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        <identifier>oai:figshare.com:article/34036531</identifier>
        <datestamp>2026-09-30T17:52:23Z</datestamp>
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          <dc:title>&lt;p&gt;Posterior predictive checks for the primary inferential models.&lt;/p&gt;</dc:title>
          <dc:creator>Sergej A. E. Golowin (25145509)</dc:creator>
          <dc:creator>Niall W. Duncan (9177024)</dc:creator>
          <dc:creator>Faizan Shaikh (25145512)</dc:creator>
          <dc:creator>Christoph W. Korn (11657787)</dc:creator>
          <dc:subject>Neuroscience</dc:subject>
          <dc:subject>Evolutionary Biology</dc:subject>
          <dc:subject>Sociology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>without requiring assumptions</dc:subject>
          <dc:subject>enabled formal comparison</dc:subject>
          <dc:subject>choices showed evidence</dc:subject>
          <dc:subject>sequential foraging task</dc:subject>
          <dc:subject>integrated value signals</dc:subject>
          <dc:subject>approach &amp;# 8211</dc:subject>
          <dc:subject>g ., reward</dc:subject>
          <dc:subject>humans adjust decision</dc:subject>
          <dc:subject>avoidance &amp;# 8211</dc:subject>
          <dc:subject>threat probabilities ),</dc:subject>
          <dc:subject>higher reward probabilities</dc:subject>
          <dc:subject>optimal action values</dc:subject>
          <dc:subject>individual decision features</dc:subject>
          <dc:subject>higher predation risk</dc:subject>
          <dc:subject>predation risk</dc:subject>
          <dc:subject>action values</dc:subject>
          <dc:subject>value structure</dc:subject>
          <dc:subject>sequential decision</dc:subject>
          <dc:subject>optimal policy</dc:subject>
          <dc:subject>relevant features</dc:subject>
          <dc:subject>decision features</dc:subject>
          <dc:subject>reward probability</dc:subject>
          <dc:subject>probabilistic reward</dc:subject>
          <dc:subject>xlink "&gt;</dc:subject>
          <dc:subject>strongly reflected</dc:subject>
          <dc:subject>shared model</dc:subject>
          <dc:subject>remains unclear</dc:subject>
          <dc:subject>reduced reliance</dc:subject>
          <dc:subject>policies based</dc:subject>
          <dc:subject>parsimonious account</dc:subject>
          <dc:subject>optimization principles</dc:subject>
          <dc:subject>increased alignment</dc:subject>
          <dc:subject>immediate rewards</dc:subject>
          <dc:subject>future risks</dc:subject>
          <dc:subject>findings suggest</dc:subject>
          <dc:subject>feature policy</dc:subject>
          <dc:subject>enhanced integration</dc:subject>
          <dc:subject>creating contexts</dc:subject>
          <dc:subject>commonly framed</dc:subject>
          <dc:subject>avoidance contexts</dc:subject>
          <dc:description>&lt;p&gt;Posterior predictive distributions for &lt;b&gt;(A)&lt;/b&gt; the multi-feature policy model and &lt;b&gt;(B)&lt;/b&gt; the -value model. Left panels show predicted choice probabilities for observed forage and wait decisions across all trials. Right panels show the corresponding distributions of predicted probabilities conditional on the observed behavioral choice. Both models reproduced the overall structure of participant behavior, with observed forage decisions generally associated with higher predicted foraging probabilities and observed wait decisions associated with lower predicted foraging probabilities. The multi-feature policy model showed stronger probabilistic separation between observed choice categories, consistent with its superior predictive performance in PSIS-LOO model comparison.&lt;/p&gt; &lt;p&gt;(PDF)&lt;/p&gt;</dc:description>
          <dc:date>2026-09-30T18:00:31Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1371/journal.pcbi.1014793.s006</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/_p_Posterior_predictive_checks_for_the_primary_inferential_models_p_/34036531</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
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