Generalized functional linear model with a point process predictor
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Publication:6618446
DOI10.1002/SIM.10023zbMATH Open1545.6258MaRDI QIDQ6618446
Publication date: 14 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Functional linear regression analysis for longitudinal data
- A reproducing kernel Hilbert space approach to functional linear regression
- Asymptotic normality and valid inference for Gaussian variational approximation
- On the limited memory BFGS method for large scale optimization
- A comparison of GCV and GML for choosing the smoothing parameter in the generalized spline smoothing problem
- Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- P-splines with an \(\ell_1\) penalty for repeated measures
- A review of self-exciting spatio-temporal point processes and their applications
- Quantile regression-based Bayesian joint modeling analysis of longitudinal-survival data, with application to an AIDS cohort study
- Generalized functional linear models
- Functional data analysis.
- A class of joint models for multivariate longitudinal measurements and a binary event
- Generalized Multilevel Functional Regression
- Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data
- Simultaneous variable selection for joint models of longitudinal and survival outcomes
- A Joint Model for Longitudinal Measurements and Survival Data in the Presence of Multiple Failure Types
- Inference in Generalized Additive Mixed Models by Using Smoothing Splines
- Log Gaussian Cox Processes
- A Joint Model for Survival and Longitudinal Data Measured with Error
- Semiparametric Regression
- Generalized Linear Models with Functional Predictors
- Approximate Inference in Generalized Linear Mixed Models
- Cox Point Process Regression
- Bayesian Scalar on Image Regression With Nonignorable Nonresponse
- Semiparametric Regression Using Variational Approximations
- Bayesian Semiparametric Joint Models for Functional Predictors
- Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements
- Joint Models for a Primary Endpoint and Multiple Longitudinal Covariate Processes
- Calculation of Gauss Quadrature Rules
- Spatial and spatio-temporal log-Gaussian Cox processes: extending the geostatistical paradigm
- Joint penalized spline modeling of multivariate longitudinal data, with application to HIV‐1 RNA load levels and CD4 cell counts
- Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach
- Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's Disease
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