Abstract In finite population causal inference exact randomization tests can be constructed for sharp null hypotheses, hypotheses which impute the missing potential outcomes. Oftentimes is instead desired weak that sample average of treatment effects takes on a particular value while leaving subject-specific unspecified. Tests valid anti-conservative should only hold. We develop general framewo...

Population protocols have been introduced as a model of sensor networks consisting of very limited mobile agents with no control over their own movement. A population protocol corresponds to a collection of anonymous agents, modeled by finite automata, that interact with one another to carry out computations, by updating their states, using some rules. Their computational power has been investi...

A population density description of large populations of neurons has generated considerable interest recently. The evolution in time of the population density is determined by a partial differential equation (PDE). Most of the algorithms proposed to solve this PDE have used finite difference schemes. Here, I use the method of characteristics to reduce the PDE to a set of ordinary differential e...

This report deals with two questions concerning the emergence of cooperative strategies in repeated games. The first part is concerned with the Perfect Folk Theorem and presents a vast class of equilibrium solutions based on Markovian strategies. Simple strategies, called equalizers, are introduced and discussed: if players adopt such strategies, the same payoff results for every opponent. The ...

Many classical methods in finite population sampling have been developed to incorporate some fairly standard types of prior information about the population. When the prior information does not fall in the standard categories it can be difficult to find procedures which reflect the information and have good frequentist properties. Recently methods based on the empirical likelihood were consider...