The flexible gumbel distribution: A new model for inference about the mode
A new unimodal distribution family indexed via the mode and three other parameters is
derived from a mixture of a Gumbel distribution for the maximum and a Gumbel distribution …
derived from a mixture of a Gumbel distribution for the maximum and a Gumbel distribution …
Kernel selection for modal linear regression: Optimal kernel and IRLS algorithm
R Yamasaki, T Tanaka - 2019 18th IEEE International …, 2019 - ieeexplore.ieee.org
Modal linear regression (MLR) is a method for obtaining a conditional mode predictor as a
linear model. We study kernel selection for MLR from two perspectives:" which kernel …
linear model. We study kernel selection for MLR from two perspectives:" which kernel …
Advancements in Parametric Modal Regression
Q Liu - 2023 - search.proquest.com
This dissertation considers statistical inference methods for parametric modal regression
models. In Chapter 1, we motivate the mode as the measure of central tendency instead of …
models. In Chapter 1, we motivate the mode as the measure of central tendency instead of …