The following pages link to On Profile Likelihood (Q4541296):
Displaying 50 items.
- Semiparametric likelihood ratio inference (Q1372844) (← links)
- Asymptotics and the theory of inference (Q1430906) (← links)
- Large sample theory for semiparametric regression models with two-phase, outcome dependent sampling. (Q1434007) (← links)
- Profile quasi-likelihood (Q1612984) (← links)
- Competing risk model with bivariate random effects for clustered survival data (Q1654278) (← links)
- Efficient and robust tests for semiparametric models (Q1656860) (← links)
- Two-phase outcome-dependent studies for failure times and testing for effects of expensive covariates (Q1698940) (← links)
- Factor models for asset returns based on transformed factors (Q1739597) (← links)
- A confidence building exercise in data and identifiability: modeling cancer chemotherapy as a case study (Q1746121) (← links)
- Efficient semiparametric estimators via modified profile likelihood (Q1765673) (← links)
- Tensors and likelihood expansions in the presence of nuisance parameters (Q1768098) (← links)
- Efficient estimation of Banach parameters in semiparametric models (Q1781163) (← links)
- Missing information principle: a unified approach for general truncated and censored survival data problems (Q1799350) (← links)
- Variable selection for Cox's proportional hazards model and frailty model (Q1848930) (← links)
- M-estimation using penalties or sieves (Q1866217) (← links)
- A general transformation class of semiparametric cure rate frailty models (Q1926007) (← links)
- Comparing two samples by penalized logistic regression (Q1951763) (← links)
- Scalable Monte Carlo inference and rescaled local asymptotic normality (Q1983623) (← links)
- Behavioral modeling in weight loss interventions (Q1991236) (← links)
- Asymptotic analysis of a new dynamic semiparametric regression model with cross-effects of survivals (Q2016258) (← links)
- Adaptive estimation in symmetric location model under log-concavity constraint (Q2044404) (← links)
- Stein 1956: Efficient nonparametric testing and estimation (Q2054465) (← links)
- Semiparametric model for regression analysis with nonmonotone missing data (Q2059105) (← links)
- Stochastic local interaction model: an alternative to kriging for massive datasets (Q2066859) (← links)
- Profile likelihood-based confidence interval for the standard deviation of the two-parameter exponential distribution (Q2107903) (← links)
- Tumorigenesis and axons regulation for the pancreatic cancer: a mathematical approach (Q2109252) (← links)
- Partial linear regression of compositional data (Q2111955) (← links)
- On an extension of the promotion time cure model (Q2119242) (← links)
- A new method for regression analysis of interval-censored data with the additive hazards model (Q2131959) (← links)
- Learning transmission dynamics modelling of COVID-19 using \textbf{comomodels} (Q2147439) (← links)
- Model selection among dimension-reduced generalized Cox models (Q2163817) (← links)
- Integrative survival analysis with uncertain event times in application to a suicide risk study (Q2179942) (← links)
- Semiparametric Bayesian causal inference (Q2215769) (← links)
- Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning (Q2218092) (← links)
- Generalized inferential models for censored data (Q2237534) (← links)
- Semiparametric inference for merged data from multiple data sources (Q2242870) (← links)
- Estrogen receptor expression on breast cancer patients' survival under shape-restricted Cox regression model (Q2247474) (← links)
- Bias-corrected empirical likelihood in a multi-link semiparametric model (Q2267586) (← links)
- Consistent semiparametric estimators for recurrent event times models with application to virtual age models (Q2278672) (← links)
- Efficient estimation and computation of parameters and nonparametric functions in generalized semi/non-parametric regression models (Q2280589) (← links)
- Profile likelihood biclustering (Q2293724) (← links)
- Efficient estimation in single index models through smoothing splines (Q2295045) (← links)
- Maximum likelihood estimation in transformed linear regression with nonnormal errors (Q2313272) (← links)
- Tracking for parameter and state estimation in possibly misspecified partially observed linear ordinary differential equations (Q2317251) (← links)
- Inference of finite mixture models and the effect of binning (Q2325034) (← links)
- Comment: ``Bayes, oracle Bayes and empirical Bayes'' (Q2325629) (← links)
- Joint asymptotics for semi-nonparametric regression models with partially linear structure (Q2352744) (← links)
- Extremum estimation and numerical derivatives (Q2354853) (← links)
- Asymptotic results for maximum likelihood estimators in joint analysis of repeated measurements and survival time (Q2368849) (← links)
- Penalized log-likelihood estimation for partly linear transformation models with current status data (Q2368853) (← links)
