Results 271 to 280 of about 7,662,414 (297)
Some of the next articles are maybe not open access.
Bayesian Hierarchical Models for Subgroup Analysis
Pharmaceutical StatisticsABSTRACT In conventional subgroup analyses, subgroup treatment effects are estimated using data from each subgroup separately without considering data from other subgroups in the same study. The subgroup treatment effects estimated this way may be heterogenous with high variability due to small sample sizes in some subgroups and much ...
Yun Wang +9 more
openaire +2 more sources
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Wentao Fan, Nizar Bouguila, Yang Lin
exaly
Wentao Fan, Nizar Bouguila, Yang Lin
exaly
Bayesian Network Structure Inference with an Hierarchical Bayesian Model
2010Bayesian Networks (BNs) are applied to a wide range of applications. In the past few years great interest is dedicated to the problem of inferring the structure of BNs solely from the data. In this work we explore a probabilistic method which enables the inclusion of extra knowledge in the inference of BNs.
openaire +1 more source
Hierarchical Bayesian Approach for Model Parameter Updating in Piezoelectric Energy Harvesters
Mechanical Systems and Signal Processing, 2022Gaofeng Jia, Rafael Ruiz
exaly
Bayesian Hierarchical Modelling for Antimicrobial Resistance
2022Maya Zhelyazkova +6 more
openaire +1 more source