1.
Robust Bayesian model averaging for the analysis of presence–absence data
by Corani, Giorgio
Environmental and ecological statistics, 2015-02-07, Vol.22 (3), p.513-534

2.
MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space
by Ronquist, Fredrik
Systematic biology, 2012-05-01, Vol.61 (3), p.539-542

3.
AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons
by Burnham, Kenneth P
Behavioral ecology and sociobiology, 2011-01-01, Vol.65 (1), p.23-35

4.
A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion
by Symonds, Matthew R. E
Behavioral ecology and sociobiology, 2011-01-01, Vol.65 (1), p.13-21

5.
Benchmark dose (BMD) modeling: current practice, issues, and challenges
by Haber, Lynne T.
Critical reviews in toxicology, 2018-05-28, Vol.48 (5), p.387-415

6.
Model Selection and Model Averaging in Phylogenetics: Advantages of Akaike Information Criterion and Bayesian Approaches Over Likelihood Ratio Tests
by Posada, David
Systematic biology, 2004-10, Vol.53 (5), p.793-808

7.
A General Method for Simultaneously Accounting for Phylogenetic and Species Sampling Uncertainty via Rubin's Rules in Comparative Analysis
by Nakagawa, Shinichi
Systematic biology, 2019-07-01, Vol.68 (4), p.632-641

8.
Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks
by Friedman, Nir
Machine learning, 2003-01-01, Vol.50 (1-2), p.95-125

9.
Forecasting Time Series Subject to Multiple Structural Breaks
by HASHEM PESARAN, M
The Review of economic studies, 2006-10, Vol.73 (4), p.1057-1084

10.
An ensemble approach to predicting the impact of vaccination on rotavirus disease in Niger
by Park, Jaewoo
Vaccine, 2017-10-13, Vol.35 (43), p.5835-5841

11.
On better training the infinite restricted Boltzmann machines
by Peng, Xuan
Machine learning, 2018-02-01, Vol.107 (6), p.943-968

12.
When and when not to use optimal model averaging
by Schomaker, Michael
Statistical papers (Berlin, Germany), 2018-09-14, Vol.61 (5), p.2221-2240

13.
Differentiation of Type 1 and Type 2 Myocardial Infarctions Among HIV-Infected Patients Requires Adjudication Due to Overlap in Risk Factors
by Nance, Robin M
AIDS research and human retroviruses, 2018-11, Vol.34 (11), p.916-921

14.
Application of Bayesian model averaging in modeling long-term wind speed distributions
by Li, Gong
Renewable energy, 2010, Vol.35 (6), p.1192-1202

15.
Model averaging estimator in ridge regression and its large sample properties
by Zhao, Shangwei
Statistical papers (Berlin, Germany), 2018-04-18, Vol.61 (4), p.1719-1739

16.
Modelling the environmental and soil factors that shape the niches of two common arbuscular mycorrhizal fungal families
by Veresoglou, Stavros D
Plant and soil, 2013-07-01, Vol.368 (1/2), p.507-518

17.
PAC-Bayesian Stochastic Model Selection
by McAllester, David A
Machine learning, 2003-04-01, Vol.51 (1), p.5-21

18.
Real estate returns predictability revisited: novel evidence from the US REITs market
by Akinsomi, Omokolade
Empirical economics, 2016-02-03, Vol.51 (3), p.1165-1190

19.
On predicting the semiconductor industry cycle: a Bayesian model averaging approach
by Liu, Wen-Hsien
Empirical economics, 2016-12-31, Vol.54 (2), p.673-703

20.
Bayesian Phylogenetics and Its Influence on Insect Systematics
by RONQUIST, Fredrik
Annual review of entomology, 2010, Vol.55 (1), p.189-206
