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Showing 1 to 6 of 6 for “"Uniform prior"”.

  1. A pseudo-Bayesian model-based approach for noninvasive intracranial pressure estimation

    … The likelihoods are combined with a imulti-modal prior distribution of the ICP to yield an a posteriori distribution whose mode is taken as the final ICP estimate. An extension to this method is proposed to harness the temporal evolution of past ICP estimates for reducing dependence on the …

    mit Repository record for A pseudo-Bayesian model-based approach for noninvasive intracranial pressure estimation (opens in a new tab)

  2. Barometer-Based Tactile Sensing: Characterization, Processing, and Applications for Dynamic Manipulation

    … for low-force interactions, building upon prior work from the Biomimetic Robotics Lab. Previous work demonstrated that neural networks could infer contact location and three-axis contact force from barometers embedded within an elastomer. However, these models did not account for the …

    mit Repository record for Barometer-Based Tactile Sensing: Characterization, Processing, and Applications for Dynamic Manipulation (opens in a new tab)

  3. Bayesian Model Uncertainty and Prior Choice with Applications to Genetic Association Studies

    … literature has focused on defining these prior distributions in an objective manner, providing conditions under which Bayes factors lead to the correct model selection, particularly in the situation where the number of variables, <italic>p</italic>, increases with the sample size, …

    duke Repository record for Bayesian Model Uncertainty and Prior Choice with Applications to Genetic Association Studies (opens in a new tab)

  4. Accurate charge densities of amino acids and peptides by the Maximum Entropy Method

    … extensions to the MEM such as the use of a non-uniform prior-density, the employment of the method of prior-derived F-constraint, static weighting and the choice of the optimal stopping criterion for the MEM iterations. The latter is achieved by inspection of difference Fourier maps and dynamic …

    bayreuth Repository record for Accurate charge densities of amino acids and peptides by the Maximum Entropy Method (opens in a new tab)

  5. Empirical statistical modelling for crop yields predictions: bayesian and uncertainty approaches

    … Monte Carlo (MCMC), Bayesian estimation (with uniform prior) and maximum likelihood estimation (MLE) method. The results obtained from the three procedures yielded similar mean estimates, but the credible intervals were found to be narrower in Bayesian estimates than confidence intervals in MLE …

    cape-town Repository record for Empirical statistical modelling for crop yields predictions: bayesian and uncertainty approaches (opens in a new tab)

  6. Inference for the ratio of two exponential parameters using a Bayesian approach

    In this dissertation the maximal data information prior and the probability matching prior for the ratio of two exponential parameters will be derived. The method by Datta and Ghosh (1995) will be used to derive the probability matching prior and the method proposed by Zellner (1971) will be used …

    nwu-za Repository record for Inference for the ratio of two exponential parameters using a Bayesian approach (opens in a new tab)