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Showing 1 to 5 of 5 for “"Bayesian hypothesis testing"”.

  1. Modeling users' powertrain preferences

    … In this thesis, two different approaches, Bayesian hypothesis testing and inverse reinforcement learning, will be used to classify and estimate the user's preferences. Bayesian hypothesis testing classifies the driver as one of several driving types. Assuming that the probability …

    mit Repository record for Modeling users' powertrain preferences (opens in a new tab)

  2. DETECTION AND INFERENCE IN GRAVITATIONAL WAVE ASTRONOMY

    … and neutron star-black hole binaries. We use Bayesian inference to place upper limits on the rate of coalescence of these binaries. We use developments made in the PyCBC search pipeline during Advanced LIGO and Virgo’s second observing run to re-analyze Advanced LIGO’s first observing run and …

    syracuse-diss Repository record for DETECTION AND INFERENCE IN GRAVITATIONAL WAVE ASTRONOMY (opens in a new tab)

  3. Aggregation and influence in teams of imperfect decision makers

    Bayesian hypothesis testing inevitably requires prior probabilities of hypotheses. Motivated by human decision makers, this thesis studies how binary decision making is performed when the decision-making agents use imperfect prior probabilities. Three detection models with multiple agents are …

    mit Repository record for Aggregation and influence in teams of imperfect decision makers (opens in a new tab)

  4. Quantization of prior probabilities in Bayesian group decision-making

    In Bayesian hypothesis testing, a decision is made based on a prior probability distribution over the hypotheses, an observation with a known conditional distribution given the true hypothesis, and an assignment of costs to different types of errors. In a setting with multiple agents and the …

    mit Repository record for Quantization of prior probabilities in Bayesian group decision-making (opens in a new tab)

  5. Bayesian Adaptive Designs For Early Phase Clinical Trials

    <p>My dissertation focuses mainly on Bayesian adaptive designs for phase I and phase II clinical trials. It includes three specific topics: <strong>(1)</strong> proposing a novel two-dimensional dose-finding algorithm for biological agents, <strong>(2)</strong> developing Bayesian adaptive …

    uthsc Repository record for Bayesian Adaptive Designs For Early Phase Clinical Trials (opens in a new tab)