Results 151 to 160 of about 27,081 (245)

Efficient Estimation of Copula-based Semiparametric Markov Models [PDF]

This paper considers efficient estimation of copula-based semiparametric strictly stationary Markov models. These models are characterized by nonparametric invariant (one-dimensional marginal) distributions and parametric bivariate copula functions ...
Yanping Yi, Xiaohong Chen, Wei Biao Wu
core  

Divergence and Model Adequacy, a Semiparametric Case Study. [PDF]

Entropy (Basel)
Broniatowski M, Moutsouka J.
europepmc   +1 more source

Distilling noise characteristics and prior expectations in multisensory causal inference. [PDF]

PLoS Comput Biol
Liu S, Holland T, Ma WJ, Acerbi L.
europepmc   +1 more source

Endogenous semiparametric binary choice models with heteroscedasticity [PDF]

In this paper we consider endogenous regressors in the binary choice model under a weak median exclusion restriction, but without further specification of the distribution of the unobserved random components.
Stefan Hoderlein
core  

Semiparametric accelerated failure time models with time-varying covariates under partly interval censoring. [PDF]

BMC Med Res Methodol
Bhaskaran A, Ma D, Liquet B, Hong A, Heritier S, Lo SN, Ma J.   +6 more
europepmc   +1 more source

Semiparametric Joint Modeling for Survival Analysis with Longitudinal Covariates. [PDF]

J Am Stat Assoc
Guo W, Wang T.
europepmc   +1 more source

Difference based Ridge and Liu type Estimators in Semiparametric Regression Models [PDF]

We consider a difference based ridge regression estimator and a Liu type estimator of the regression parameters in the partial linear semiparametric regression model, y = Xβ + f + ε.
Wolfgang Karl Härdle, Maria Osipenko, Esra Akdeniz Duran   +2 more
core  

Penalized estimation of linear transformation models for interval-censored data with time-dependent covariates. [PDF]

Stat Methods Med Res
Lu M, Zhang Y, Li CS, Shan G.
europepmc   +1 more source

Semiparametric Estimation of Stochastic Frontiers A Bayesian Penalized Approach [PDF]

Almost all previous approaches to estimating semiparametric frontier models, where the functional form for the production (cost) function is unknown, have been local nonparametric (ie. kernel) approaches. In this paper we use a penalized (ie.
Gholamreza Hajargasht
core  

Causal K-Means Clustering. [PDF]

J R Stat Soc Series B Stat Methodol
Kim K, Kim J, Kennedy EH.
europepmc   +1 more source