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20082026
most citedRegression rank scores in nonlinear models

9 citations · 12 across the 7 of their papers we have counts for

collaborators

7 papers

stat.ME2026

Estimation of the Risk Measure under a Nuisance Autoregression

Jana Jurečková, Jan Picek

The goal of an experiment is to evaluate the profit, loss, or the amount of a physical entity over a period. The measurements can be influenced by the values measured in the…

stat.ME2024

Estimation of Quantile Functionals in Linear Model

Jana Jurečková, Jan Picek, Jan Kalina

Various indicators and measures of the real life procedures rise up as functionals of the quantile process of a parent random variable Z. However, Z can be observed only through a…

stat.ME2022

Estimation of Expected Shortfall under Various Experimental Conditions

Jana Jurečková, Jan Kalina, Jan Večeř

Our primary aim is to find an estimate of the expected shortfall in various situations: (1) Nonparametric situation, when the probability distribution of the incurred loss is unkno…

math.ST2021

Process of the slope components of -regression quantile

Jana Jurečková

We consider the linear regression model along with the process of its -regression quantile, . We are interested mainly in the slope components of -regression quantile…

math.ST2017★ 1 cited

Empirical regression quantile process with possible application to risk analysis

Jana Jurečková, Martin Schindler, Jan Picek

The processes of the averaged regression quantiles and of their modifications provide useful tools in the regression models when the covariates are not fully under our control. As…

cond-mat.str-el2015★ 2 cited

Effects of correlated hopping on electronic ferroelectricity in the extended Falicov-Kimball model in two dimensions

P. Farkašovský, J. Jurečková

We use the Hartree-Fock (HF) approximation with the charge-density-wave (CDW) instability to study the effect of correlated hopping on the stability of electronic ferroelectricity…

math.ST2008★ 9 cited

Regression rank scores in nonlinear models

Jana Jurečková

Consider the nonlinear regression model $Y_i=g({\bf x}_i,\boldmath $θ(1) with $\boldmathθ=(θ_0,θ_1,...,θ_p)^{\prime}\in \boldmat…