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A kernel density estimation method for networks, its computational method and a GIS-based tool

✍ Scribed by Okabe, Atsuyuki; Satoh, Toshiaki; Sugihara, Kokichi

Book ID
118035430
Publisher
Taylor and Francis Group
Year
2009
Tongue
English
Weight
705 KB
Volume
23
Category
Article
ISSN
1365-8824

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A conditional density function, which describes the relationship between response and explanatory variables, plays an important role in many analysis problems. In this paper, we propose a new kernelbased parametric method to estimate conditional density. An exponential function is employed to approx