The modal age of Statistics

07/08/2018
by   José E. Chacón, et al.
0

Recently, a number of statistical problems have found an unexpected solution by inspecting them through a "modal point of view". These include classical tasks such as clustering or regression. This has led to a renewed interest in estimation and inference for the mode. This paper offers an extensive survey of the traditional approaches to mode estimation and explores the consequences of applying this modern modal methodology to other, seemingly unrelated, fields.

READ FULL TEXT

page 12

page 15

page 17

research
04/20/2023

Optimal Kernel for Kernel-Based Modal Statistical Methods

Kernel-based modal statistical methods include mode estimation, regressi...
research
02/20/2017

A Statistical Learning Approach to Modal Regression

This paper studies the nonparametric modal regression problem systematic...
research
10/29/2017

On the Consistency of Quick Shift

Quick Shift is a popular mode-seeking and clustering algorithm. We prese...
research
10/18/2019

Robust modal regression with direct log-density derivative estimation

Modal regression is aimed at estimating the global mode (i.e., global ma...
research
09/26/2019

SIMEX Estimation in Parametric Modal Regression with Measurement Error

For a class of parametric modal regression models with measurement error...
research
11/19/2022

Bayesian Modal Regression based on Mixture Distributions

Compared to mean regression and quantile regression, the literature on m...
research
06/13/2016

Modal-set estimation with an application to clustering

We present a first procedure that can estimate -- with statistical consi...

Please sign up or login with your details

Forgot password? Click here to reset