Results 31 to 40 of about 1,583,424 (275)
Second-order variational equations for spatial point processes with a view to pair correlation function estimation [PDF]
Second-order variational type equations for spatial point processes are established. In case of log linear parametric models for pair correlation functions, it is demonstrated that the variational equations can be applied to construct estimating ...
Coeurjolly, Jean-François +2 more
core +5 more sources
Question classification with log-linear models
Question classification has become a crucial step in modern question answering systems. Previous work has demonstrated the effectiveness of statistical machine learning approaches to this problem. This paper presents a new approach to building a question classifier using log-linear models.
Blunsom, P, Kocik, K, Curran, J
openaire +2 more sources
Do not log-transform count data [PDF]
1. Ecological count data (e.g., number of individuals or species) are often log-transformed to satisfy parametric test assumptions. 2. Apart from the fact that generalized linear models are better suited in dealing with count data, a log ...
Johan Kotze, Robert B. O'
core +2 more sources
INTRODUÇÃO: As estatísticas dos acidentes de trabalho, como qualquer outro sistema de notificação, devem servir de base para determinar prioridades e decidir quais medidas preventivas devem ser adotadas.
Rosana F. Sampaio +3 more
doaj +1 more source
A log linear Poisson autoregressive model to understand COVID-19 dynamics in Saudi Arabia
Background On March 2, 2020, the first case of COVID-19 infection in Saudi Arabia was identified and announced by the health authorities. From first week of March, the number of new confirmed COVID-cases has gradually increased, reaching 2932 confirmed ...
Salem Mubarak Alzahrani
doaj +1 more source
Structure learning: some testing problems
The work is based on data about the prevalence of congenital anomalies among newborns in Lithuania. The log-linear model is used to assess dependence structure of a subset of categorical variables. It is shown that fitting the log-linear model with just
Marijus Radavičius +1 more
doaj +3 more sources
Log-linear distance models of homophily in small groups
This article demonstrates the innovative use of the log-linear distance model in the assessment of homophily in a set of small groups, such as the co-participants in a set of events. It traces the development of the application of the log-linear distance
Peter J Carrington
doaj +1 more source
ϕ-Divergence in Contingency Table Analysis
The ϕ -divergence association models for two-way contingency tables is a family of models that includes the association and correlation models as special cases. We present this family of models, discussing its features and demonstrating the role of
Maria Kateri
doaj +1 more source
Water quality models use log-linear decay to estimate the inactivation of fecal indicator bacteria (FIB). The decay of molecular measurements of FIB does not follow a log-linear pattern.
Yolanda M. Brooks +2 more
doaj +1 more source
Feature-Based Decipherment for Machine Translation [PDF]
Orthographic similarities across languages provide a strong signal for unsupervised probabilistic transduction (decipherment) for closely related language pairs.
Iftekhar Naim +2 more
doaj +1 more source

