Local Multiplicative Bias Correction for Asymmetric Kernel Density Estimators

By Matthias Hagmann, Olivier Scaillet. 2007

76 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b94de9a5a9882d0306ab96869529e19ed3b1d7c3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Masayuki Hirukawa
2. Mari Sakudo

In Management Science and Operations Research

1. Masayuki Hirukawa
2. Mari Sakudo

In Statistics and Probability

1. Masayuki Hirukawa
2. Mari Sakudo

Citations in the corpus

• Family of the generalised gamma kernels: a generator of asymmetric kernels for nonnegative data (2015, methodology): “While Hagmann and Scaillet (2007) and Gustafsson, Hagmann, Nielsen, and Scaillet (2009) propose semiparametric MBC procedures using asymmetric kernels, we concentrate on two classes of nonparametric MBC methods studied in Hirukawa (2010) and Hirukawa and Sakudo (2014).”
• Capturing the Zero: A New Class of Zero-Augmented Distributions and Multiplicative Error Processes (2010, unknown): “, income distributions (Hagmann and Scaillet, 2007), which we do not consider here.”