Results 81 to 90 of about 30,567 (245)
A sparse implementation of the Frisch-Newton algorithm for 1uantile regression: Working paper series--03-03 [PDF]
, 2003 Recent experience has shown that interior-point methods using a log barrier approach are far superior to classical simplex methods for computing solutions to large parametric quantile regression problems.
Koenker, Roger, Ng, Pin
core
Nonparametric Quantile Regression and Uniform Inference with Unknown Error Distribution
Journal of Business & Economic StatisticsThis paper studies the non-parametric estimation and uniform inference for the conditional quantile regression function (CQRF) with covariates exposed to measurement errors. We consider the case that the distribution of the measurement error is unknown and allowed to be either ordinary or super smooth.
Haoze Hou, Wei Huang, Zheng Zhang
openaire +2 more sources
Health Services Research, EarlyView.ABSTRACT Objective To determine the effectiveness and cost‐effectiveness of multi‐gene panel sequencing compared to single‐gene KRAS testing for metastatic colorectal cancer (mCRC). Study Setting and Design British Columbia, Canada (BC) is a provincial single‐payer public healthcare system, and it was the first province to publicly reimburse multi‐gene
Emanuel Krebs +4 more
wiley +1 more source
A note on the use of quantile regression in beta convergence analysis [PDF]
We discuss how to interpret conflicting results obtained by the use of quantile regression methods in growth regression tests of β-convergence hypothesis and the results obtained by nonparametric methods.
Marcio Laurini
core
Efficient semiparametric estimation of a partially linear quantile regression model [PDF]
, 2003 This paper is concerned with estimating a conditional quantile function that is assumed to be partially linear. The paper develops a simple estimator of the parametric component of the conditional quantile.
Lee, S
core +1 more source
Natural Resources Forum, EarlyView.ABSTRACT The number of studies in literature examining the relationship between economic complexity and environment continues to increase. In those studies, either environmental degradation is represented by a limited indicator, or a traditional empirical method is preferred.
Tunahan Haciimamoglu
wiley +1 more source
SOME PROPERTIES OF SPATIAL QUANTILES
Acta Universitatis Lodziensis. Folia Oeconomica, 2014 Conditional quantiles are required in various economic, biomedical or industrial problems. Lack of objective basis for ordering multivariate observations is a major problem in extending the notion of quantiles or conditional quantiles (also called ...
Grażyna Trzpiot
doaj
Variable data driven bandwidth choice in nonparametric quantile regression [PDF]
The choice of a smoothing parameter or bandwidth is crucial when applying non- parametric regression estimators. In nonparametric mean regression various meth- ods for bandwidth selection exists.
Klaus Abberger
core
Inequality constrained quantile regression: Working paper series--03-08 [PDF]
, 2003 An algorithm for computing parametric linear quantile regression estimates subject to linear inequality constraints is described. The algorithm is a variant of the interior point algorithm described in Koenker and Portnoy (1997) for unconstrained ...
Koenker, Roger, Ng, Pin
core
Journal of Agricultural Economics, EarlyView.ABSTRACT Most research questions in agricultural and applied economics are causal in nature: they study how changes in one or more variables (such as policies, prices or weather) affect one or more other variables (e.g., income, crop yields or pollution).
Arne Henningsen +6 more
wiley +1 more source