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Multi-Task Learning for Sparsity Pattern Heterogeneity: A Discrete Optimization Approach
Kayhan Behdin*, Gabriel Loewinger*, Kenneth T. Kishida, Giovanni Parmigiani, Rahul Mazumder
Capturing instantaneous neural signal-behavior relationships with concurrent functional mixed models
Al W Xin, Erjia Cui, Francisco Pereira, Gabriel Loewinger
Causal Inference in Studies with Functional Unmasking: Psychedelics and Beyond
Gabriel Loewinger, Mats Julius Stensrud, Sandeep M Nayak, David B Yaden, Alex W Levis
Nonparametric causal inference for optogenetics: sequential excursion effects for dynamic regimes
Gabriel Loewinger*, Alex Levis*, Francisco Pereira
Fast Penalized Generalized Estimating Equations for Large Longitudinal Functional Datasets
Gabriel Loewinger, Alex Levis, Erjia Cui, Francisco Pereira
Causal inference in the closed-loop: marginal structural models for sequential excursion effects
Alex Levis*, Gabriel Loewinger*, Francisco Pereira
Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation
Gabriel Loewinger, Rolando Acosta Nunez, Rahul Mazumder, Giovanni Parmigiani
A Statistical Framework for Analysis of Trial-Level Temporal Dynamics in Fiber Photometry Experiments
Gabriel Loewinger, Erjia Cui, David Lovinger, Francisco Pereira
Hierarchical resampling for bagging in multistudy prediction with applications to human neurochemical sensing
Gabriel Loewinger, Prasad Patil, Kenneth T. Kishida, Giovanni Parmigiani
Protocol for Outcome Evaluation of Ayahuasca-Assisted Addiction Treatment: The Case of Takiwasi Center
Brian Rush, Olivia Marcus, Sara Garcia, Anja Loizaga-Velder, Gabriel Loewinger, Ariane Spitalier, Fernando Mendive