Using linguistic trees as models of population history in combination with ethnographic data on kinship, the authors of the present study reconstruct post-marital residence rules of early Austronesian societies. Analyses include a Markov-chain Monte Carlo comparative method implemented in a Bayesian phylogenetic framework.

Using Maximum Likelihood and Bayesian phylogenetic comparative methods, this study aims to answer how cultural meanings and linguistic forms develop in kinship terminology focusing on sibling terminology. It tests sequential models of change of sibling terminologies among the Austronesian language family to reconstruct: the historical state and evolutionary change of relative age and relative sex; whether these distinctions have independent or dependent evolutionary trajectories; and whether opposite-sex distinctions might have developed when no such distinction previously existed. The results suggest that the trajectories are independent and that there was an initial absence of relative sex distinction. Other findings are that the transitions from absence to complex elaborated terminologies and the disruption of elaborate distinctions are very unusual.

Previous research has found that words are replaced faster in language vocabularies the less the word is used, whereas words that are used more frequently endure longer. Drawing from this theory, the authors of this article propose two questions: 1) Is the rate of replacement for Indo-European kinship terms correlated with their usage frequency? 2) How does this relationship differ between kinship terms and core vocabulary? Using phylogenetic comparative methods to analyze 10 kinship categories from 47 Indo-European languages, the authors find that more frequently used kinship terms tend to be replaced at a much slower rate than less frequently used words. Furthermore, this relationship between word replacement rate and usage frequency is stronger for kinship terms than it is for core vocabulary terms.

Using a sample of 80 Austronesian societies from the Ethnographic Atlas, the study applies phylogenetic comparative methods to explore the transmission of cultural traits. The authors follow the research question: "for each possible cultural trait in each society, does the geographical (GNN) or phylogenetic nearest neighbor (PNN) best predict the state of the cultural trait?". Cultural traits in the realms of social organization, kinship, marriage, and subsistence were examined. The results show that PNN predicted slightly more traits in comparison to GNN, but there was not much variation between the different economic and social traits. In addition, 43-48% of traits were not predicted by GNN or PNN.

What explains global variation in sex ratio at birth? To address this question, the authors present the results of their previous research on sex ratio at birth (2003), and additionally introduce new research on the correlations between sex ratio and marriage costs, such as a dowry or brideprice. Using a phylogenetic approach, the authors find that there is no correlation between sex ratio at birth and marriage payments. Analysis is restricted to the Old World.

Aiming to better understand human demographic and dispersal history, the study uses Bayesian phylogenetic comparative methods to trace post-marital residence and cultural changes among 27 Indo-European and 135 Austronesian languages. They suggest that changes from uxorilocality to other types of residences (neolocality and virolocality) are more common than the inverse transitions. The results are generally supported with one exception: Austronesian societies have a higher rate of transition from neolocality to uxorilocality (1.5) than the other way around (0.9). Other relevant findings are that proto-Indo-European societies tend to follow virilocality, while proto-Malayo-Polynesian uxorilocality. There is a commonality for both language families to present instability of uxorilocality and unusual loss of uxorilocality.

Using phylogenetic comparative methods, the study explores the evolution of kinship terminologies within 176 societies in Austronesian, Bantu, and Uto-Aztecan language families. The authors consider 18 theories in the anthropological record that suggests that change in kinship terminologies is predicted by some social structures: marriage, residence, and descent. Only 19 of the 29 statistical hypotheses are supported, while none of the theories are supported in all three language families. This statistical irregularity means that the results are lineage-specific, instead of showing a universal driver of change in kinship terminology types.

Kinbank is a global database of 210,903 kinship terms derived from 1,229 spoken and signed languages. The authors created Kinbank as a tool to help explain recurring patterns across cultures through kinship terminology. They illustrate its usefulness by addressing two questions as an example: 1) Is there gender bias in the phonological structure of parent terms? and 2) Did bifurcate-merging terminology and cross-cousin marriage co-evolve in Bantu languages? Using a Bayesian phylogenetic approach, the authors find support for the first question, but none for the latter.

Researchers examined kinships terminology systems for explanations regarding specifically observed typology of kin terms for cousins cross-culturally. They explore two theories, the first relating to population size via bottleneck evolution, and the second relating to social practices that shape kinship systems. Using the Ethnographic Atlas within D-PLACE, 936 societies with kinship system information were studied. The findings did not suggest a relationship between increased community size and a decrease in kinship complexity, however the research does suggest a relationship between practices of marriage and descent and kinship complexity.

In this paper, the authors utilize phylogenetic methods to reconstruct the evolution of land tenure norms among 97 Austronesian societies. They coded these norms for each society as none (N), group (G), group-kin (K), and individual (I). After formulating various models of evolution through these various stages, they used Bayesian analysis to determine support for each. They conclude with remarks about this type of evolutionary phylogenetic research as a form of "virtual archeology."