This paper gives algorithms for the design of optimal experiments involving Bernoulli populations in which allocation is done in stages. It is assumed that the outcomes of the previous stage areâ€¦ (More)

For parallel computers, the execution time of communication routines is an important determinate of usersâ€™ performance. For one parallel computer, the IBM SP2, all of the higher-level communicationsâ€¦ (More)

Several allocation rules are examined for the problem of optimizing a response function for a set of Bernoulli populations, where the population means are assumed to have a strict unimodal structure.â€¦ (More)

The problem of allocating patients in a two treatment clinical trial with dichotomous response is considered. The trial goal is to determine the better treatment while incurring as few patient lossesâ€¦ (More)

We describe a collection of algorithms and techniques that have been developed to aid in the design and analysis of adaptive allocation procedures. The emphasis is on providing flexibility to theâ€¦ (More)

A program for optimizing and analyzing sequential allocation problems involving three Bernoulli populations and a general objective function is described. Previous researchers had considered thisâ€¦ (More)

Suppose we wish to estimate the mean of some polynomial function of random variables from two independent Bernoulli populations, the parameters of which, themselves, are modeled as independent betaâ€¦ (More)

Path induction is a technique used to speed the process of making multiple exact evaluations of a sequential allocation procedure, where the options are discrete and their outcomes follow a discreteâ€¦ (More)

We present a scalable, high-performance solution to multidimensional recurrences that arise in adaptive statistical designs. Adaptive designs are an important class of learning algorithms for aâ€¦ (More)

Suppose we wish to estimate the product of the means of two independent populations of Bernoulli random variables , the parameters of which, themselves, are modeled as independent beta randomâ€¦ (More)