1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.
10 years of news and resources for members of the IEEE Signal Processing Society
In the era of big data, analysts usually explore various statistical models or machine-learning methods for observed data to facilitate scientific discoveries or gain predictive power. Whatever data and fitting procedures are employed, a crucial step is to select the most appropriate model or method from a set of candidates. Model selection is a key ingredient in data analysis for reliable and reproducible statistical inference or prediction, and thus it is central to scientific studies in such fields as ecology, economics, engineering, finance, political science, biology, and epidemiology. There has been a long history of model selection techniques that arise from researches in statistics, information theory, and signal processing. A considerable number of methods has been proposed, following different philosophies and exhibiting varying performances. The purpose of the article Model Selection Techniques: An overview by J Ding, V Tarokh, and Y Yang published in IEEE Signal Processing Magazine in December 2018 is to provide a comprehensive overview of them, in terms of their motivation, large sample performance, and applicability. The authors provide integrated and practically relevant discussions on theoretical properties of state-of-the-art model selection approaches. The authors also share their thoughts on some controversial views on the practice of model selection.
|Call for Nominations for Editor-in-Chief||5 April 2021|
|Call for Nominations: Chief Editor, SigPort and Chief Editor, Resource Center||5 April 2021|
|Call for Nominations: Board of Governors Members-at-Large and Regional Directors-at-Large||7 April 2021|
|Extended Deadline - 23 April: Call for Nominations for Editors-in-Chief||23 April 2021|
|Call for Nominations: Distinguished Industry Speakers and Distinguished Lecturers||31 May 2021|
|Call for Nominations: Director-Student Services, Director-Membership Development, and Seasonal Schools Subcommittee Chair||4 June 2021|
© Copyright 2021 IEEE – All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.