Results 71 to 80 of about 3,431,698 (356)
Summary: This study proposes a new use of goal programming for empirically estimating a regression quantile hyperplane. The approach can yield regression quantile estimates that are less sensitive to not only non- Gaussian error distributions but also a small sample size than conventional regression quantile methods.
openaire +2 more sources
Shadow prices and marginal abatement costs: Convex quantile regression approach
Marginal abatement cost (MAC) is a critically important concept for efficient environmental policy and management. In this paper we argue that most empirical studies using frontier estimation methods such as data envelopment analysis (DEA) over-estimate ...
Timo Kuosmanen, Xun Zhou
semanticscholar +1 more source
This study reports that SBNO1 protein is upregulated in several cancer entities. SBNO1 protein interacts with the basal transcription factor TFIID via TAF4, enabling its recruitment to transcription start sites and the modulation of target gene expression.
Sarah Fritzsche +21 more
wiley +1 more source
Public-private income gap in Brazil: a counterfactual analysis
The study investigated the gap of public-private income through the Decomposition of OaxacaBlinder, quantile regression and Melly’s Quantile Decomposition through the PNAD data of 2013.
Raphael Gomes Brasil +1 more
doaj +1 more source
Standard regression models focus on the mean response based on covariates. Quantile regression describes the quantile for a response conditioned to values of covariates.
Luis Sánchez +4 more
doaj +1 more source
Quantile calculus and censored regression
Quantile regression has been advocated in survival analysis to assess evolving covariate effects. However, challenges arise when the censoring time is not always observed and may be covariate-dependent, particularly in the presence of continuously ...
Huang, Yijian
core +1 more source
Heuristically Adaptive Diffusion‐Model Evolutionary Strategy
Building on the mathematical equivalence between diffusion models and evolutionary algorithms, researchers demonstrate unprecedented control over evolutionary optimization through conditional diffusion. By training diffusion models to associate parameters with specific traits, they can guide evolution toward solutions exhibiting desired behaviors ...
Benedikt Hartl +3 more
wiley +1 more source
Restricted Regression Quantiles
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Various studies have been conducted to examine the effect of COVID-19 on stock prices. However, these studies failed to examine the effect across quantile distributions of both dependent and independent variables.
Shabir Mohsin Hashmi, B. Chang, Li Rong
semanticscholar +1 more source
Mid‐infrared optoacoustic microscopy (MiROM) acquires lipid‐ and protein‐ associated vibrational contrast in intact fat tissue without dyes, preserving native tissue architecture. Through lateral and axial segmentation, MiROM tracks intrinsic intracellular changes during postnatal remodeling. A quantitative spatial analysis tool (Q‐SAT) maps white‐ and
Myeongseop Kim +7 more
wiley +1 more source

