منابع مشابه
Regularization in Statistics
This paper is a selective review of the regularization methods scattered in statistics literature. We introduce a general conceptual approach to regularization and fit most existing methods into it. We have tried to focus on the importance of regularization when dealing with today’s high-dimensional objects: data and models. A wide range of examples are discussed, including nonparametric regres...
متن کاملQualitative Assumptions and Regularization in High-Dimensional Statistics
Important and exciting developments are currently underway in nonparametric statistics involving inter-play between qualitative constraints, penalization, and regularization methods. Some of these developments are taking place on the theoretical side (with connections in the direction of empirical process theory), while other parts of the development are occurring on the algorithmic and approxi...
متن کاملETHICAL ISSUES IN MEDICAL STATISTICS
Medical statistics (biostatistics), as a vital essential part of modem life, does raise some fundamental ethical issues. Surprisingly, this aspect seems to have been totally ignored by books on medical ethics. This paper discusses how the statistical aspects affect the ethics. The relation between biostatistics and medical research is explored. All stages of a medical research exercise are ...
متن کاملDepartment of Statistics -statistics Seminar – Fall 2012 Title: Regularization for Large-scale Regression in the Physical Sciences
Many recent applications in the physical sciences generate large-scale datasets and modern regression techniques are routinely applied to these data for a wide range of purposes. Many of these approaches require a careful choice of a tuning parameter. Often though, simple qualitative and sign-constraints can be imposed on grounds of physical considerations. These constraints simplify the estima...
متن کاملRobust Fuzzy Content Based Regularization Technique in Super Resolution Imaging
Super-resolution (SR) aims to overcome the ill-posed conditions of image acquisition. SR facilitates scene recognition from low-resolution image(s). Generally assumes that high and low resolution images share similar intrinsic geometries. Various approaches have tried to aggregate the informative details of multiple low-resolution images into a high-resolution one. In this paper, we present a n...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Test
سال: 2006
ISSN: 1133-0686,1863-8260
DOI: 10.1007/bf02607055