Results 41 to 50 of about 7,257 (284)

Uniform Bahadur Representation for Nonparametric Censored Quantile Regression: A Redistribution-of-Mass Approach [PDF]

, 2016
Censored quantile regressions have received a great deal of attention in the literature. In a linear setup, recent research has found that an estimator based on the idea of “redistribution-of-mass” in Efron (1967, Proceedings of the Fifth Berkeley ...
Kong, Efang, Xia, Yingcun
core   +1 more source

Power prior elicitation in Bayesian quantile regression [PDF]

, 2011
This article has been made available through the Brunel Open Access Publishing Fund - Copyright @ 2011 Rahim Alhamzawi and Keming Yu.We address a quantile dependent prior for Bayesian quantile regression.
Rahim Alhamzawi, Yu, K, Keming Yu, Alhamzawi, R   +3 more
core   +1 more source

Function-on-function linear quantile regression

Mathematical Modelling and Analysis, 2022
In this study, we propose a function-on-function linear quantile regression model that allows for more than one functional predictor to establish a more flexible and robust approach. The proposed model is first transformed into a finitedimensional space
Ufuk Beyaztas, Han Lin Shang
doaj   +1 more source

Expansion for moments of regression quantiles with applications to nonparametric testing [PDF]

Bernoulli, 2019
We discuss nonparametric tests for parametric specifications of regression quantiles. The test is based on the comparison of parametric and nonparametric fits of these quantiles. The nonparametric fit is a Nadaraya-Watson quantile smoothing estimator. An asymptotic treatment of the test statistic requires the development of new mathematical arguments ...
Mammen, Enno, Van Keilegom, Ingrid, Yu, Kyusang   +2 more
openaire   +6 more sources

Bank loans recovery rate in commercial banks:A case study of non-financial corporations [PDF]

Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2019
The empirical literature on credit risk is mainly based on modelling the probability of default, omitting the modelling of the loss given default. This paper is aimed to predict recovery rates on the rarely applied nonparametric method of Bayesian Model ...
Natalia Nehrebecka
doaj   +1 more source

An Analysis of Mathematics and Science Achievements of American Youth with Nonparametric Quantile Regression

Journal of Data Science, 2021
Considering the importance of science and mathematics achieve- ments of young students, one of the most well known observed phenomenon is that the performance of U.S. students in mathematics and sciences is undesirable.
M. Tian, Xizhi Wu, Yuan Li, Pengpeng Zhou   +3 more
semanticscholar   +1 more source

Convex Optimization in R

Journal of Statistical Software, 2014
Convex optimization now plays an essential role in many facets of statistics. We briefly survey some recent developments and describe some implementations of these methods in R .
Roger Koenker, Ivan Mizera
doaj   +1 more source

Spirometric traits show quantile-dependent heritability, which may contribute to their gene-environment interactions with smoking and pollution [PDF]

PeerJ, 2020
Background “Quantile-dependent expressivity” refers to a genetic effect that is dependent upon whether the phenotype (e.g., spirometric data) is high or low relative to its population distribution. Forced vital capacity (FVC), forced expiratory volume in
Paul T. Williams
doaj   +2 more sources

Powerful nonparametric checks for quantile regression [PDF]

Journal of Statistical Planning and Inference, 2017
32 pages, 2 ...
Maistre, Samuel, Lavergne, Pascal, Patilea, Valentin   +2 more
openaire   +6 more sources

Outlier Detection using Projection Quantile Regression for Mass Spectrometry Data with Low Replication

BMC Research Notes, 2012
Background Mass spectrometry (MS) data are often generated from various biological or chemical experiments and there may exist outlying observations, which are extreme due to technical reasons.
Eo Soo-Heang, Pak Daewoo, Choi Jeea, Cho HyungJun   +3 more
doaj   +1 more source