the performance of different yield loss models from an exponential family was evaluated in safflower-redroot pigweed systems in two field experiments conducted during 2007 and 2008 growing seasons at the research field of agricultural college of shiraz university, iran. the yield loss of safflower was recorded as relative yield loss in experimental plots laid out in split plot design with three...

Variational KL (varKL) divergence minimization was previously applied to restructuring acoustic models (AMs) using Gaussian mixture models by reducing their size while preserving their accuracy. In this paper, we derive a related varKL for exponential family mixture models (EMMs) and test its accuracy using the weighted local maximum likelihood agglomerative clustering technique. Minimizing var...

The seminal papers by Nelder and Wedderburn (Generalized Linear Models, JRSS A 1972) and Cox (Regression models and life tables, JRSS B 1972) both rely on the assumption that conditionally on covariate information (including time) the observations are independent. The difficulty in identifying and measuring all relevant covariates has pushed for methods that can handle both mean and covariance ...

Random graphs, where the connections between nodes are considered random variables, have wide applicability in the social sciences. Exponential-family Random Graph Models (ERGM) have shown themselves to be a useful class of models for representing complex social phenomena. We generalize ERGM by also modeling nodal attributes as random variates, thus creating a random model of the full network, ...