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  • Bayesian Econometrics and Forecasting 
    Geweke John (Elsevier Science Publishers B.V., 2001)
    Abstract: Contemporary Bayesian forecasting methods draw on foundations in subjective probability and preferences laid down in the mid-twentieth century, and utilize numerical methods developed since that time in their ...
  • Bayesian estimation of a random effects heteroscedastic probit model 
    Gu Yuanyuan; Fiebig Denzil; Cripps E; Kohn Robert (Wiley-Blackwell Publishing Ltd., 2009)
    Bayesian analysis is given of a random effects binary probit model that allows for heteroscedasticity. Real and simulated examples illustrate the approach and show that ignoring heteroscedasticity when it exists may lead ...
  • Bayesian Estimation of State-Space Models Using Metropolis-Hastings Algorithm with Gibbs Sampling 
    Geweke John; Tanizaki Hisashi (Elsevier, 2001)
    Abstract: In this paper, an attempt is made to show a general solution to nonlinear and/or non-Gaussian state-space modeling in a Bayesian framework, which corresponds to an extension of Carlin et al. (J. Amer. Statist. ...
  • Bayesian forecasting 
    Geweke John; Whiteman C. (Elsevier, 2006)
    Bayesian forecasting is a natural product of a Bayesian approach to inference. The Bayesian approach in general requires explicit formulation of a model, and conditioning on known quantities, in order to draw inferences ...
  • Bayesian fusion algorithm for inferring trust in wireless sensor networks 
    Momani Mohammad; Challa Subhash; Alhmouz R (Academy Publisher, 2010)
    This paper introduces a new Bayesian fusion algorithm to combine more than one trust component (data trust and communication trust) to infer the overall trust between nodes. This research work proposes that one trust ...
  • A Bayesian hierarchical model for photometric red shifts 
    Hurn M; Green Peter; Al-Awadhi F (Blackwell Publishing, 2008)
    The Sloan digital sky survey is an extremely large astronomical survey that is conducted with the intention of mapping more than a quarter of the sky. Among the data that it is generating are spectroscopic and photometric ...
  • Bayesian inference and posterior simulators 
    Geweke John (Blackwell Publishing, 2001)
    Abstract: Recent advances in simulation methods have made possible the systematic application of Bayesian methods to support decision making with econometric models. This paper outlines the key elements of Bayesian ...
  • Bayesian Inference for Hospital Quality in a Selection Model 
    Geweke John; Gowrisankaran G.; Town R.J. (Blackwell Publishing, 2003)
    This paper develops new econometric methods to infer hospital quality in a model with discrete dependent variables and nonrandom selection. Mortality rates in patient discharge records are widely used to infer hospital ...
  • Bayesian inference of nanoparticles-broadened X-ray line profiles 
    Bonevich, J. E.; Armstrong, N. G.; Cline, J. P.; Kalceff, W. (US Government Printing Office, 2004)
    A single-step, self-contained method for determining the crystallite-size distribution and shape from experimental x-ray line profile data is presented. It is shown that the crystallite-size distribution can be determined ...
  • Bayesian inference on time-varying proportions 
    Mccausland William; Lgui Brahim (Emerald, 2009)
    Time-varying proportions arise frequently in economics. Market shares show the relative importance of firms in a market. Labor economists divide populations into different labor market segments. Expenditure shares describe ...
  • Bayesian Inversion Method and Its Information Determination for the Estimation of Particle Size Distribution in Ferrofluids 
    Lei Gang; Shao Ke; Li Yabin; Yang Guangyuan; Guo Youguang; Zhu Jianguo; Lavers J (IEEE, 2009)
    Using Gaussian numerical integration formula, the problem of estimating the particle size distribution (PSD) in ferrofluids can be converted into an electromagnetic inverse problem. Then we present two Bayesian analytical ...
  • A Bayesian/Maximum Entropy Method for Certification of a NanocrystallineSize NIST Reference Material 
    Kalceff Walter; Cline James; Armstrong Nicholas; Bonevich John (Springer Verlag, 2004)
  • Bayesian methods for modelling and management of trust in wireless sensor networks. 
    Momani, Mohammad. (2008)
    Security and trust are two interdependent concepts and are often used interchangeably when defining a secure wireless sensor network (WSN) system. However, security is different from trust in that, it assumes no node is ...
  • A Bayesian model averaging approach to enhance value investment 
    Bird Ronald; Gerlach Richard (Feng Chia University, 2006)
    Simple financial ratios such as book-to-market are often used to identify value stocks. This paper examines the extent to which fundamental accounting information can be used to better identify truly undervalued value ...
  • Bayesian model-based clustering procedures 
    Lau Jw; Green Peter (Amer Statistical Assoc, 2006)
    This paper establishes a general framework for Bayesian model-based clustering, in which subset labels are exchangeable, and items are also exchangeable, possibly up to covariate e®ects. It is rich enough to encompass a ...
  • Bayesian model comparison and validation 
    Geweke John (American Economic Association, 2007)
    Bayesian econometrics provides a tidy theory and practical methods of comparing and combining several alternative, completely specified models for a common data set. It is always possible that none of the specified models ...
  • Bayesian Network based Cost Benefit Factor Inference in Eservices 
    Zhang Guangquan; Bai Chenggang; Lu Jie; Zhang Chengqi (Macquarie Scientific Publishing, 2004)
    This paper applies Bayesian network tecbnique to model and inference tbe uncertain relationsbips among cost factors and benefit factors in E-services. A cost-benefit factor-relation modelproposed in our previous study ...
  • Bayesian Neural Network Classification of Head Movement Direction Using Various Advanced Optimisation Training Algorithms 
    Nguyen Hung; Nguyen Thanh Son; Taylor Philip (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    Head movement is one of the most effective hands-free control modes for powered wheelchairs. It provides the necessary mobility assistance to severely disabled people and can be used to replace the joystick directly. ...
  • Bayesian Recursive Algorithm for Width Estimation of Freespace for a Power Wheelchair using Stereoscopic Cameras 
    Nguyen Hai; Nguyen Jordan; Nguyen Hung (IEEE, 2008)
    This paper is concerned with the estimation of freespace based on a Bayesian recursive (BR) algorithm for an autonomous wheelchair using stereoscopic cameras by severely disabled people. A stereo disparity map processed ...
  • Bayesian refinement of protein functional site matching 
    Mardia Kanti; Nyirongo Vysaul; Green Peter; Gold Nicola; Westhead David (Biomed Central Ltd, 2007)
    Background: Matching functional sites is a key problem for the understanding of protein function and evolution. The commonly used graph theoretic approach, and other related approaches, require adjustment of a matching ...