We examine individuals’ distributional orderings in a number of contexts. This is done by using a questionnaire-experiment that is presented to respondents in any one of seven “flavours” or interpretations of the basic distributional problem. The flavours include inequality, risk, social welfare and justice. The issue of personal involvement in the distributional comparison is explicitly addres...

Distributional similarity is a useful notion in estimating the probabilities of rare joint events. It has been employed both to cluster events according to their distributions, and to directly compute averages of estimates for distributional neighbors of a target event. Here, we examine the tradeoffs between model size and prediction accuracy for cluster-based and nearest neighbors distribution...

385 EIsevier Note Îï the distributional complexity of disjointness Abstract Razborov, À.À., Îï the distributional complexity of disjointness, Theoretical Computer ScienCe 106 (1992) 385-390. We prove that the distributional communication complexity of the predicate "disjointness" with respect to à very simple measure îï inputs is Ùï).

Stemming from distributed representation theories, we investigate the interaction between distributed structure and distributional meaning. We propose a pure distributed tree (DT) and distributional distributed tree (DDT). DTs and DDTs are exploited for defining distributed tree kernels (DTKs) and distributional distributed tree kernels (DDTKs). We compare DTKs and DDTKs in two tasks: approxima...

Starting from the distributional bootstrapping hypothesis, we propose an unsupervised model that selects the most useful distributional information according to its salience in the input, incorporating psycholinguistic evidence. With a supervised Parts-of-Speech tagging experiment, we provide preliminary results suggesting that the distributional contexts extracted by our model yield similar pe...

In this paper, we examine the distributional effects of tax evasion, using results from theoretical, experimental, empirical, and especially the general equilibrium literatures on tax evasion. Much – if not all – of this evidence concludes that the main beneficiaries of successful tax evasion are the tax evaders themselves, with distributional effects that largely favor higher income individual...

In this paper, we examine the distributional effects of tax evasion, using results from theoretical, experimental, empirical, and especially the general equilibrium literatures on tax evasion. Much – if not all – of this evidence concludes that the main beneficiaries of successful tax evasion are the tax evaders themselves, with distributional effects that largely favor higher income individual...

Distributional information is a potential cue for learning syntactic categories. Recent artificial grammar studies demonstrate sophisticated distributional learning by young infants. Here we investigate the possible mechanisms and representations underlying this ability. Does prosody constrain distributional analysis? What specific distributional relations do learners track? Twelve-month-old in...

Distributional models assume that the contexts of a linguistic unit (such as a word, a multi-word expression, a phrase, a sentence, etc.) provide information about the meaning of the linguistic unit (Firth, 1957; Harris, 1968). They have been widely applied in data-intensive lexical semantics (among other areas), and proven successful in diverse research issues, such as the representation and d...

This paper examines the effects of alternative distributional assumptions on aggregating across individuals with an identical utility function: so-called ”clones”. The standard representative agent paradigm is shown to be a special case, which is only satisfied under stringent distributional assumptions. Alternative, and more realistic distributional assumptions can produce vastly different est...