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41
Modifications of Q-Learning to Optimize Dynamic Treatment Regimes
Modifications of Q-Learning to Optimize Dynamic Treatment Regimes
Zhang, Yuan. | University of Minnesota | 2021
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42
Statistical Methods for Modeling Progression and Learning Mechanisms of Neuropsychiatric Disorders
Statistical Methods for Modeling Progression and Learning Mechanisms of Neuropsychiatric Disorders
Wang, Qinxia. | Columbia University | 2021
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informations de localisation
43
Invasions with Fat-Tailed and Long-Distance Dispersal
Invasions with Fat-Tailed and Long-Distance Dispersal
Liu, Benjamin R. | University of Washington | 2021
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informations de localisation
44
Investigations of Neural Networks and Long-Term Memory
Investigations of Neural Networks and Long-Term Memory
Monk, Bradley Ross. | University of California, San Diego | 2021
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45
Bayesian Modeling in Personalized Medicine with Applications to N-of-1 Trials
Bayesian Modeling in Personalized Medicine with Applications to N-of-1 Trials
Liao, Ziwei. | Columbia University | 2021
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46
Sparse Partial Least Squares Methods and Extensions for Modeling Heart-Healthy Diets
Sparse Partial Least Squares Methods and Extensions for Modeling Heart-Healthy Diets
Gasca, Natalie C. | University of Washington | 2021
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47
Multilevel Time Dynamic Modeling of Hospitalization Risk in Patients on Dialysis
Multilevel Time Dynamic Modeling of Hospitalization Risk in Patients on Dialysis
Li, Yihao. | University of California, Los Angeles | 2021
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48
On Model Determination, Prediction and Statistical Learning: The Case of Space-Time Data
On Model Determination, Prediction and Statistical Learning: The Case of Space-Time Data
Watson, Gregory Luke. | University of California, Los Angeles | 2021
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49
Time-to-Event Methods for Complex Survey Data with Focus on Non- and Semi-Parametric Inference for National Health Surveys
Time-to-Event Methods for Complex Survey Data with Focus on Non- and Semi-Parametric Inference for National Health Surveys
Ritter, Victor. | The University of North Carolina at Chapel Hill | 2021
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50
Conditional and Marginal Imputation Models for Multilevel Data
Conditional and Marginal Imputation Models for Multilevel Data
Liu, Gang. | State University of New York at Albany | 2021
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