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As more complicated inference models, characterized by larger number of parameters, can be envisaged, the choice of the most appropriate approach for solving underdetermined problems deserves special attention in the future.
This will lead to more complicated inference algorithms.
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The resulting theory will need more complicated inconsistency and inference-licensing rules.
It is also convenient to represent more complicated cases, such as inferences derived from more than two premises.
Use of p-distance in an ME context is further supported in several studies which found that, unless sequence lengths are very great, the simple p-distance generally gives better results in phylogenetic inference than more complicated distance measures [ 31, 32].
These previous studies focused on more complicated learning problems in which the higher-level inferences made through hierarchical Bayesian inference concern very abstract forms of knowledge, although there have also been studies that used Bayesian methods to explain causal inference in perception [29].
In reality, the process of haplotype inference is of course more complicated than presented here – our simplified argument is designed to merely demonstrate in a quantitative way that by observing the co-occurrence of variant sites, more power can be achieved when calling low frequency haplotypes (and hence SNVs) than by considering variant sites independently.
It also encompasses an appreciation of more complicated emotions (e.g. sarcasm and humour) and higher order social inferences.
More complicated, complex, difficult.
Things have become more complicated.
Nothing more complicated than that".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com