June 5-6, 2015.
  19. “Simultaneous selection of designs and models for optimal forecasting in possibly misspecified polynomial regressions.” 2014 Statistics and Machine Learning Workshop, Taipei, Taiwan, September 11-12, 2014.
  20. “Optimal designs for estimating parameters with copula model.” The 3rd Institute of Mathematical Statistics Asia Pacific Rim Meeting, Taipei, Taiwan, June 29-July 3, 2014.
  21. “Simultaneous selection of designs and models for optimal forecasting in possibly misspecified polynomial regressions.” The 2013 Joint Statistical Meetings, Montréal, August 3-8, 2013.
  22. “Simultaneous selection of designs and models for optimal forecasting in possibly misspecified regression models.” The 22nd South Taiwan Statistics Conference, Kaohsiung, Taiwan, June 28-29, 2013.
  23. “D-optimal designs for simplex dispersion model.” The 21st South Taiwan Statistics Conference, Taipei, Taiwan, June 29-30, 2012.
  24. “Optimal designs for statistical inferences in simplex dispersion model.” The 20th South Taiwan Statistics Conference, Chia-Yi, Taiwan, June 24-25, 2011.
  25. “Model-robustly D- and A-optimal designs for mixture experiments.” The Seventh World Congress in Probability and Statistics, Singapore, July 14-19, 2008.
  26. “Robust D-optimal designs for mixture experiments in Scheffé models.” Taiwan Statistics Conference, Taipei, Taiwan, November 22, 2003.
  27. “Robust D-optimal designs for mixture experiments in Scheffé models.” The 12th South Taiwan Statistics Conference, Kaohsiung, Taiwan, June 26-27, 2003.
 
                                                                                                                                                            

演講、講習

題目 學術機構 時間
Greedy Active Learning Algorithm for Logistic Regression Models 國立成功大學機械工程學系 April 20, 2021
Optimum Designs for Parameter Estimation in a Multi-response Mixture Experiment Institute of Statistical Science, Academia Sinica, Taiwan June 15, 2020
Optimum Designs for Parameter Estimation in a Multi-response Mixture Experiment Department of Applied Mathematics, National Sun Yat-sen University, Taiwan May 07, 2020
統計製程管制與模型建立 日月光公司(高雄大學電機系產業人才培訓計畫) September 10, September 17, 2019
數據的初探與設計思考 國立中山大學應用數學系(負載特性分析與預測模型強化之研究) August 27, 2019
Greedy Active Learning Algorithm for Logistic Regression Models Institute of Statistics, National University of Kaohsiung, Taiwan May 30, 2018
Greedy Active Learning Algorithm for Logistic Regression Models Department of Mathematics, National Central University, Taiwan May 25, 2018
品質與品質管制統計分析及製程最佳化 日月光公司(高雄大學電機系產業人才培訓計畫) August 28, 2017
Active Learning with Subject and Variable Selection for Logistic Regression Models Institute of Statistics, National Chiao Tung University, Taiwan October 13, 2017
搭上巨量資料的演化方舟 Institute of Statistics, National University of Kaohsiung, Taiwan March 19, 2016
A misspecification-resistant information criterion. Institute of Statistics, National Chung Hsing University, Taiwan October 15, 2015
Optimal designs of experiments for simplex dispersion model. Department of Mathematics, National Chung Cheng UniversityNovember 20, 2014
A Joint Selection of Designs and Models for Optimal Forecasting in Possibly Misspecified Polynomial Regressions. NCTS Industrial Statistics Research Group Seminar (國家理論科學研究中心學術演講)November 07, 2014
A misspecification-resistant information criterion. Department of Applied Mathematics, Chung Yuan Christian University, Taiwan March 14, 2014
A misspecification-resistant information criterion. Institute of Statistical Science, Academia Sinica, TaiwanFebruary 26, 2014
A misspecification-resistant information criterion. Institute of Statistics, National University of Kaohsiung, TaiwanJanuary 21, 2014
Optimal designs of experiments for simplex dispersion model. Department of Statistics, National Taipei University, Taipei, TaiwanNovember 07, 2012
D-optimal designs of experiments for statistical inferences in simplex dispersion model. Institute of Statistics, National Chung Hsing University, TaiwanFebruary 07, 2012
Optimal designs for estimation of parameters in bivariate copula models. University of Augsburg, Augsburg, GermanyFebruary 14, 2008
 
  

海報論文

  1. “Model-robustly D- and A-optimal designs for log-contrast models in mixture experiments.” 31st European Meeting of Statisticians, Helsinki, Finland. July 24-28, 2017.
  2. “D-optimal designs for statistical inferences in simplex dispersion model.” Designed Experiments: Recent Advances in Methods and Applications (DEMA 2011), Cambridge, United Kingdom. 30 August to 2 September, 2011. (Traveling award supported by Isaac Newton Institute for Mathematical Sciences, United Kingdom)
  3. “Optimal designs for non-linear regression models.” Department of Applied Mathematics, National Sun Yat-sen University, Kaohsiung, Taiwan, December 13, 2007.
 

