Pages that link to "Item:Q1099547"
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The following pages link to Non-parametric analysis of a generalized regression model. The maximum rank correlation estimator (Q1099547):
Displaying 50 items.
- Asymptotic inference from multi-stage samples (Q262753) (← links)
- Partial rank estimation of duration models with general forms of censoring (Q278253) (← links)
- An efficient nonparametric estimator for models with nonlinear dependence (Q278497) (← links)
- Identification and information in monotone binary models (Q280231) (← links)
- Kernel estimation of hazard functions when observations have dependent and common covariates (Q284290) (← links)
- Endogenous selection or treatment model estimation (Q289184) (← links)
- Estimating a generalized correlation coefficient for a generalized bivariate probit model (Q289201) (← links)
- Rank-based inference for the single-index model (Q419168) (← links)
- Rank correlation estimators and their limiting distributions (Q451344) (← links)
- Variable selection of generalized regression models based on maximum rank correlation (Q477519) (← links)
- Pairwise-difference estimation of incomplete information games (Q527923) (← links)
- A concentrated, nonlinear information-theoretic estimator for the sample selection model (Q657475) (← links)
- Robust rank correlation based screening (Q693749) (← links)
- Semiparametric estimation of a simultaneous game with incomplete information (Q736537) (← links)
- Root-\(N\)-consistent estimation of fixed-effect panel data transformation models with censoring (Q736701) (← links)
- A family of empirical likelihood functions and estimators for the binary response model (Q738022) (← links)
- Set identification via quantile restrictions in short panels (Q738106) (← links)
- Estimating robot strengths with application to selection of alliance members in FIRST robotics competitions (Q830078) (← links)
- Weighted rank estimation for nonparametric transformation models with nonignorable missing data (Q830580) (← links)
- A rank-based approach to estimating monotone individualized two treatment regimes (Q830619) (← links)
- Microeconometric models and anonymized micro data (Q862787) (← links)
- Maximum score change-point estimation in binary response model (Q882523) (← links)
- Monotone rank estimation of transformation models with length-biased and right-censored data (Q892789) (← links)
- A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation (Q1019910) (← links)
- Rank regression (Q1107924) (← links)
- Semiparametric estimation of censored selection models with a nonparametric selection mechanism (Q1260680) (← links)
- Semiparametric least squares (SLS) and weighted SLS estimation of single-index models (Q1260683) (← links)
- Nonparametric identification and estimation of polychotomous choice models (Q1260685) (← links)
- On the computation of semiparametric estimates in limited dependent variable models (Q1260688) (← links)
- Large computation of the maximum rank correlation estimator (Q1285734) (← links)
- Rank regression for current-status data: Asymptotic normality (Q1292781) (← links)
- Rank estimators for monotonic index models (Q1298455) (← links)
- Semiparametric estimation of a censored regression model with an unknown transformation of the dependent variable (Q1298464) (← links)
- Distribution-free estimation of the random coefficient dummy endogenous variable model (Q1298482) (← links)
- Misclassification of the dependent variable in a discrete-response setting (Q1305631) (← links)
- Semiparametric maximum likelihood estimation of polychotomous and sequential choice models (Q1343376) (← links)
- Efficient estimation in conditional single-index regression (Q1403413) (← links)
- Estimating linear regressions with mismeasured, possibly endogenous, binary explanatory variables (Q1410570) (← links)
- Rates of convergence for estimating regression coefficients in heteroskedastic discrete response models (Q1414625) (← links)
- Rank estimation of a location parameter in the binary choice model (Q1586551) (← links)
- A nonparametric multiple choice method within the random utility framework (Q1586556) (← links)
- A consistent bootstrap procedure for the maximum score estimator (Q1644259) (← links)
- A forward and backward stagewise algorithm for nonconvex loss functions with adaptive Lasso (Q1662870) (← links)
- Semiparametric estimation and efficiency bounds of binary choice models when the models contain one continuous variable (Q1676591) (← links)
- Optimal estimation of slope vector in high-dimensional linear transformation models (Q1755121) (← links)
- General rank-based estimation for regression single index models (Q1786907) (← links)
- A data-driven bandwidth selection method for the smoothed maximum score estimator (Q1787697) (← links)
- Estimating a unitary effect summary based on combined survival and quantitative outcomes (Q1800122) (← links)
- Linear regression with interval censored data (Q1807121) (← links)
- Leapfrog estimation of a fixed-effects model with unknown transformation of the dependent variable (Q1808544) (← links)
