Dynamic Semiparametric Factor Models in Risk Neutral Density Estimation [PDF]
Dimension reduction techniques for functional data analysis model and approximate smooth random functions by lower dimensional objects. In many applications the focus of interest lies not only in dimension reduction but also in the dynamic behaviour of ...
Volker Krätschmer +2 more
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Distilling noise characteristics and prior expectations in multisensory causal inference. [PDF]
PLoS Comput BiolLiu S, Holland T, Ma WJ, Acerbi L.
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Nonparametric Regression on Latent Covariates with an Application to Semiparametric GARCH-in-Mean Models [PDF]
We consider time series models in which the conditional mean of the response variable given the past depends on latent covariates. We assume that the covariates can be estimated consistently and use an iterative nonparametric kernel smoothing procedure ...
Christian Conrad, Enno Mammen
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Semiparametric accelerated failure time models with time-varying covariates under partly interval censoring. [PDF]
BMC Med Res MethodolBhaskaran A +6 more
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Variable selection in strong hierarchical semiparametric models for longitudinal data. [PDF]
Stat Interface, 2015 Zeng X, Ma S, Qin Y, Li Y.
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Semiparametric Joint Modeling for Survival Analysis with Longitudinal Covariates. [PDF]
J Am Stat AssocGuo W, Wang T.
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Penalized estimation of linear transformation models for interval-censored data with time-dependent covariates. [PDF]
Stat Methods Med ResLu M, Zhang Y, Li CS, Shan G.
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A Neutral Comparison of Multivariate Hypothesis Tests for Parallel Group Designs in Rare Disease Settings. [PDF]
Stat MedGeroldinger M +4 more
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An Innovative Semiparametric Density Model for the Statistical Characterization of Ground-Vehicle Radar Cross Sections. [PDF]
Sensors (Basel)Liu Z, Wen S, Sun H, Deng M.
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MSstatsResponse: Semiparametric Statistical Model Enhances Detection of Drug-Protein Interactions in Chemoproteomics Experiments. [PDF]
Mol Cell ProteomicsSzvetecz S +8 more
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