Amanote Research

Amanote Research

    RegisterSign In

Expectile and Quantile Regression—David and Goliath?

Statistical Modelling - United Kingdom
doi 10.1177/1471082x14561155
Full Text
Open PDF
Abstract

Available in full text

Categories
UncertaintyStatisticsProbability
Date

December 26, 2014

Authors
Linda Schulze WaltrupFabian SobotkaThomas KneibGöran Kauermann
Publisher

SAGE Publications


Related search

David and Goliath.

Radiology
Nuclear MedicineRadiologyImaging
1990English

A Modern Day David Meets Goliath

Cranio - Journal of Craniomandibular Practice
OtorhinolaryngologyDentistry
2007English

Learning Rates for Kernel-Based Expectile Regression

Machine Learning
Artificial IntelligenceSoftware
2018English

Bayesian Quantile Regression

SSRN Electronic Journal
2005English

Agrobacterium Tumefaciens and the Plant: The David and Goliath of Modern Genetics

Plant Physiology
Plant ScienceGeneticsPhysiology
2003English

David Versus Goliath in the Food Policy Space

Journal of Agriculture, Food Systems, and Community Development
2016English

Assessing Quantile Prediction With Censored Quantile Regression Models

Biometrics
StatisticsGeneticsProbabilityMolecular BiologyBiochemistryApplied MathematicsMicrobiology ImmunologyBiological SciencesMedicineAgricultural
2016English

Wild Bootstrap for Quantile Regression

Biometrika
StatisticsProbabilityUncertaintyApplied MathematicsBiological SciencesAgriculturalMathematics
2011English

Semi-Functional Partial Linear Quantile Regression

Statistics and Probability Letters
UncertaintyStatisticsProbability
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy