[1] A quantitative model comparison methodology based on deviance information criterion, a Bayesian measure of the trade-off between model complexity and goodness of fit, is developed and demonstrated by comparing semiempirical transpiration models. This methodology accounts for parameter and prediction uncertainties associated with such models and facilitates objective selection of the simples...

In structural equation modeling (SEM), a covariance parameter is derived by minimizing the discrepancy between a sample covariance matrix and a covariance matrix having a specified structure. When a sample covariance matrix is a near singular matrix, Yuan and Chan (2008) proposed the use of an adjusted sample covariance matrix instead of the sample covariance matrix in the discrepancy function ...

In Markov-switching regression models, we use Kullback–Leibler (KL) divergence between the true and candidate models to select the number of states and variables simultaneously. Specifically, we derive a new information criterion, Markov switching criterion (MSC), which is an estimate of KL divergence. MSC imposes an appropriate penalty to mitigate the overretention of states in the Markov chai...

The deviance information criterion (DIC) has been widely used for Bayesian model comparison. However, recent studies have cautioned against the use of the DIC for comparing latent variable models. In particular, the DIC calculated using the conditional likelihood (obtained by conditioning on the latent variables) is found to be inappropriate, whereas the DIC computed using the integrated likeli...

Abstract The beta distribution is a versatile function that accommodates a broad range of probability distribution shapes. Beta regression based on the beta distribution can be used to model a response variable y that takes values in open unit interval (0, 1). Zero/one inflated beta (ZOIB) regression models can be applied when y takes values from closed unit interval [0, 1]. The ZOIB model is b...

Automated image restoration in microscopy, especially in Differential Interference Contrast (DIC) imaging modality, has attracted increasing attention since it greatly facilitates living cell analysis. Previous work is able to restore the nuclei of living cells, but it is very challenging to reconstruct the unnoticeable cytoplasm details in DIC images. In this paper, we propose to extract the t...

Submitted for the MAR11 Meeting of The American Physical Society Boundary properties between monolayer and bilayer graphene and valley filter TAKESHI NAKANISHI, AIST, MIKITO KOSHINO, Tohoku Univ., TSUNEYA ANDO, Tokyo Inst. Tech. — Graphene consists of a twodimensional hexagonal crystal of carbon atoms, in which electron dynamics is governed by the Dirac equation. The purpose of this paper is to...

We expand upon a previous proposal by Bloom and Wynn (1997) that young children learn about the meaning of number words by tracking their occurrence in particular syntactic environments, in combination with the discourse context in which they are used. An analysis of the Childes database (MacWhinney, 2000) reveals that the environments studied by Bloom and Wynn (specifically, the partitive fram...

The combination of digital image correlation (DIC) and new high and ultra-high speed digital imaging systems has yielded an extremely powerful tool for measuring the full-field results of explosively driven events. However, limitations in the hardware and the inherent difficulty of synchronizing camera clocks beyond a megahertz have raised questions about possible errors in the DIC results due ...