The MIAmaxent R package: Variable transformation and model selection for species distribution models
Sign Up to like & getrecommendations! Published in 2019 at "Ecology and Evolution"
DOI: 10.1002/ece3.5654
Abstract: Abstract The widely used “Maxent” software for modeling species distributions from presence‐only data (Phillips et al., Ecological Modelling, 190, 2006, 231) tends to produce models with high‐predictive performance but low‐ecological interpretability, and implications of Maxent's… read more here.
Keywords: selection; variable transformation; model; model selection ... See more keywords
Spatiotemporal multivariate mixture models for Bayesian model selection in disease mapping.
Sign Up to like & getrecommendations! Published in 2017 at "Environmetrics"
DOI: 10.1002/env.2465
Abstract: It is often the case that researchers wish to simultaneously explore the behavior of and estimate overall risk for multiple, related diseases with varying rarity while accounting for potential spatial and/or temporal correlation. In this… read more here.
Keywords: model; model selection; mixture models; spatiotemporal multivariate ... See more keywords
An Explainable AI for Blood Image Classification With Dynamic CNN Model Selection Framework
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.70084
Abstract: Explainable AI (XAI) frameworks are becoming essential in many areas, including the medical field, as they help us to understand AI decisions, increasing clinical trust and improving patient care. This research presents a robust and… read more here.
Keywords: selection framework; framework; model selection; spinalnet ... See more keywords
A model selection framework to quantify microvascular liver function in gadoxetate‐enhanced MRI: Application to healthy liver, diseased tissue, and hepatocellular carcinoma
Sign Up to like & getrecommendations! Published in 2021 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.28798
Abstract: We introduce a novel, generalized tracer kinetic model selection framework to quantify microvascular characteristics of liver and tumor tissue in gadoxetate‐enhanced dynamic contrast‐enhanced MRI (DCE‐MRI). read more here.
Keywords: framework quantify; gadoxetate enhanced; selection framework; liver ... See more keywords
On GEE for Mean‐Variance‐Correlation Models: Variance Estimation and Model Selection
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DOI: 10.1002/sim.10271
Abstract: Generalized estimating equations (GEE) are of great importance in analyzing clustered data without full specification of multivariate distributions. A recent approach by Luo and Pan jointly models the mean, variance, and correlation coefficients of clustered… read more here.
Keywords: variance correlation; model selection; model; variance ... See more keywords
A model selection approach to jointly testing for structural breaks and cointegration with application to the Eurocurrency interest rates market
Sign Up to like & getrecommendations! Published in 2020 at "Empirical Economics"
DOI: 10.1007/s00181-020-01916-1
Abstract: All tests involving both structural breaks and cointegration are parametric. As a complement to the classical hypothesis testing for empirical researchers, we suggest the use of a one-step model selection approach to simultaneously specifying lag… read more here.
Keywords: structural breaks; cointegration; model selection; breaks cointegration ... See more keywords
A new method for estimation and model selection:$$\rho $$ρ-estimation
Sign Up to like & getrecommendations! Published in 2017 at "Inventiones mathematicae"
DOI: 10.1007/s00222-016-0673-5
Abstract: The aim of this paper is to present a new estimation procedure that can be applied in various statistical frameworks including density and regression and which leads to both robust and optimal (or nearly optimal)… read more here.
Keywords: estimation; estimation model; new method; method estimation ... See more keywords
A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Classification"
DOI: 10.1007/s00357-019-09351-3
Abstract: Mixture model-based clustering has become an increasingly popular data analysis technique since its introduction over fifty years ago, and is now commonly utilized within a family setting. Families of mixture models arise when the component… read more here.
Keywords: parameter estimation; family; model; model selection ... See more keywords
Investigating the effect of complexity on groundwater flow modeling uncertainty
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DOI: 10.1007/s00477-017-1436-6
Abstract: Considering complexity in groundwater modeling can aid in selecting an optimal model, and can avoid over parameterization, model uncertainty, and misleading conclusions. This study was designed to determine the uncertainty arising from model complexity, and… read more here.
Keywords: uncertainty; complexity; model; model selection ... See more keywords
Model selection and application to high-dimensional count data clustering
Sign Up to like & getrecommendations! Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1333-9
Abstract: EDCM, the Exponential-family approximation to the Dirichlet Compound Multinomial (DCM), proposed by Elkan (2006), is an efficient statistical model for high-dimensional and sparse count data. EDCM models take into account the burstiness phenomenon correctly while… read more here.
Keywords: high dimensional; model; model selection; count data ... See more keywords
Fast sampling and model selection for Bayesian mixture models
Sign Up to like & getrecommendations! Published in 2025 at "Statistics and Computing"
DOI: 10.1007/s11222-025-10753-0
Abstract: We study Bayesian estimation of mixture models and argue in favor of fitting the marginal posterior distribution over component assignments directly, rather than Gibbs sampling from the joint posterior on components and parameters as is… read more here.
Keywords: model selection; mixture models; mixture; fast sampling ... See more keywords