Abstract
<p>It is often difficult to tell whether a given typological frequency asymmetry is due to a linguistic preference, or a mere result of historical accidents. This paper applies autologistic regression analysis to linguistic typology, a common method to model geographically correlated data in geography and ecology. In an autologistic regression, neighbors' responses are used to predict the response at issue. This idea is tested on several phonological and word order universals using the World Atlas of Language Structures (WALS), including implicational universals.</p>
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