A Bayesian framework for robust quantitative trait locus mapping and outlier detection
From MaRDI portal
Publication:6636048
DOI10.1515/IJB-2019-0038MaRDI QIDQ6636048
Crispin M. Mutshinda, Andrew J. Irwin, M. J. Sillanpää
Publication date: 12 November 2024
Published in: The International Journal of Biostatistics (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Sure independence screening in generalized linear models with NP-dimensionality
- Robust regression through the Huber's criterion and adaptive lasso penalty
- Outlier Detection Using Nonconvex Penalized Regression
- Rejection of Outliers
- Bayesian Longitudinal Data Analysis with Mixed Models and Thick-tailed Distributions using MCMC
- The Bayesian Lasso
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- On scale mixtures of normal distributions
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- Bayes Factors
- Robust Linear Mixed Models with Normal/Independent Distributions and Bayesian MCMC Implementation
- Equation of State Calculations by Fast Computing Machines
- Regularization and Variable Selection Via the Elastic Net
- A Bayesian approach to some outlier problems
- Monte Carlo sampling methods using Markov chains and their applications
- Care and Handling of Univariate or Multivariate Outliners in Detecting Spuriosity: A Bayesian Approach
This page was built for publication: A Bayesian framework for robust quantitative trait locus mapping and outlier detection
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6636048)
