Rebecca Morrison

1. Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting
   2017/11/02 by Rebecca Morrison, Morrison, Rebecca E., Ricardo Baptista +3 · 1 citation
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
2. Learning non-Gaussian graphical models via Hessian scores and triangular transport
   2021/01/08 by Ricardo Baptista, Baptista, Ricardo, Youssef Marzouk +5 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Bayesian Modeling and Causal Inference #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metabolomics and Mass Spectrometry Studies
3. Exact mean and covariance formulas after diagonal transformations of a multivariate normal
   2024/06/28 by Rebecca Morrison, Morrison, Rebecca, Estelle Basor +1 · 1 citation
   Mathematics · #Advanced Statistical Methods and Models #FOS: Mathematics #Statistical and numerical algorithms #Statistics Theory (math.ST)
4. The LRRK2 G2019S variant rewires Rab GTPase phosphorylation after lysosomal damage and promotes cell death in human macrophages
   2026/07/27 by Rebecca Morrison, Simeon R. Mihaylov, Chak Hon Luk +7