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Background Coarctation of the aorta (CoA) has good modern results, but large multicentre longitudinal data on outcomes, especially hospital resource utilisation through childhood and adolescence, are ...
But in neural network quantile regression, you must also watch the current quantile value to make sure you approach the desired quantile percentile value. Evaluating and Using the Neural Network ...
You can then modify the model's prediction method by adding some constant to the normal predicted values so that 80% of the predictions are greater than the associated target values. This naive ...
To address systematic batch effects, we apply a negative binomial regression model and correct for consistent batch influences by excluding fixed batch effects. Additionally, to handle nonsystematic ...
Abstract This paper develops a distribution-on-scalar single-index quantile regression modeling framework to investigate the relationship between cancer imaging responses and scalar covariates of ...
ABSTRACT: As extremely important methods, Lp regression methods have attracted the attention of either theoretical or empirical researchers all over the world. As special cases of that, quantile and ...
OpenAI's latest flagship model, GPT-4o, might actually be regressing, diminishing its performance to that of its smaller variant GPT-40-mini.
Furthermore, the paper discusses the practical aspects of the PUW-quantile regression model and its MLE, employing residual analysis in simulation studies. The flexibility of the PUW and PUW-quantile ...
The flexibility of the PUW and PUW-quantile regression model is demonstrated through six real-life applications, showcasing their superior performance when compared to other popularly used models.
KEYWORDS: Homeownership, Quantile Regression, Adapted-He Approach, Local Polynomial Estimator, B-Spline, S-Spline, P-Spline, Nadaraya-Watson Estimator JOURNAL NAME: Open Access Library Journal, Vol.11 ...
Multivariable logistic regression and quantile regression were used to investigate the outcomes of interest: emergency medical services (EMS) transport (versus private vehicle), EMS prehospital ...