A new modeling technique using expansion of moments of data was implemented on MC-data of Z->uu decay. The method differ from previous methods in that it avoids the need to choose arbitrary parametrisation and fitting
Theory and methods to obtain reduced order models by moment matching from input/output data are pres...
This dissertation concerns methods for inference on quantiles in various models. Methods that are as...
Mathematical models are at the core of modern science and technology. An accurate description of beh...
We introduce the Method of Simulated Quantiles, or MSQ, an indirect inference method based on quanti...
We introduce a class of linear quantile regression estimators for panel data. Our framework contains...
This paper addresses the problem of computing the k-moments of a plant from a finite number of measu...
This paper develops a model of quantile treatment effects with treatment endo-geneity. The model pri...
A new method of moments for solving the population balance equation is developed and presented. The ...
We empirically evaluate lightweight moment estimators for the single-pass quantile approximation pro...
Conventional analysis using quantile regression typically focuses on fitting the regres-sion model a...
Mathematical models are at the core of modern science and technology. An accurate description of beh...
We study the conditions under which it is possible to estimate regression quantiles by estimating co...
37 pages; 1 figure;A novel approach to quantile estimation in multivariate linear regression models ...
We develop quantile regression methods for discrete responses by extending Parzen’s definition of ma...
Theory and methods to obtain reduced order models by moment matching from input/output data are pres...
This dissertation concerns methods for inference on quantiles in various models. Methods that are as...
Mathematical models are at the core of modern science and technology. An accurate description of beh...
We introduce the Method of Simulated Quantiles, or MSQ, an indirect inference method based on quanti...
We introduce a class of linear quantile regression estimators for panel data. Our framework contains...
This paper addresses the problem of computing the k-moments of a plant from a finite number of measu...
This paper develops a model of quantile treatment effects with treatment endo-geneity. The model pri...
A new method of moments for solving the population balance equation is developed and presented. The ...
We empirically evaluate lightweight moment estimators for the single-pass quantile approximation pro...
Conventional analysis using quantile regression typically focuses on fitting the regres-sion model a...
Mathematical models are at the core of modern science and technology. An accurate description of beh...
We study the conditions under which it is possible to estimate regression quantiles by estimating co...
37 pages; 1 figure;A novel approach to quantile estimation in multivariate linear regression models ...
We develop quantile regression methods for discrete responses by extending Parzen’s definition of ma...
Theory and methods to obtain reduced order models by moment matching from input/output data are pres...
This dissertation concerns methods for inference on quantiles in various models. Methods that are as...
Mathematical models are at the core of modern science and technology. An accurate description of beh...
View in ORKG