180 citations · 358 across the 8 of their papers we have counts for
9 papers
Statistical Distances and Their Role in Robustness
Marianthi Markatou, Yang Chen, Georgios Afendras +1
Statistical distances, divergences, and similar quantities have a large history and play a fundamental role in statistics, machine learning and associated scientific disciplines. H…
Composite likelihood inference in a discrete latent variable model for two-way "clustering-by-segmentation" problems
Francesco Bartolucci, Francesca Chiaromonte, Prabhani Kuruppumullage Don +1
We consider a discrete latent variable model for two-way data arrays, which allows one to simultaneously produce clusters along one of the data dimensions (e.g. exchangeable observ…
Model Assessment Tools for a Model False World
Bruce Lindsay, Jiawei Liu
A standard goal of model evaluation and selection is to find a model that approximates the truth well while at the same time is as parsimonious as possible. In this paper we emphas…
Building and using semiparametric tolerance regions for parametric multinomial models
Jiawei Liu, Bruce G. Lindsay
We introduce a semiparametric ``tubular neighborhood'' of a parametric model in the multinomial setting. It consists of all multinomial distributions lying in a distance-based neig…
Quadratic distances on probabilities: A unified foundation
Bruce G. Lindsay, Marianthi Markatou, Surajit Ray +2
This work builds a unified framework for the study of quadratic form distance measures as they are used in assessing the goodness of fit of models. Many important procedures have t…
Estimating the number of classes
Chang Xuan Mao, Bruce G. Lindsay
Estimating the unknown number of classes in a population has numerous important applications. In a Poisson mixture model, the problem is reduced to estimating the odds that a class…