Results 11 to 20 of about 1,202,565 (290)

Model Averaging in Viral Dynamic Models [PDF]

The AAPS Journal, 2020
The paucity of experimental data makes both inference and prediction particularly challenging in viral dynamic models. In the presence of several candidate models, a common strategy is model selection (MS), in which models are fitted to the data but only results obtained with the "best model" are presented.
Gonçalves, Antonio, Mentré, France, Lemenuel-Diot, Annabelle, Guedj, Jérémie   +3 more
openaire   +3 more sources

Model-averaged Bayesian t tests

Psychonomic Bulletin & Review, 2022
Abstract One of the most common statistical analyses in experimental psychology concerns the comparison of two means using the frequentist t test. However, frequentist t tests do not quantify evidence and require various assumption tests. Recently, popularized Bayesian t tests do quantify evidence, but these were developed for scenarios where
Maximilian Maier, František Bartoš, Daniel S Quintana, Fabian Dablander, Don van den Bergh, Maarten Marsman, Alexander Ly, Eric-Jan Wagenmakers   +7 more
openaire   +2 more sources

Model‐Averaged Confidence Intervals [PDF]

Scandinavian Journal of Statistics, 2015
AbstractWe develop an approach to evaluating frequentist model averaging procedures by considering them in a simple situation in which there are two‐nested linear regression models over which we average. We introduce a general class of model averaged confidence intervals, obtain exact expressions for the coverage and the scaled expected length of the ...
Kabaila, Paul, Welsh, Alan, Abeysekera, Waruni   +2 more
openaire   +3 more sources

Recovering Crossed Random Effects in Mixed-Effects Models Using Model Averaging

Methodology, 2022
Random effects contain crucial information to understand the variability of the processes under study in mixed-effects models with crossed random effects (MEMs-CR).
José Ángel Martínez-Huertas, Ricardo Olmos   +1 more
doaj   +1 more source

Averaging and Stacking Partial Least Squares Regression Models to Predict the Chemical Compositions and the Nutritive Values of Forages from Spectral Near Infrared Data

Applied Sciences, 2022
Partial least square regression (PLSR) is a reference statistical model in chemometrics. In agronomy, it is used to predict components (response variables y) of chemical composition of vegetal materials from spectral near infrared (NIR) data X collected ...
Mathieu Lesnoff, Donato Andueza, Charlène Barotin, Philippe Barre, Laurent Bonnal, Juan Antonio Fernández Pierna, Fabienne Picard, Philippe Vermeulen, Jean-Michel Roger   +8 more
doaj   +1 more source

Systematic Comparison of Hospital-Wide Standard and Model-Based Therapeutic Drug Monitoring of Vancomycin in Adults

Pharmaceutics, 2022
We aimed to evaluate the predictive performance and predicted doses of a single-model approach or several multi-model approaches compared with the standard therapeutic drug monitoring (TDM)-based vancomycin dosing.
Heleen Gastmans, Erwin Dreesen, Sebastian G. Wicha, Nada Dia, Ellen Spreuwers, Annabel Dompas, Karel Allegaert, Stefanie Desmet, Katrien Lagrou, Willy E. Peetermans, Yves Debaveye, Isabel Spriet, Matthias Gijsen   +12 more
doaj   +1 more source

BACE and BMA Variable Selection and Forecasting for UK Money Demand and Inflation with Gretl

Econometrics, 2020
In this paper, we apply Bayesian averaging of classical estimates (BACE) and Bayesian model averaging (BMA) as an automatic modeling procedures for two well-known macroeconometric models: UK demand for narrow money and long-term inflation.
Marcin Błażejowski, Jacek Kwiatkowski, Paweł Kufel   +2 more
doaj   +1 more source

Automating Model Comparison in Factor Graphs

Entropy, 2023
Bayesian state and parameter estimation are automated effectively in a variety of probabilistic programming languages. The process of model comparison on the other hand, which still requires error-prone and time-consuming manual derivations, is often ...
Bart van Erp, Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries   +3 more
doaj   +1 more source

The sustainability of Serbia's external position: The impact of fiscal adjustment and external shocks [PDF]

Ekonomski Anali, 2015
This paper studies the impact of fiscal policy and external shocks on the sustainability of Serbia’s external position. The key determinants of Serbia's current account balance are identified using model averaging techniques and are compared ...
Zildžović Emir
doaj   +1 more source

Model Averaging in Risk Management with an Application to Futures Markets [PDF]

, 2008
This paper considers the problem of model uncertainty in the case of multi-asset volatility models and discusses the use of model averaging techniques as a way of dealing with the risk of inadvertently using false models in portfolio management ...
Pesaran, M. Hashem, Schleicher, C., Zaffaroni, P.   +2 more
core   +4 more sources