Mathematical Sciences: Workshop on Advances in Smoothing: Bumps, Jumps, Clustering and Discrimination; May 11-15, 1997; Houston, Texas

数学科学：平滑进展研讨会：碰撞、跳跃、聚类和判别；

• 批准号: 9615912
• 负责人: David Scott
• 金额: --
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-03-01 至 1998-05-01
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9615912&HistoricalAwards=false
• 关键词: Mathematical; Sciences; Workshop; Advances; Smoothing

DMS 9615912 Scott This research will bring together a small number of participants in a workshop entitled "Advances in Smoothing: Bumps, Jumps, Clustering, and Discrimination." The workshop will include leading authorities in several areas, together with other researchers and students,to share recent findings that potentially impact other fields. Recent advances in nonparametric smoothing could aid workers in clustering improve the statistical foundations of their algorithms. Technology for identifying change points or jumps may help determine the weight of evidence in favor of numbers of clusters. Finally, recent advances in nonparametric regression technology have dramatically changed the face of algorithms for statistical discrimination, which is closely related to clustering. The workshop will have 3 or 4 leaders, with numerous breakouts for investigating possible interfaces and technology or theoretical transfers. In addition, young researchers, including faculty and graduate students, will be invited to participate. The workshop will accommodate as many as 25-50 participants. This research will support participation in a workshop entitled "Advances in Smoothing: Bumps, Jumps, Clustering, and Discrimination." Participants will include leading authorities in these areas, together with other researchers and students. The workshop will provide a forum for the sharing of recent findings that potentially impact these other fields. These statistical techniques are widely used in science: for example, the discovery of the top quark, signal processing for speech recognition, detection of production quality in manufacturing, to name just a few. The workshop will have 3 or 4 leaders. In addition, young researchers, including faculty and graduate students, will be invited to participate. The workshop will accommodate 25-50 participants.

DMS 9615912 Scott这项研究将在题为“平滑进展：颠簸，跳跃，聚类，聚类和歧视”的讲习班中汇集少数参与者。 该研讨会将包括多个领域的领先当局以及其他研究人员和学生，分享可能影响其他领域的最新发现。 非参数平滑的最新进展可以帮助工人聚类改善其算法的统计基础。 识别变更点或跳跃的技术可能有助于确定有利于群集数量的证据的重量。 最后，非参数回归技术的最新进展极大地改变了统计歧视算法的面貌，这与聚类密切相关。 该研讨会将有3或4位领导者，并进行了许多突破，以调查可能的界面，技术或理论转移。 此外，包括教职员工在内的年轻研究人员将被邀请参加。 研讨会将容纳多达25-50名参与者。 这项研究将支持参加题为“平滑进展：跳跃，跳跃，聚类和歧视”的研讨会。 参与者将与其他研究人员和学生一起在这些领域包括领先的当局。 该研讨会将提供一个论坛，以分享最近可能影响这些其他领域的发现。 这些统计技术被广泛用于科学：例如，发现顶级夸克，信号处理以进行语音识别，制造中的生产质量的检测，仅举几例。 研讨会将有3或4位领导人。 此外，包括教职员工在内的年轻研究人员将被邀请参加。 研讨会将容纳25-50名参与者。