Results 261 to 270 of about 396,010 (290)

Bayesian inference for the hazard term structure with functional predictors using Bayesian predictive information criteria

Computational Statistics & Data Analysis, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Subset selection in quantile regression analysis via alternative Bayesian information criteria and heuristic optimization

Communications in Statistics - Theory and Methods, 2016
ABSTRACTSubset selection is an extensively studied problem in statistical learning. Especially it becomes popular for regression analysis. This problem has considerable attention for generalized linear models as well as other types of regression methods. Quantile regression is one of the most used types of regression method.
Dunder, Emre, Gumustekin, Serpil, Murat, Naci, Cengiz, Mehmet Ali   +3 more
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Variable selection in linear regression analysis with alternative Bayesian information criteria using differential evaluation algorithm

Communications in Statistics - Simulation and Computation, 2017
ABSTRACTIn statistical analysis, one of the most important subjects is to select relevant exploratory variables that perfectly explain the dependent variable. Variable selection methods are usually performed within regression analysis. Variable selection is implemented so as to minimize the information criteria (IC) in regression models.
Dunder, Emre, Gumustekin, Serpil, Murat, Naci, Cengiz, Mehmet Ali   +3 more
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A Theoretical Performance Analysis of Bayesian and Information Theoretic Image Segmentation Criteria

1993
This paper presents a theoretical analysis of the performance characteristics of image segmentation objective functions that model the image as a Markov random field corrupted by additive white Gaussian noise, or equivalently, use Rissanen’s Minimum Description Length criterion.
Ian B. Kerfoot, Yoram Bresler
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Bayesian ordinal regression for multiple criteria choice and ranking

European Journal of Operational Research, 2022
Miłosz Kadziński
exaly  

Outlier Detection in Multiple Regression Models Using Genetic Algorithms and Bayesian Information Criteria

2008
İstatistiksel modeller; özellikle regresyon modelleri, veri setlerinin önemli özelliklerinin anlaşılması ve ortaya çıkarılmasında en çok kullanılan araçlardandır. Bununla birlikte, gerçek hayatta birçok veri seti genellikle sapan değer olarak adlandırılan belirli miktardaki anormal değerler içerebilmektedir.
GÜRÜNLÜ ALMA, Özlem, KURT, Serdar, UĞUR, Aybars   +2 more
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A new fuzzy model of multi-criteria decision support based on Bayesian networks for the urban areas' decarbonization planning

Energy Conversion and Management, 2022
Maria Mrówczyńska, Anna Bazan - Krzywoszańska, Filip Janowiec   +2 more
exaly  

Integrating Dynamic Bayesian Networks and Analytic Hierarchy Process for Time-Dependent Multi-Criteria Decision-Making

Mathematics, 2023
Jih-Jeng Huang
exaly  

Understanding predictive information criteria for Bayesian models

STATISTICS AND COMPUTING, 2014
Gelman, Andrew, Hwang, Jessica, Vehtari, Aki   +3 more
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Bayesian statistics and modelling

Nature Reviews Methods Primers, 2021
Rens van de Schoot, Sarah A Depaoli, Ruth King   +2 more
exaly