A generative penalized likelihood model jointly captures quantitative-qualitative responses and predictors to achieve accurate classification, prediction, and asymptotic optimality.
Materials design and discovery with high-throughput density functional theory: the open quantum materials database (OQMD)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2021 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Generative Approach to Joint Modeling of Quantitative and Qualitative Responses
A generative penalized likelihood model jointly captures quantitative-qualitative responses and predictors to achieve accurate classification, prediction, and asymptotic optimality.