… This chapter reviews the literature related to finite mixture models designed specifically for
… aim of this section is to describe some models for multivariate count data, explain how finite …

… endogenous switching mixture models deal mainly with continuous or binary outcomes.
Models with ordinal or count … In mixture models, the likelihood function may have multiple local …

… It suggests that the unobserved error terms follow a mixture distribution of multiple normal …
In this section, we estimate a normal mixture model using simulated data and examine …

… In the second stage, the estimator of gregariousness is included in the count data model as
a supplementary explanatory variable.I find that the network is endogenous and that ignoring …

… handle binary endogenous regressors and count endogenous … SORE models the multivariate
distribution of endogenous … samples collected via endogenous selective sampling, which …

… Intrinsic timescales characterize dynamics of endogenous fluctuations … Our results suggest
that multiple timescales may arise from … The shape of spike-count autocorrelations in our data …

… In addition to these endogenous changes in E:I balance, … constant multisensory input, selective
attention entails a … To this end, we inverted linear mixed models to either include auditory …

… area individually by fitting a Hidden Markov Model (HMM) to the spike counts (10-ms bins) of
… by spatially selective attention are general features across multiple regions along the visuo-…

… This article provides a selective review of the recent literature … that the counts of possible
subgraphs are a mixture of both … is not constant and is possibly endogenous to the economic …

… a finite mixture model and a two-part model. Given the nature of the endogenous variable
(count … -up questionnaire we decided not to use multiple imputation and instead carried out the …