Statistics and Neural Networks: Differences, Similarities, and Why Should transportation researchers be Interested?
Event details
| Date | 16.05.2013 |
| Hour | 12:15 › 13:15 |
| Speaker | Prof. Matthew G. Karlaftis |
| Location |
GC C330
|
| Category | Conferences - Seminars |
In the field of transportation, data analysis is probably the most important and widely used research tool available. In the data analysis universe, there are two 'schools of thought'; the first uses statistics as the tool of choice, while the second - one of the many methods from - Computational Intelligence. Although the goal of both approaches is the same, the two have kept each other at arm's length. Researchers frequently fail to communicate and even understand each other's work. In this presentation we discuss differences and similarities between these two approaches, attempt to provide a set of insights for selecting the appropriate approach, and present three cases studies from transportation research that compare the two distinct approaches on the same set of data.
Bio: Matthew G. Karlaftis, Ph.D. is an Associate Professor at the National Technical University of Athens. He holds BSc and MSc degrees in Civil Engineering and an MSc in Mathematics from the University of Miami (USA), and a Ph.D. in Civil Engineering from Purdue University. Prof. Karlaftis has long and significant research experience on a variety of research areas related to transportation planning, transit operations, transportation economics and quantitative methods. Prof. Karlaftis has participated in many national and European research projects and is the co-author of an international best selling book on transportation statistics and econometrics, book chapters, peer reviewed journal papers and papers in conference proceedings. He is Editor-in-Chief for Transportation Research part C, European Editor of ASCE’s Journal of Transportation Engineering, Associate Editor of ASCE’s Journal of Infrastructure Systems, and an editorial board member for eight other journals. He has received the Fulbright Scholar Grant (2006-2007), the Walter L. Huber Civil Engineering Innovative Research Prize (2005, by the American Society of Civil Engineers), the ABJ80 Best Paper Award for 2009 by TRB, and the 2011 ASCE State-of-the-art Award.
Bio: Matthew G. Karlaftis, Ph.D. is an Associate Professor at the National Technical University of Athens. He holds BSc and MSc degrees in Civil Engineering and an MSc in Mathematics from the University of Miami (USA), and a Ph.D. in Civil Engineering from Purdue University. Prof. Karlaftis has long and significant research experience on a variety of research areas related to transportation planning, transit operations, transportation economics and quantitative methods. Prof. Karlaftis has participated in many national and European research projects and is the co-author of an international best selling book on transportation statistics and econometrics, book chapters, peer reviewed journal papers and papers in conference proceedings. He is Editor-in-Chief for Transportation Research part C, European Editor of ASCE’s Journal of Transportation Engineering, Associate Editor of ASCE’s Journal of Infrastructure Systems, and an editorial board member for eight other journals. He has received the Fulbright Scholar Grant (2006-2007), the Walter L. Huber Civil Engineering Innovative Research Prize (2005, by the American Society of Civil Engineers), the ABJ80 Best Paper Award for 2009 by TRB, and the 2011 ASCE State-of-the-art Award.
Practical information
- General public
- Free
Organizer
- Prof. Nikolas Geroliminis & Prof. Katrin Beyer
Contact
- Prof. Nikolas Geroliminis