Results 271 to 280 of about 122,222 (300)

A Marginal Likelihood Model for Family‐Based Data

Annals of Human Genetics, 2003
SummaryThis paper presents a marginal likelihood model for family‐based data based upon the transmission of marker alleles from each heterozygous parent to his/her affected children. The proposed model, extending the maximum‐likelihood‐binomial (MLB) method and the disequilibrium maximum‐likelihood‐binomial (DMLB) method (Abel et al.
Shaw-Hwa, Lo, Xin, Liu, Yongzhao, Shao
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BAYESIAN COMPOSITE MARGINAL LIKELIHOODS

2011
This paper proposes and discusses the use of composite marginal like- lihoods for Bayesian inference. This approach allows one to deal with complex statistical models in the Bayesian framework, when the full likelihood - and thus the full posterior distribution - is impractical to compute or even analytically un- known.
PAULI, FRANCESCO, Racugno W., Ventura L.
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Estimation of weights and validation: a marginal likelihood approach

Acta Crystallographica Section D Biological Crystallography, 2003
The estimation of weights is quite an important aspect of the restrained refinement of macromolecular structures and related procedures such as the estimation of coordinate errors and structure validation using geometrical criteria. In principle, the method of maximum likelihood can be used for estimation of both atomic and weighting parameters ...
Andrey A, Lebedev, Ian J, Tickle, Roman A, Laskowski, David S, Moss   +3 more
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Marginal likelihood methods in econometrics

2017
This thesis is concerned with the application of the method of marginal likelihood to certain problems in econometrics; namely those concerning estimation and inference in the setting established by the linear regression model. Particular attention is given to the problem of estimation and inference in the dynamic linear regression model, in which lags
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Maximization of the marginal likelihood of grouped survival data

Biometrika, 1994
SUMMARY Grouped failure time data occur in studies where subjects are monitored periodically to determine whether failure has occurred in the intervening interval. Here the model under consideration is Cox's (1972, 1975) proportional hazards model, but the commonly used method of partial likelihood needs modification with grouped data due to a ...
Sinha, Debajyoti, Tanner, Martin A., Hall, W. J.   +2 more
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Contour tracking based on marginalized likelihood ratios

Image and Vision Computing, 2006
When fitting contour models to image data, it is necessary to take into account unmodelled shape variability. Traditionally, this has been done either by blurring the input image or by looking for image features in the neighborhood of the contour. A more statistically rigorous approach is to marginalize over all possible shape deformations.
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A Marginal Effects Approach to Interpreting Main Effects and Moderation

Organizational Research Methods, 2022
John R Busenbark, Scott D Graffin, Robert J Campbell   +2 more
exaly  

Using Predictions and Marginal Effects to Compare Groups in Regression Models for Binary Outcomes

Sociological Methods and Research, 2021
J Scott Long, Sarah A Mustillo
exaly  

Clinicopathologic characteristics and treatment of marginal zone lymphoma of mucosa‐associated lymphoid tissue (MALT lymphoma)

Ca-A Cancer Journal for Clinicians, 2016
Markus Raderer, Barbara Kiesewetter, Andres J M Ferreri   +2 more
exaly  

Visualization of splenic marginal zone B-cell shuttling and follicular B-cell egress

Nature, 2012
Tal I Arnon, Irina L Grigorova, Jason G Cyster   +2 more
exaly