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

这项研究将召集一小部分参与者参加一个名为“平滑的进展：颠簸、跳跃、聚类和区分”的研讨会。研讨会将包括几个领域的权威人士，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聚类工作者改进其算法的统计基础。识别变化点或跳跃的技术可能有助于确定有利于集群数量的证据的权重。最后，非参数回归技术的最新进展极大地改变了与聚类密切相关的统计判别算法的面貌。研讨会将有3或4名领导，并有许多研究可能的接口和技术或理论转移的突破。此外，年轻的研究人员，包括教师和研究生，将被邀请参加。研讨会将容纳多达25-50名与会者。这项研究将支持参加一个名为“平滑的进展：颠簸、跳跃、聚类和区分”的研讨会。参与者将包括这些领域的主要权威人士，以及其他研究人员和学生。讲习班将提供一个论坛，分享可能影响这些其他领域的最新发现。这些统计技术被广泛应用于科学：例如，顶夸克的发现，语音识别的信号处理，制造业产品质量的检测，仅举几例。研讨会将会有3到4名领导。此外，年轻的研究人员，包括教师和研究生，将被邀请参加。研讨会将容纳25-50名与会者。

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.