JOURNAL ARTICLE

Statistical methods with varying coefficient models

Jianqing FanWenyang Zhang

Year: 2008 Journal:   Statistics and Its Interface Vol: 1 (1)Pages: 179-195   Publisher: Lehigh University

Abstract

The varying coefficient models are very important tool to explore the dynamic pattern in many scientific areas, such as economics, finance, politics, epidemiology, medical science, ecology and so on. They are natural extensions of classical parametric models with good interpretability and are becoming more and more popular in data analysis. Thanks to their flexibility and interpretability, in the past ten years, the varying coefficient models have experienced deep and exciting developments on methodological, theoretical and applied sides. This paper gives a selective overview on the major methodological and theoretical developments on the varying coefficient models.

Keywords:
Interpretability Flexibility (engineering) Econometrics Parametric statistics Computer science Statistics Management science Mathematics Artificial intelligence Economics

Metrics

415
Cited By
7.03
FWCI (Field Weighted Citation Impact)
113
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Statistical Methods and Models
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical Methods and Inference
Physical Sciences →  Mathematics →  Statistics and Probability

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