research
∙
03/24/2023
Sequential Knockoffs for Variable Selection in Reinforcement Learning
In real-world applications of reinforcement learning, it is often challe...
share
research
∙
06/13/2022
Inference for change-plane regression
We establish the asymptotic behavior of change-plane estimators. Two typ...
research
∙
03/11/2020
A spatiotemporal recommendation engine for malaria control
Malaria is an infectious disease affecting a large population across the...
research
∙
12/13/2019
High dimensional precision medicine from patient-derived xenografts
The complexity of human cancer often results in significant heterogeneit...
research
∙
06/16/2019
Sample Size Calculations for SMARTs
Sequential Multiple Assignment Randomized Trials (SMARTs) are considered...
research
∙
05/28/2019
Global forensic geolocation with deep neural networks
An important problem in forensic analyses is identifying the provenance ...
research
∙
05/12/2019
Note on Thompson sampling for large decision problems
There is increasing interest in using streaming data to inform decision ...
research
∙
01/03/2019
Efficient augmentation and relaxation learning for individualized treatment rules using observational data
Individualized treatment rules aim to identify if, when, which, and to w...
research
∙
12/20/2018
Generalization error for decision problems
In this entry we review the generalization error for classification and ...
research
∙
12/04/2018
Hierarchical Continuous Time Hidden Markov Model, with Application in Zero-Inflated Accelerometer Data
Wearable devices including accelerometers are increasingly being used to...
research
∙
11/11/2018
Thompson Sampling for Pursuit-Evasion Problems
Pursuit-evasion is a multi-agent sequential decision problem wherein a g...
research
∙
10/10/2018
Bayesian Nonparametric Policy Search with Application to Periodontal Recall Intervals
Tooth loss from periodontal disease is a major public health burden in t...
research
∙
07/17/2018
Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines
Many problems that appear in biomedical decision making, such as diagnos...
research
∙
11/28/2017
Estimation and Optimization of Composite Outcomes
There is tremendous interest in precision medicine as a means to improve...
research
∙
04/25/2017
Sufficient Markov Decision Processes with Alternating Deep Neural Networks
Advances in mobile computing technologies have made it possible to monit...
research
∙
11/10/2016
Estimating Dynamic Treatment Regimes in Mobile Health Using V-learning
The vision for precision medicine is to use individual patient character...
research
∙
07/12/2012
Set-valued dynamic treatment regimes for competing outcomes
Dynamic treatment regimes operationalize the clinical decision process a...
research
∙
02/19/2012