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12/03/2022
Accounting for Time Dependency in Meta-Analyses of Concordance Probability Estimates
Recent years have seen the development of many novel scoring tools for d...
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10/21/2022
Optimal Pose Estimation and Covariance Analysis with Simultaneous Localization and Mapping Applications
This work provides a theoretical analysis for optimally solving the pose...
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10/21/2022
Error-Covariance Analysis of Monocular Pose Estimation Using Total Least Squares
This study presents a theoretical structure for the monocular pose estim...
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09/14/2022
Model-based recursive partitioning for discrete event times
Model-based recursive partitioning (MOB) is a semi-parametric statistica...
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09/02/2022
A Failure Identification and Recovery Framework for a Planar Reconfigurable Cable Driven Parallel Robot
In cable driven parallel robots (CDPRs), a single cable malfunction usua...
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06/22/2021
Total Least Squares for Optimal Pose Estimation
This work provides a theoretical framework for the pose estimation probl...
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01/30/2020
Assessing the Calibration of Subdistribution Hazard Models in Discrete Time
The generalization performance of a risk prediction model can be evaluat...
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07/01/2019
State-of-the-art in selection of variables and functional forms in multivariable analysis -- outstanding issues
How to select variables and identify functional forms for continuous var...
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01/18/2019
A Random Forest Approach for Modeling Bounded Outcomes
Random forests have become an established tool for classification and re...
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02/22/2018
Correlation-Adjusted Regression Survival Scores for High-Dimensional Variable Selection
Background: The development of classification methods for personalized m...
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02/22/2018
Correlation-Adjusted Survival Scores for High-Dimensional Variable Selection
Background: The development of classification methods for personalized m...
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02/27/2017
An update on statistical boosting in biomedicine
Statistical boosting algorithms have triggered a lot of research during ...
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09/09/2016
Boosting Joint Models for Longitudinal and Time-to-Event Data
Joint Models for longitudinal and time-to-event data have gained a lot o...
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07/24/2013
