Brian M. Brost

1. Making Recursive Bayesian Inference Accessible
   2018/07/28 by Mevin B. Hooten, Devin S. Johnson, Hooten, Mevin B. +3 · 7 citations
   Mathematics · #FOS: Computer and information sciences #Methodology (stat.ME) #stat.ME
2. Hierarchical animal movement models for population-level inference
   2016/06/30 by Mevin B. Hooten, Frances E. Buderman, Hooten, Mevin B. +7 · 1 citation
   Mathematics · #FOS: Computer and information sciences #Methodology (stat.ME) #stat.ME
3. The basis function approach for modeling autocorrelation in ecological data
   2016/06/17 by Trevor J. Hefley, Kristin Broms, Kristin M. Broms +17 · 1 citation
   Environmental Science · Mathematics · #Applications (stat.AP) #FOS: Computer and information sciences #Fish Ecology and Management Studies #Land Use and Ecosystem Services #Species Distribution and Climate Change #stat.AP
4. Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling
   2020/10/23 by Devin S. Johnson, Brian M. Brost, Johnson, Devin S. +3 · 1 citation
   Environmental Science · Mathematics · #Algorithm #Bayesian inference #Bayesian probability #Computation (stat.CO) #Computer science #Data mining #Ecology and Vegetation Dynamics Studies #Estimator #FOS: Computer and information sciences #Hierarchical database model #Mathematics #Maximum a posteriori estimation #Maximum likelihood #Methodology (stat.ME) #Population #Posterior probability #Random effects model #Soil Geostatistics and Mapping #Statistical Methods and Bayesian Inference #Statistics #stat.CO #stat.ME