Results 51 to 60 of about 2,501,945 (313)
Animal, 2018 Recent reports on livestock environmental impact based on life cycle assessment (LCA) did not fully consider the case of the dairy goat. Assignment of an environmental impact (e.g.
P.P. Danieli, B. Ronchi
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Predictive Bayesian selection of multistep Markov chains, applied to the detection of the hot hand and other statistical dependencies in free throws [PDF]
Royal Society Open Science, 2019 Consider the problem of modelling memory effects in discrete-state random walks using higher-order Markov chains. This paper explores cross-validation and information criteria as proxies for a model’s predictive accuracy. Our objective is to select, from
Joshua C. Chang
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Variable Selection and Model Choice in Geoadditive Regression Models [PDF]
, 2007 Model choice and variable selection are issues of major concern in practical regression analyses. We propose a boosting procedure that facilitates both tasks in a class of complex geoadditive regression models comprising spatial effects, nonparametric ...
Kneib, Thomas +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro +11 more
wiley +1 more source
Ecology and EvolutionEstimating the causal effect of a variable is an important task for applied ecology. While several methods have been applied to empirical, observational studies, there have been a few attempts to employ the causal inference approach based on the ...
Yusaku Ohkubo +2 more
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Model Selection Methods for Model-Bridge Simulation Calibration
IEEE AccessComputer simulations are ubiquitous in many scientific communities analyzing complex phenomena, such as physics, material science, medicine, and others.
Bojan Batalo +2 more
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Journal of the Royal Statistical Society Series B: Statistical Methodology, 1995 SUMMARY We consider the problem of selecting one model from a large class of plausible models. A predictive Bayesian viewpoint is advocated to avoid the specification of prior probabilities for the candidate models and the detailed interpretation of the parameters in each model.
Laud, Purushottam W., Ibrahim, Joseph G.
openaire +2 more sources
Model selection for anomaly detection [PDF]
SPIE Proceedings, 2015 6 pages, 3 figures, Eighth International Conference on Machine Vision (December 8, 2015)
Evgeny Burnaev +2 more
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Particle Swarm Model Selection [PDF]
, 2009 This paper proposes the application of particle swarm optimization (PSO) to the problem of full model selection, FMS, for classification tasks. FMS is defined as follows: given a pool of preprocessing methods, feature selection and learning algorithms ...
LUIS ENRIQUE SUCAR SUCCAR +2 more
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Improving the performance of model-order selection criteria by\ud partial-model selection search
, 2010 The traditional searching method for model-order selection in\ud linear regression is a nested full-parameters-set searching procedure\ud over the desired orders, which we call full-model order\ud selection.
Zoubir, Abdelhak M. +8 more
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