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主讲人 |
Dennis Lin |
简介 |
<p><span style="font-size: small;"><span style="font-family: 'Times New Roman';"><span style="line-height: 14pt;">Computer models have became a routine practice for understanding complicated physical</span><span style="line-height: 14pt;"> </span><span style="line-height: 14pt;">phenomena. Specially-designed experiment is required to run these computer experiments</span><span style="line-height: 14pt;"> </span><span style="line-height: 14pt;">much more efficiently. </span><span lang="EN-US" style="line-height: 14pt;">Space-filling designs, such as Uniform Design or </span><span style="line-height: 14pt;">Latin hypercube (LH</span><span lang="EN-US" style="line-height: 14pt;">C</span><span style="line-height: 14pt;">) designs have recently found wide applications</span><span style="line-height: 14pt;"> </span><span style="line-height: 14pt;">in running computer experiments. </span><span style="line-height: 14pt;"> </span><span style="line-height: 14pt;">However, the original construction of LH</span><span lang="EN-US" style="line-height: 14pt;">C</span><span style="line-height: 14pt;">s by mating</span><span style="line-height: 14pt;"> </span><span style="line-height: 14pt;">factors randomly is</span><span lang="EN-US" style="line-height: 14pt;"> susceptible</span><span lang="EN-US" style="line-height: 14pt;"> </span><span style="line-height: 14pt;">to having potential correlations among </span><span lang="EN-US" style="line-height: 14pt;">input </span><span style="line-height: 14pt;">factors. </span><span style="line-height: 14pt;"> </span><span style="line-height: 14pt;">It is thus</span><span style="line-height: 14pt;"> </span><span style="line-height: 14pt;">desirable to have an orthogonal Latin hypercube design.</span><span lang="EN-US" style="line-height: 14pt;"> A series of orthogonal LHC have been constructed to be suitably applied to various types of computer models. This includes <i>regular (first-order and second-order) orthogonal LHC</i>, </span><i style="line-height: 14pt;">n</i><i style="line-height: 14pt;">ested orthogonal </i><i style="line-height: 14pt;"><span lang="EN-US">LHC</span></i><i style="line-height: 14pt;">, sliced orthogonal LH</i><i style="line-height: 14pt;"><span lang="EN-US">C, uniform sliced LHC, </span></i><span lang="EN-US" style="line-height: 14pt;">as well as<i> orthogonal LHC for computer models with both qualitative and quantitative variables. </i>Recent developments on these newly constructed designs will be reviewed and discussed, from both theoretical and application perspectives.</span></span></span></p>
<p class="1" style="line-height:14.0pt;mso-line-height-rule:exactly;tab-stops:21.0pt 42.0pt 63.0pt 84.0pt 105.0pt 126.0pt 147.0pt 168.0pt 189.0pt 210.0pt 231.0pt 252.0pt 273.0pt 294.0pt 315.0pt 336.0pt 357.0pt 378.0pt 399.0pt 420.0pt 441.0pt 462.0pt"><span style="font-size: small;"><span style="font-family: 'Times New Roman';"><span lang="EN-US">This talk is based upon some initial results of my long time collaboration efforts with a computer experiment research team at Nankai University (Tianjing, China), led by Professors Minqian Liu and Jianfeng Yang. Their efforts must be acknowledged.</span></span></span><span lang="EN-US" style="font-size:12.0pt;mso-bidi-font-size:10.0pt;font-family:"Times New Roman","serif";mso-fareast-font-family:宋体;mso-font-kerning:0pt"><o:p></o:p></span></p> |
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主讲人简介 |
<p><span style="font-size: small;"><span style="font-family: 'Times New Roman';"><b style="line-height: 14pt;"><span lang="EN-US">Dr. Dennis K. J. Lin </span></b><span lang="EN-US" style="line-height: 14pt;">is a university distinguished professor of supply chain and statistics at Penn State University. His research interests are quality assurance, industrial statistics, data mining, and response surface. He has published near 200 SCI/SSCI papers in a wide variety of journals. He currently serves or has served as associate editor for more than 10 professional journals and was co-editor for Applied Stochastic Models for Business and Industry. Dr. Lin is an elected fellow of ASA, IMS and ASQ, an elected member of ISI, a lifetime member of ICSA, and a fellow of RSS. He is an honorary chair professor for various universities, including Renmin University of China (as a Chang-Jiang Scholar), Fudan University, and National Chengchi University (Taiwan). His recent awards including, the Youden Address (ASQ, 2010), the Shewell Award (ASQ, 2010), the Don Owen Award (ASA, 2011), the Loutit Address (SSC, 2011), the Hunter Award (ASQ, 2014), and the Shewhart Medal (ASQ, 2015). This year, he is awarded SPES Award at the 2016 Joint Statistical Meeting.</span></span></span></p>
<p>CV:<a href="/Upload/File/2016/6/20160615054600565.pdf">Upload/File/2016/6/20160615054600565.pdf</a></p> |
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