Results 41 to 50 of about 157,395 (292)
A subsampling approach for Bayesian model selection
International Journal of Approximate Reasoning, 2022 33 pages, 17 figures ...
Jon Lachmann +3 more
openaire +3 more sources
Bayesian model averaging: improved variable selection for matched case-control studies
Epidemiology, Biostatistics and Public Health, 2022 Background: The problem of variable selection for risk factor modeling is an ongoing challenge in statistical practice. Classical methods that select one subset of exploratory risk factors dominate the medical research field.
Yi Mu, Isaac See, Jonathan R. Edwards
doaj
Bayesian model selection using test statistics
, 2008 Existing Bayesian model selection procedures require the specification of prior distributions on the parameters appearing in every model in the selection set.
Jianhua Hu, Valen E. Johnson
core +1 more source
Bayesian Model Averaging, Learning, and Model Selection* [PDF]
, 2013 Agents have two forecasting models, one consistent with the unique rational expectations equilibrium, another that assumes a time-varying parameter structure. When agents use Bayesian updating to choose between models in a self-referential system, we find that learning dynamics lead to selection of one of the two models.
Evans, George W. +3 more
openaire +3 more sources
Bayesian Model Selection for Beta Autoregressive Processes
, 2012 We deal with Bayesian model selection for beta autoregressive processes. We discuss the choice of parameter and model priors with possible parameter restrictions and suggest a Reversible Jump Markov-Chain Monte Carlo (RJMCMC) procedure based on a ...
LEISEN F. +2 more
core +1 more source
Bayesian model selection with fractional Brownian motion [PDF]
, 2018 We implement Bayesian model selection and parameter estimation for the case of fractional Brownian motion with measurement noise and a constant drift. The approach is tested on artificial trajectories and shown to make estimates that match well with the ...
Wüstner, Daniel; id_orcid +4 more
core +1 more source
Model Selection in Historical Research Using Approximate Bayesian Computation. [PDF]
PLoS ONE, 2016 FORMAL MODELS AND HISTORY:Computational models are increasingly being used to study historical dynamics. This new trend, which could be named Model-Based History, makes use of recently published datasets and innovative quantitative methods to improve our
Xavier Rubio-Campillo
doaj +1 more source
Bayesian Online Model Selection
CoRROnline model selection in Bayesian bandits raises a fundamental exploration challenge: When an environment instance is sampled from a prior distribution, how can we design an adaptive strategy that explores multiple bandit learners and competes with the best one in hindsight?
Aida Afshar, Yuke Zhang, Aldo Pacchiano
openaire +2 more sources
Bayesian Model Selection for Generalized Linear Mixed Models
Biometrics, 2023 AbstractWe propose a Bayesian model selection approach for generalized linear mixed models (GLMMs). We consider covariance structures for the random effects that are widely used in areas such as longitudinal studies, genome-wide association studies, and spatial statistics.
Shuangshuang Xu +3 more
openaire +3 more sources
Comparison of Hypothesis Testing and Bayesian Model Selection
, 2007 Bayesian model selection, encompassing prior, posterior model probability, p-value, training data,
Methodology and statistics for the behavioural and social sciences +5 more
core +1 more source