學術訪問與交流

美國訪問 於2012年9月至 the School of Statistics, University of Minnesota研究訪問Yuhong Yang 教授。
新加坡訪問 於2011年10月獲補助至the Institute for Mathematical Sciences (IMS)訪問,並參與the Workshop on the Design and Analysis of Clinical Trials之活動。
德國訪問 於2008年2月以及2009年8-9月獲國科會台德雙方合作研究計畫人員交流計畫 (Project-based Personnel Exchange Program, PPP) (二年期)的補助,二次與中山大學羅夢娜教授一同前往德國訪問。
期間訪問 Catholic University of Eichstätt-Ingolstadt的Professor Bischoff與Andreas Gegg博士生及University of Augsburg的Professor Pukelsheim 和 Dr. Klein。
新加坡訪問 於2008年7月獲教育部補助國內大學校院博士班研究生出席國際會議之補助,至新加坡參加國際會議。
 
  

各項計畫參與

計畫性質 計畫名稱 主持人職務 參與起訖年月
學術研究 考量初始資料效應之主動學習序列設計方法於分類問題之探究 許湘伶教授 主持人 2021/08-2022/07
具量測誤差之混合實驗的設計與分析 許湘伶教授 主持人 2020/08-2021/07
多反應值混合實驗下之最適設計研究 許湘伶教授 主持人 2019/08-2020/07
在混合適應迴歸模型之最適設計問題探討 許湘伶教授 主持人 2016/08-2017/07
混合實驗在對數對比模型之模型穩健最適設計 許湘伶教授 主持人 2014/10-2016/07
中央研究院深耕計畫(On Statistical Model Selection) 銀慶剛教授 博士後研究 2012/08-2014/07
單體離勢模型下之最適設計研究-比例數據上之應用 羅夢娜教授 博士後研究 2011/03-2012/07
單體離勢模型下之最適設計研究-比例數據上之應用 羅夢娜教授 研究助理 2010/08-2011/01
多反應非線性模型下之最適設計問題 羅夢娜教授 研究助理 2008/08-2010/07
反應曲面模型下之正合D-最適與穩健設計 羅夢娜教授 研究助理 2006/08-2008/07
混和實驗之模型穩健最適設計研究 羅夢娜教授 研究助理 2004/09-2006/07
產學合作 高頻特徵萃取於家電負載預測之技術研析 許湘伶教授 主持人 2021/07-2022/06
智慧電表大數據分析目標用戶用電負載模型 許湘伶教授 主持人 2020/07-2021/08
空調性能測試研究 許湘伶教授 主持人 2020/09-2020/10
負載特性分析與預測模型強化之研究 羅夢娜教授 協同研究人員 2018/07-2020/01
關鍵機台選取、檢視及其在高科技產業品質管理之應用 俞淑惠教授 共同主持人 2015/07-2016/02
異質性高維度模型選取及其在高科技產業品質管理之應用 俞淑惠教授 博士級顧問 2012/04-2013/07
教學研究 教育部-補助大學社會責任實踐計畫:大樹幸福莊園新鄉村經濟行動計畫 王學亮校長 執行團隊 2017/08-2018/03
教育部-智慧生活整合性人才培育特色大學計畫:韌性城市智慧生活產業人才培育計畫 連興隆副校長 課程教師 2017/02-2018/1
教育部-提昇『大學基礎數學教育』網路資訊多媒體建構計畫(3/4) 黃文璋教授 專任助理 2003/07-2004/08
國科會-機率統計之概念暨網路學習研究之子計畫一:機率概念與應用網路學習研究 羅夢娜教授 研究助理 2001/08-2003/07
國科會-高雄區高中數學科資優生培育計畫 羅春光教授 專任助理 2000/08-2001/08
學術交流訪問 邀請科技人士來台短期訪問 許湘伶教授 主持人 2021/04-2021/05