This paper reports the development of loglinear models for the disambiguation in wide-coverage HPSG parsing. The estimation of log-linear models requires high computational cost, especially with widecoverage grammars. Using techniques to reduce the estimation cost, we trained the models using 20 sections of Penn Treebank. A series of experiments empirically evaluated the estimation techniques, ...

An interaction table is a summable square matrix emerging in analysis of inter-citation, international trade, brand-switching, mobility, or input-output industrial data. Three approaches to aggregation of interaction data are theoretically compared: (i) loglinear modeling, (ii) aggregation of Markov chains, and (iii) principle of equivalence in the correspondence analysis. This way an empirical...

Overview: Categorical Data and Graphics Methods for discrete distributions – testing goodness of fit Hanging rootograms Robust distribution plots Methods for two-way frequency tables – understanding association Fourfold displays Sieve diagrams Mosaic displays and loglinear models for n-way tables Mosaic displays Mosaic matrices Correspondence analysis and MCA Logistic and logit regression Logit...

This article introduces Rcapture, an R package for capture-recapture experiments. The data for analysis consists of the frequencies of the observable capture histories over the t capture occasions of the experiment. A capture history is a vector of zeros and ones where one stands for a capture and zero for a miss. Rcapture can fit three types of models. With a closed population model, the goal ...

The usual chain ladder metlwd is a deterministic claims reserving method. In the last years. o stochastic loglineor approximation to the chain ladder method hav been u~rl by several authors especially in order to quantify the variability of the estimated claims reserves. Although the reserves estimated by both merAo& are clenrly diflerent. rk logknenrapproxi-mation has been called " chain ladde...

Transmission of the two parental alleles to offspring deviating from the Mendelian ratio is termed Transmission Ratio Distortion (TRD), occurs throughout gametic and embryonic development. TRD has been well-studied in animals, but remains largely unknown in humans. The Transmission Disequilibrium Test (TDT) was first proposed to test for association and linkage in case-trios (affected offspring...

This work looks at fitting probabilistic graphical models to data when the structure is not known. The main tool to do this is `1-regularization and the more general group `1-regularization. We describe limited-memory quasi-Newton methods to solve optimization problems with these types of regularizers, and we examine learning directed acyclic graphical models with `1-regularization, learning un...

Spatial regressions have been widely used, but their use with the permutation tests of residuals either in linear or loglinear models is rarely seen. In the present study, we have linked the Cliff-Ord permutation test of Moran’s I on linear regression errors to loglinear regression residuals under asymptotic normality. We devised both Pearson residual Moran’s IP R and deviance residual Moran’s ...