Evaluation of multilevel decision trees

The evaluation of decision trees under uncertainty is difficult because of the required nested operations of maximizing and averaging. Pure maximizing (for deterministic decision trees) or pure averaging (for probability trees) are both relatively simple because the maximum of a maximum is a maximum, and the average of an average is an average. But when the two operators are mixed, no simplification is possible, and one must evaluate the maximization and averaging operations in a nested fashion, following the structure of the tree. Nested evaluation requires large sample sizes (for data collection) or long computation times (for simulations).     

Inference about permutation parameter in large samples

The estimation problem of a permutation parameter on the basis of a random sample of increasing size is considered. A necessary and sufficient condition for the existence of an estimator, asymptotically fully efficient for two different distributions families, is derived. We also study the application of this result to cyclic groups of order two and three.     

A computational general equilibrium approach to the shadow pricing of trade restrictions and the adjustment of the exchange rate, with an application to Argentina

A general equilibrium model of an open economy in which there are ad valorem texes on domestic production and export activities, and import activities are subject to both tariffs and quotas is constructed. A domestic monetary asset, foreign exchange, and a corresponding nominal exchange rate are introduced and a numerical example of the model is constructed. The example is solved via the Scarf fixed point algorithm, first with taut quotas and then after having relaxed quotas. Various price indices are then used to guide programs designed to stabilize the trade balance against the quota liberalization. An empirical example, using Argentine data, is carried out to find the quota equivalent of a particular tariff.     

Autism: understanding conceptual processing deficits

Autism is a behavioral diagnosis characterized by a triad of impairment, which includes impaired communication, impaired social skills, and impaired spontaneity. The outward behavior exhibited by people with autism represents a different cognitive processing style than that seen in typical development. Understanding the way people with autism process and store information is important for intervention. The majority of people diagnosed with autism do not have symptoms of mental retardation and need access to mainstream services to work on the problems presented by daily life.