Marianne Menictas
Marianne Menictas
Postdoctoral Researcher, Harvard University
Verified email at - Homepage
Cited by
Cited by
Variational inference for marginal longitudinal semiparametric regression
M Menictas, MP Wand
Stat 2 (1), 61-71, 2013
Variational inference for heteroscedastic semiparametric regression
M Menictas, MP Wand
Australian & New Zealand Journal of Statistics 57 (1), 119-138, 2015
Streamlined computing for variational inference with higher level random effects
TH Nolan, M Menictas, MP Wand
Journal of Machine Learning Research 21, 1-62, 2020
Artificial intelligence decision-making in mobile health
M Menictas, M Rabbi, P Klasnja, S Murphy
The Biochemist 41 (5), 20-24, 2019
Optimal location of tsunami warning buoys and sea level monitoring stations in the mediterranean sea
L Groen, A Joseph, E Black, M Menictas, W Tam, M Gabor
Science of Tsunami Hazards, 2010
Streamlined variational inference for linear mixed models with crossed random effects
M Menictas, G Di Credico, MP Wand
arXiv preprint arXiv:1910.01799, 2019
Streamlined variational inference for higher level group-specific curve models
M Menictas, TH Nolan, DG Simpson, MP Wand
Statistical Modelling, 1471082X20930894, 2020
Developments in Mobile Health Just-in-Time Adaptive Interventions for Addiction Science
SM Carpenter, M Menictas, I Nahum-Shani, DW Wetter, SA Murphy
Current Addiction Reports, 1-11, 2020
Variational inference for heteroscedastic and longitudinal regression models
M Menictas
Fast Physical Activity Suggestions: Efficient Hyperparameter Learning in Mobile Health
M Menictas, S Tomkins, S Murphy
arXiv preprint arXiv:2012.11646, 2020
Streamlined Empirical Bayes Fitting of Linear Mixed Models in Mobile Health
M Menictas, S Tomkins, SA Murphy
arXiv preprint arXiv:2003.12881, 2020
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