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Use of models in the context of design-based inference through model-assisted estimation.
Use of models in the context of model-based inference through model-based estimation.
We develop a MCMC sampling algorithm for approximate inference through iteratively generating samples of parameters Θ and hyperparameters Φ according to the posterior distribution.
On four scales, we detail descriptive data and statistical inference through a quasi-experimental design using a Wilcoxon test and a sign test.
Our review is separated into the following cases: Use of models in the context of design-based inference through model-assisted estimation Use of models in the context of model-based inference through model-based estimation Use of models in the context of hybrid inference.
As a key component of building management and security, occupancy inference through smart sensing has attracted a lot of research attention for nearly two decades.
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Its presence looms, but as much through inference as through description, a ghost of a memory - or perhaps the memory of a ghost.
In order to reason for pattern or significant information underlying the graph, test takers tried to making inferences through drawing upon their personal interpretation and prior knowledge.
The final paper (Rutkowski and Delandshere, this issue) balances the empirical offerings by taking a critical perspective on drawing causal inferences through the lens of a validity framework.
Historical ranking and mechanistic descriptions of individual-year seedbed conditions may allow for expanded inferences through meta-analysis of limited-term field experiments.
Leveraging this consistent framework, we introduce OntoSearch, a powerful functionality that seamlessly enables retrieval of morphological data based on expert knowledge and logical inferences through an intuitive string-based user interface with auto-complete capability.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com