NDLI: An Automatic Model Selection Technique Based on Parallel Trans-Dimensional Simulated Annealing

Content Provider	IEEE Xplore Digital Library
Author	Xiaoyan Zhao Wenbao Liu Jinggui Gao Yingchang Xiu
Copyright Year	2015
Description	Author affiliation: Coll. of Geomatics, Shandong Univ. of Sci. & Technol., Qingdao, China (Wenbao Liu; Yingchang Xiu) \|\| Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China (Xiaoyan Zhao) \|\| Coll. of Math. & Syst. Sci., Shandong Univ. of Sci. & Technol., Qingdao, China (Jinggui Gao)
Abstract	In econometrics, one of the difficulties is to identify the optimum model for a given application. Some traditional methods such as statistical tests and information criteria are usually used to choose the models, but when the number of competing models is large, these methods will quickly become infeasible. The simulated annealing (SA) may be a alternative technique to solve this big data problem, but SA's implementation is frequently less efficient due to inherent intensive computing features. In this paper, therefore, we simultaneously consider three kinds of techniques, which are simulated annealing, reversible jump Markov Chain Monte Carlo and parallel strategy, propose the parallel trans-dimensional simulated annealing algorithm (PTDSA). Next, we empirically employ the PTDSA algorithm to the Shandong regional economic dataset in China, and obtain the optimum model automatically and efficiently.
Starting Page	238
Ending Page	241
File Size	201654
Page Count	4
File Format	PDF
ISBN	9781479986453
e-ISBN	9781479986460
DOI	10.1109/IHMSC.2015.125
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Economics Algorithm design and analysis County economy Computational modeling The parallel simulated annealing algorithm Optimized production technology Automatic model selection Simulated annealing Elasticity Markov processes Parallel strategy Reversible jump Markov chain Monte Carlo
Content Type	Text
Resource Type	Article

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