Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 4 of 4 for “"prior and likelihood"”.
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Reward and prediction errors in Bayesian sensorimotor control
… by signaling opportunity costs (tonic dopamine) and promote associative learning by encoding a reward prediction error signal (phasic dopamine). Recent studies on Bayesian sensorimotor control have implicated midbrain dopamine concentration in the integration of prior knowledge and current …
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The Bayesian-optimality of decision-making behavior: across tasks, time, and psychopathology.
… time. But on what basis are those decisions made and how optimal are they? This dissertation focuses on one theoretical approach to assess the optimality of decisions: Bayesian Decision Theory (BDT). BDT postulates that posterior estimation relies on two categories of information: knowledge gained …
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Mathematical Study on the Expressive Power of Machine Learning and Applications in Optimal Filtering Problems
… models as general function approximators and their practical applications in optimal filtering problems. The practical expressive power of these models depends on the choice of \textit{model structure} (deep or shallow), which sets the upper limit of expressive power, and the …
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Multiple testing in spatial epidemiology: a Bayesian approach
… for preliminary epidemiological studies on Standardized Mortality Ratios (SMR) collected in many spatial regions. A preliminary study on SMRs aims to formulate hypotheses to be investigated via individual epidemiological studies that avoid bias carried on by aggregated analyses. Starting from …