Brian M. Brost
机构: Statistician (Biology) - NOAA Marine Mammal Lab
每年引用次数
引用次数
引用: 1,464
H-指数: 16
I10-指数 : 19
出版物: 42
Hierarchical animal movement models for population-level inference
Ephraim M. Hanks , Brian M. Brost , Jacob S. Ivan , Mevin B. Hooten
arXiv: Methodology
2016
Making Recursive Bayesian Inference Accessible
Brian M. Brost , Mevin B. Hooten , Mevin B. Hooten , Devin S. Johnson
arXiv: Methodology
2018
Prior-Proposal Recursive Bayesian Inference
Brian M. Brost , Mevin B. Hooten , Devin S. Johnson
1
2018
The basis function approach for modeling autocorrelation in ecological data
Kristin M. Broms , Brian M. Brost , Trevor J. Hefley , Mevin B. Hooten
arXiv: Applications
2016
Alaska Marine Mammal Stock Assessments, 2019
S. A. Mizroch , K. E. W. Shelden , Y. V. Ivashchenko , P. R. Wade
2020
Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling
Brian M. Brost , Mevin B. Hooten , Devin S. Johnson
arXiv: Methodology
2020
Assessment of Chronic Wasting Disease Prion Shedding in Deer Saliva with Occupancy Modeling.
Kristen A. Davenport , Brittany A. Mosher , Brian M. Brost , Davin M. Henderson
Journal of Clinical Microbiology 56 ( 1)
10
2017
Use of land facets to plan for climate change: conserving the arenas, not the actors.
PAUL BEIER , BRIAN BROST
Conservation Biology 24 ( 3) 701 -710
188
2010
Statistical models for animal telemetry data with applications to harbor seals in the Gulf of Alaska
Brian M Brost , Mevin B Hooten , Robert J Small , George Wittemyer
Colorado State University. Libraries
Greater than the sum of its parts: Computationally flexible Bayesian hierarchical modeling
Devin S Johnson , Brian M Brost , Mevin B Hooten
Journal of Agricultural, Biological and Environmental Statistics 27 ( 2) 382 -400
4
2022
Assessment of Chronic Wasting Disease Prion Shedding in Deer Saliva with Occupancy Modeling
Kristen A Davenport , Brittany A Mosher , Brian M Brost , Davin M Henderson
Journal of clinical microbiology 56 ( 1) e01243 -17
32
2018
Use of land facets to design conservation corridors: conserving the arenas, not the actors
Brian M Brost
Northern Arizona University
3
2010
Hierarchical animal movement models for population‐level inference
Mevin B Hooten , Frances E Buderman , Brian M Brost , Ephraim M Hanks
Environmetrics 27 ( 6) 322 -333
39
2016
Alaska marine mammal stock assessments, 2020
Marcia M Muto , Van T Helker , BJ Delean , NC Young
197
2021
Alaska marine mammal stock assessments, 2022
NC Young , AA Brower , MM Muto , JC Freed
5
2023
Alaska marine mammal stock assessments, 2020. US Dep. Commer
MM Muto , VT Helker , BJ Delean , NC Young
NOAA Tech. Memo. NMFS-AFSC 421 398 -398
32
2021
Alaska marine mammal stock assessments, 2022. US Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Alaska Fisheries Science Center, Seattle, WA, July 2023
NC Young , MM Muto , VT Helker , BJ Delean
NOAA Technical Memorandum NMFS-AFSC 474 316 -316
9
2023
CONCEPTS & SYNTHESIS
TREVOR J HEFLEY , KRISTIN M BROMS , BRIAN M BROST , FRANCES E BUDERMAN
Ecology 98 ( 3) 632 -646
2017
Model-based clustering reveals patterns in central place use of a marine top predator
Brian M. Brost , Mevin B. Hooten , Robert J. Small
Ecosphere 11 ( 6)
2020
The basis function approach for modeling autocorrelation in ecological data.
Trevor J. Hefley , Kristin M. Broms , Brian M. Brost , Frances E. Buderman
Ecology 98 ( 3) 632 -646
54
2017