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Showing 1 to 8 of 8 for “"Hierarchical Bayes"”.

  1. HIERARCHICAL BAYES ESTIMATION AND EMPIRICAL BEST PREDICTION OF SMALL-AREA PROPORTIONS

    Liu, Benmei2009

    … a variety of model-dependent techniques, using Bayesian and frequentist approaches, have been developed. Among those, empirical best prediction (EBP) and hierarchical Bayes (HB) methods relying on mixed models have been considered for estimating small area proportions. Mixed models can be …

    maryland Repository record

  2. Modeling the Performance of a Baseball Player's Offensive Production

    Smith, Michael Ross2006

    … on performance using piecewise age curves. Using Hierarchical Bayes methodology with Gibbs sampling, we model each of these effects for each individual. The results of the Hierarchical Bayes model permit us to link players from different eras and to rank the players across the modern era of …

    byu Repository record

  3. Personalization of future urban mobility

    Song, Xiang, Ph. D. Massachusetts Institute of TechnologyMassachusetts Institute of Technology2018

    … mixture and the parameters are estimated with a hierarchical Bayes (HB) procedure. In this thesis, we first present an enhancement to HB procedure with alternative priors for covariance matrix estimation in order to improve the estimation performance. We also evaluate the benefits of …

    mit Repository record

  4. DECISION FRAMEWORKS AND SYNERGISM IN INVESTMENT MANAGER SELECTION

    Marshall, DavidTemple University. Libraries2025

    … the identified factors from interviews and use Hierarchical Bayes (HB) estimation to derive utility values and attribute importance scores. I find that several sub-factors, through theoretical saturation, define the parameters of the gatekeeper decision-making taxonomy, adding depth and meaning …

    temple Repository record

  5. Hierarchical Bayesian Spectro-temporal Models of Type Ia Supernovae in the Optical and Near-Infrared: Understanding the Properties of Dust in Supernova Host Galaxies

    Thorp, StephenUniversity of Cambridge2022

    … this thesis, I develop and deploy a robust new hierarchical Bayesian framework for modelling the spectral energy distributions (SEDs) of SNe Ia in the optical and near-infrared (NIR). I apply this framework to detailed studies of the dust in SN Ia host galaxies – particularly the distribution of …

    cambridge Repository record

  6. Hierarchical Bayesian Models for Investigating Astrophysical Systematics in Type Ia Supernova Cosmology

    Ward, SamUniversity of Cambridge2024

    … thesis, and discuss statistical methods such as hierarchical Bayesian modelling and Gaussian processes in Chapter 2, which are used extensively throughout. In the subsequent Chapters, I explore two distinct avenues for better understanding empirical SN-host correlations. The first involves the …

    cambridge Repository record

  7. An investigation of heterogeneous commuting mode choices through an Early Stopping Bayesian Data Assimilation approach

    Xie, ShanshanUniversity of Cambridge2023

    … This dissertation develops an Early Stopping Bayesian Data Assimilation (ESBDA) estimator which enables an established behaviour model to be well adapted to a new context characterised by significantly lower data samples. We carry out the development using the Mixed-Logit as the main behaviour …

    cambridge Repository record

  8. Predicting customer responses to direct marketing : a Bayesian approach

    CHEN, Wei

    lingnan Repository record