Results 91 to 100 of about 1,681,604 (218)
On the Choice of Prior in Bayesian Model Averaging [PDF]
Bayesian model averaging attempts to combine parameter estimation and model uncertainty in one coherent framework. The choice of prior is then critical.
Kumar, K., Magnus, J.R., Einmahl, J.H.J.
core
Forecasting using a large number of predictors: is Bayesian regression a valid alternative to principal components? [PDF]
This paper considers Bayesian regression with normal and doubleexponential priors as forecasting methods based on large panels of time series. We show that, empirically, these forecasts are highly correlated with principal component forecasts and that ...
De Mol, Christine +2 more
core +2 more sources
BAMarray™: Java software for Bayesian analysis of variance for microarray data
BMC Bioinformatics, 2006 Background DNA microarrays open up a new horizon for studying the genetic determinants of disease. The high throughput nature of these arrays creates an enormous wealth of information, but also poses a challenge to data analysis.
Rao J Sunil +2 more
doaj +1 more source
European Journal of Dental Education, EarlyView.ABSTRACT Introduction Generative artificial intelligence (AI) tools are now embedded in dental teaching and clinical learning, yet little is known about how reliance on them is psychologically organised in dental students and professionals. This study mapped how two forms of AI dependence relate to problematic social media use, anxiety, and attentional
Gil Guilherme Gasparello +4 more
wiley +1 more source
Contrasting Food Web Dynamics Across Oceanographic Boundaries in Subarctic Pelagic Ecosystems
Fisheries Oceanography, EarlyView.ABSTRACT Understanding the structure of pelagic food webs across multiple trophic levels is critical for elucidating species interactions, energy flow, and anthropogenic impacts on production. This study presents a comprehensive analysis of the eastern North Pacific pelagic food webs, focusing on the Gulf of Alaska (GoA) during late winter of 2019.
Genyffer C. Troina +3 more
wiley +1 more source
A Horse Race of Machine‐Learning Methods to Predict Banking Crises
International Finance, EarlyView.ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley +1 more source
A note on generalised information criteria for structured sparse models
International Statistical Review, EarlyView.Summary We propose a generalised information criteria ( gic) that accounts for sparsity pattern in the model. We obtain both asymptotic and nonasymptotic results for model selection. Moreover, we show that the gic is useful for selecting the regularisation parameter in regularised m$$ m $$ estimation in high‐dimensional scenarios.
Eduardo Fonseca Mendes +1 more
wiley +1 more source
Journal of Phycology, EarlyView.Abstract The sugar kelp Saccharina latissima is a promising candidate for sustainable aquaculture in the North Atlantic and Northeast Pacific, but genetic improvement has been hindered by a limited understanding of the genetic basis of economically important traits.
Stéphane Mauger +15 more
wiley +1 more source
Forecasting Euro Area Macroeconomic Variables with Bayesian Adaptive Elastic Net
, 2015 I use the adaptive elastic net in a Bayesian framework and test its forecasting performance against lasso, adaptive lasso and elastic net (all used in a Bayesian framework) in a series of simulations, as well as in an empirical exercise for macroeconomic
Stankiewicz, Sandra
core +1 more source
Corrigendum: Modified quantile regression for modeling the low birth weight
Frontiers in Applied Mathematics and Statistics, 2023 Ferra Yanuar +2 more
doaj +1 more source