Sentence examples for model with conditional from inspiring English sources
The key capacity of a CW model with conditional pdf is given by.
Specifically, based on the empirical likelihood method, we consider the parameter estimation problem for Poisson autoregressive model with conditional moment restrictions.
The macro-level Bayesian spatial model with conditional autoregressive prior and the micro-level Bayesian spatial joint model were developed and empirically evaluated, respectively.
Using the maximum likelihood procedure (see, e.g., Ogata, 1998), fit the model with conditional intensity function (12 to the earthquake data, where κ, g, and f are defined in Eq. (4) to Eq. (6), and ν is the relaxing coefficient, which is introduced in order to fasten the convergency speed of this algorithm.
Using the standard interpretation for a model with conditional exponential mean, the number of visits for patients in the active age who received care in a private hospital exceeded that of those in the inactive age who received care in the public hospital by 0.127*exp(x'β) = 0.127*1.6966 = 0.22 visits.
By creating a new mouse model with conditional gene deletion of Lkb1in the epithelium of the small intestine we have shown that Lkb1 is necessary for normal intestinal cell differentiation and maturation.
The stochastic variations of track occupancy times due to the fluctuations of train speed in case of different signal aspects are modelled with conditional probability distributions.
Mouse models with conditional knockout of the DNA methyltransferase 1 (DNMT1) and DNA methyltransferase 3A (DNMT3A) genes have revealed a role of DNA methylation in mediating the self-renewal and differentiation of normal hematopoietic stem cells (HSCs) and the leukemia stem cells (LSCs).
Latent class models with conditional independence can be equivalently formulated using a loglinear framework [ 11, 12].
General linear models with conditional inclusion of candidate variables were used to unravel multivariate relationships.
In addition to loglinear models, latent class models with conditional dependence have been extensively studied and widely used in other domains.
