The following pages link to (Q4277836):
Displaying 50 items.
- Estimation of smooth functionals in normal models: bias reduction and asymptotic efficiency (Q2054520) (← links)
- Scale calibration for high-dimensional robust regression (Q2074316) (← links)
- Semiparametrically efficient estimation of the average linear regression function (Q2074616) (← links)
- Extremes and regular variation (Q2080146) (← links)
- Data-adaptive efficient estimation strategies for biomarker studies embedded in randomized trials (Q2080742) (← links)
- Nonregular and minimax estimation of individualized thresholds in high dimension with binary responses (Q2091840) (← links)
- Estimation of smooth functionals in high-dimensional models: bootstrap chains and Gaussian approximation (Q2091847) (← links)
- Consistency of invariance-based randomization tests (Q2091850) (← links)
- Continuous-time targeted minimum loss-based estimation of intervention-specific mean outcomes (Q2105179) (← links)
- Adaptive Bayesian inference for current status data on a grid (Q2108484) (← links)
- Batch policy learning in average reward Markov decision processes (Q2112817) (← links)
- Semiparametric latent-class models for multivariate longitudinal and survival data (Q2119239) (← links)
- On an extension of the promotion time cure model (Q2119242) (← links)
- Parametric copula adjusted for non- and semiparametric regression (Q2131254) (← links)
- A new method for regression analysis of interval-censored data with the additive hazards model (Q2131959) (← links)
- De-biasing the Lasso with degrees-of-freedom adjustment (Q2136990) (← links)
- Asymptotically efficient estimators for stochastic blockmodels: the naive MLE, the rank-constrained MLE, and the spectral estimator (Q2137006) (← links)
- Doubly robust semiparametric inference using regularized calibrated estimation with high-dimensional data (Q2137036) (← links)
- Deep learning for the partially linear Cox model (Q2148978) (← links)
- Efficient estimation in a partially specified nonignorable propensity score model (Q2157489) (← links)
- Identification of the outcome distribution and sensitivity analysis under weak confounder-instrument interaction (Q2170243) (← links)
- Semiparametric inference for a two-stage outcome-dependent sampling design with interval-censored failure time data (Q2176311) (← links)
- Two-step semiparametric empirical likelihood inference (Q2176605) (← links)
- Estimation and inference in partially functional linear regression with multiple functional covariates (Q2189097) (← links)
- Estimators of quantile difference between two samples with length-biased and right-censored data (Q2195743) (← links)
- On post dimension reduction statistical inference (Q2196236) (← links)
- Inference for semiparametric Gaussian copula model adjusted for linear regression using residual ranks (Q2203624) (← links)
- Sharp instruments for classifying compliers and generalizing causal effects (Q2215722) (← links)
- Minimax estimation of large precision matrices with bandable Cholesky factor (Q2215744) (← links)
- Additive regression with Hilbertian responses (Q2215755) (← links)
- Optimal pseudo-Gaussian and rank-based random coefficient detection in multiple regression (Q2215956) (← links)
- Semiparametric efficient estimation for additive hazards regression with case II interval-censored survival data (Q2218809) (← links)
- A general semiparametric approach to inference with marker-dependent hazard rate models (Q2225000) (← links)
- A simple R-estimation method for semiparametric duration models (Q2227067) (← links)
- Performance guarantees for policy learning (Q2227481) (← links)
- Adaptive inference for a semiparametric generalized autoregressive conditional heteroskedasticity model (Q2236868) (← links)
- Robust estimation with exponentially tilted Hellinger distance (Q2236869) (← links)
- Asymptotically optimal tests for non-linear autoregressive model with \(\beta \)-ARCH errors (Q2244596) (← links)
- On the errors committed by sequences of estimator functionals (Q2261907) (← links)
- Comparison of causal effect estimators under exposure misclassification (Q2266902) (← links)
- On doubly robust estimation for logistic partially linear models (Q2273735) (← links)
- Semiparametric sieve maximum likelihood estimation under cure model with partly interval censored and left truncated data for application to spontaneous abortion (Q2274692) (← links)
- A semiparametric efficient estimator in case-control studies for gene-environment independent models (Q2274929) (← links)
- Efficient estimation and computation of parameters and nonparametric functions in generalized semi/non-parametric regression models (Q2280589) (← links)
- Kernel density regression (Q2301065) (← links)
- Smooth backfitting for errors-in-variables varying coefficient regression models (Q2305306) (← links)
- On estimation of functions of a parameter observed in Gaussian noise (Q2313795) (← links)
- Inferences with generalized partially linear single-index models for longitudinal data (Q2317281) (← links)
- Semiparametrically efficient estimation of Euclidean parameters under equality constraints (Q2317299) (← links)
- Efficient sieve maximum likelihood estimation of time-transformation models (Q2320838) (← links)
