Let and, respectively, denote the optimal solutions of the objective function from the expectation model and the new hybrid model, while and denote the violation degrees against all constraints of the expectation model and the hybrid model, respectively.
Through comparative analysis of deterministic optimization, stochastic optimization and fuzzy stochastic optimization of day-ahead scheduling and real-time adjustment, the validity of fuzzy stochastic optimization based on a fuzzy stochastic expectation model is proved.
Using a combination of perceptual expectation modeling [13 15], information theory [16, 17], and Bayesian classifiers, we show that dynamic facial expressions of emotion transmit an evolving hierarchy of "biologically basic to socially specific" information over time.
For each pre-mRNA component, the abundance of strong local SS (< -25 kcal/mol) was a factor of two to ten greater than a random expectation model.
The sum of squared deviations (SSD) and raggedness index (RAG) were used to test the goodness-of-fit of the observation mismatch distribution to the expectation model.
"The rational expectations models will be tweaked to account for the current crisis.
A big reason that rational-expectations models proved so alluring to economists was their tractability: with some clever math and a computer, they could be "solved out" to generate explicit solutions for important economic variables, such as unemployment and inflation.
Professor Hansen has developed a procedure, called the "generalized method of moments," for testing rational-expectations models — models that encompass the efficient-markets model — and his method has led to the statistical rejection of many more of them.
This paper studies identification in linear rational expectations models with news shocks.
We provide the first head-to-head test of rival explanations of these behavioral patterns by developing refutable hypotheses for the strategic behavior, yea-saying, anchoring, and cost-expectations models.
We consider a broad class of linear dynamic stochastic rational-expectations models made of a finite number N of structural equations for N+1 endogenous variables and to be closed by one policy feedback rule.
