Latent Dirichlet Allocation is a generative topic model for text. In this report, we implement collapsed Gibbs sampling to learn the topic model. We test our implementation on two data sets: classic400 and Psychological Abstract Review. We also discuss the different evaluation of goodness-of-fit of the models how parameter settings interact with the goodness-of-fit.

For goodness-of-fit tests for a model (distribution) admitting nuisance location or scale parameters, second-order asymptotic distributional representations are exploited for some robust estimators that are asymptotically first-order equivalent; their difference then provides a goodness-of-fit test criterion, whose asymptotic properties are studied under the null hypothesis as well as under loc...

For centuries after his death in the late twelfth century, Simon of Tournai, a master theology Parisian schools, had reputation for being an unbeliever punished by God with stroke. This article gathers eight known medieval sources stroke and examines them from mythogenetic perspective to demonstrate how different authors writing purposes, genres, biases recast image as their own moral or polemi...

The Beauty-is-Good stereotype refers to the assumption that attractive people possess sociably desirable personalities and higher moral standards. The existence of this bias suggests that the neural mechanisms for judging facial attractiveness and moral goodness overlap, i.e., they are circumscribed to the same brain regions. The hypothesis of this overlap was investigated by Tsukiura and Cabez...

An increasingly important problem in the era of Big Data is fitting data to distributions. However, many stop at visually inspecting the fits or use the coefficient of determination as a measure of the goodness of fit. In general, goodness-of-fit measures do not allow us to tell which of several distributions fit the data best. Also, the likelihood of drawing the data from a distribution can be...

In this paper we address the problem of nding good viewpoints for three-dimensional straight-line graph drawings. We deene goodness in terms of preserving the relational structure of the graph, and develop two continuous measures of goodness. We develop Voronoi variants to nd the best viewpoints under these measures. We conclude by discussing future research and posing some open problems.

This study considers the goodness of fit test for a class of conditionally heteroscedastic location-scale time series models. For this task, we develop an entropy-type goodness of fit test based on residuals. To examine the asymptotic behavior of the test, we first investigate the asymptotic property of the residual empirical process and then derive the limiting null distribution of the entropy...

We consider the consistency of the Bayes factor in goodness of fit testing for a parametric family of densities against a nonparametric alternative. Sufficient conditions for consistency of the Bayes factor are determined and demonstrated with priors using certain mixtures of triangular densities. Running headline: Bayesian Goodness of Fit Testing

Listener bias is a well-documented phenomenon in linguistics and sociolinguistics research. Listeners have demonstrated bias in assigning personality traits such as intelligence, selfconfidence and likeability to speakers from different language backgrounds (Delamere, 1996). A study by Derwing and Munro (1997), demonstrated that intelligibility scores assigned to nonnative speech were better wh...