Philip D. Meyer

TL;DR: Why KIC is the only criterion accounting validly for the likelihood of prior parameter estimates, elucidate the unique role that the Fisher information matrix plays in KIC, and demonstrate through an example that it imbues KIC with desirable model selection properties not shared by AIC, AICc, or BIC.

TL;DR: In this article, a maximum likelihood version (MLBMA) of BMA is applied to seven alternative variogram models of log air permeability data from single-hole pneumatic injection tests in six boreholes at the Apache Leap Research Site (ALRS) in central Arizona.

TL;DR: Ye et al. as discussed by the authors explored the feasibility of quantifying prior model probabilities by maximizing Shannon's entropy subject to constraints reflecting a single analyst's prior perception about how plausible each alternative model (or a group of models) is relative to others, and selecting a posteriori the most likely among such maxima corresponding to alternative prior perceptions of various analysts or groups of analysts.

TL;DR: Diffusion coefficients and diffusive resistances measured in a number of saturated and unsaturated granular porous media, for solutes in dilute aqueous solutions, agree well with the predictions of the IAR model.

TL;DR: In this paper, a flux-based method of estimating field capacity is discussed and the differences between this method and the more common pressure-based methods are illustrated and the observed differences in field capacity resulting from the negligible flux range considered produce significant differences in the available water capacity.