… of the stick-breaking prior via sequential logistic regressions. This formulation maintains
the same desirable properties of popular predictor-dependent stick-breaking priors, and …

… stick-breaking construction via a continuation–ratio logistic regression, within an exponential
family representation. We study the theoretical properties, and leverage this result to derive …

… review multinomial logistic regression (MLR). We then use the stick-breaking construction
to … to transform binary logistic regression under stick breaking into multinomial regression. In …

… of the stick-breaking processes … process from the kernel stick-breaking processes (Reich
and Fuentes Citation2007; Fuentes and Reich Citation2013), the probit stick-breaking process (…

… the process, where the dependence over space is described in the definition of the stick-breaking …
In this work, we propose a Dirichlet process where the stick-breaking probabilities are …

… In this paper, we develop an area-specific stick breaking process for distributions of random
effects with the spatially-dependent weights arising from the block averaging of underlying …

… The ‘Markovian stick-breaking’ process is then represented … ] that such Markovian stick-breaking
processes connect to the … of the Markovian stick-breaking process in Theorem 4. Then, …

… In the general form of the stick-breaking construction (… intuition, we introduce the following
stick-breaking process: … We now establish that the Bernoulli stick-breaking process mixture …

Stick-breaking (SB) processes are often adopted in Bayesian mixture models for generating
mixing weights. When covariates influence the sizes of clusters, SB mixtures are particularly …

… of non-empty components in the stick-breaking representation, ie … stick-breaking prior
adopted here can be seen as a finite-dimensional version of the logistic stick-breaking process …