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Density Estimation and Its Applications

Author

Listed:
  • Chaohua Dong

    (Zhongnan University of Economics and Law)

  • Jiti Gao

    (Monash University)

Abstract

This chapter explores how to estimate density functions by series methods. In the standard nonparametric kernel estimation literature, joint and marginal densities are estimated by kernel methods with closed-form expressions. In this chapter, we recall the history of the development of the density estimation by series methods and show several advances of their applications mainly in finance in recent years.

Suggested Citation

  • Chaohua Dong & Jiti Gao, 2025. "Density Estimation and Its Applications," Advanced Studies in Theoretical and Applied Econometrics,, Springer.
    • Handle: RePEc:spr:adschp:978-981-96-2822-3_4
    DOI: 10.1007/978-981-96-2822-3_4
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