Results 41 to 50 of about 206,054 (294)
A new mathematical strategy for creating asymmetric continuous distributions [PDF]
AsymmetryIn this article, we present a new mathematical strategy for creating flexible asymmetric continuous distributions. It is designed to introduce asymmetry into any distribution with the entire real line as support, thanks to the tuning of two parameters ...
Christophe Chesneau
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Estimation in functional linear quantile regression
, 2013 This paper studies estimation in functional linear quantile regression in which the dependent variable is scalar while the covariate is a function, and the conditional quantile for each fixed quantile index is modeled as a linear functional of the ...
Kato, Kengo
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Bayesian analysis of a Tobit quantile regression model [PDF]
, 2007 This paper develops a Bayesian framework for Tobit quantile regression. Our approach is organized around a likelihood function that is based on the asymmetric Laplace dis- tribution, a choice that turns out to be natural in this context.
Stander, J, Yu, K
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Multivariate Quantile Function Forecaster
, 2022 We propose Multivariate Quantile Function Forecaster (MQF$^2$), a global probabilistic forecasting method constructed using a multivariate quantile function and investigate its application to multi-horizon forecasting. Prior approaches are either autoregressive, implicitly capturing the dependency structure across time but exhibiting error accumulation
Kan, Kelvin +6 more
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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
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Newdistns: An R Package for New Families of Distributions
Journal of Statistical Software, 2016 The contributed R package Newdistns written by the authors is introduced. This package computes the probability density function, cumulative distribution function, quantile function, random numbers and some measures of inference for nineteen families of ...
Saralees Nadarajah, Ricardo Rocha
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Mathematical and Computational Applications, 2023 Exploration of solar irradiance can greatly assist in understanding how renewable energy can be better harnessed. It helps in establishing the solar irradiance climate in a particular region for effective and efficient harvesting of solar energy ...
Daniel Maposa +2 more
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Extreme Events Analysis Using LH-Moments Method and Quantile Function Family
Hydrology, 2023 A direct way to estimate the likelihood and magnitude of extreme events is frequency analysis. This analysis is based on historical data and assumptions of stationarity, and is carried out with the help of probability distributions and different methods ...
Cristian Gabriel Anghel +2 more
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Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes [PDF]
Journal of the American Statistical Association, 2016 Quantile and quantile effect functions are important tools for descriptive and causal analyses due to their natural and intuitive interpretation. Existing inference methods for these functions do not apply to discrete random variables. This paper offers a simple, practical construction of simultaneous confidence bands for quantile and quantile effect ...
Chernozhukov, Victor +3 more
openaire +9 more sources
FEBS Open Bio, EarlyView.Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold +11 more
wiley +1 more source