Results 281 to 290 of about 249,692 (322)

Rethinking network embeddedness in international business: A review and view in space and time

open access: yesInternational Journal of Management Reviews, EarlyView.
Abstract Conceptual and empirical contributions to network embeddedness have flourished in the last decades within the field of international business (IB). Scholars have used the concept to explain IB phenomena through the lens of business actors’ network relationships and positions in their networks.
Giulia Galizzi   +2 more
wiley   +1 more source

Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels

open access: yesInternational Statistical Review, EarlyView.
Summary Bayesian mixture modelling is widely used for density estimation and clustering. The Dirichlet process mixture model (DPMM) is the most popular Bayesian non‐parametric mixture modelling approach. In this manuscript, we study the choice of prior for the variance or precision matrix when Gaussian kernels are adopted.
Wei Jing   +2 more
wiley   +1 more source

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