Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Anca M Hanea"'
Autor:
Hannah Fraser, Martin Bush, Bonnie C Wintle, Fallon Mody, Eden T Smith, Anca M Hanea, Elliot Gould, Victoria Hemming, Daniel G Hamilton, Libby Rumpff, David P Wilkinson, Ross Pearson, Felix Singleton Thorn, Raquel Ashton, Aaron Willcox, Charles T Gray, Andrew Head, Melissa Ross, Rebecca Groenewegen, Alexandru Marcoci, Ans Vercammen, Timothy H Parker, Rink Hoekstra, Shinichi Nakagawa, David R Mandel, Don van Ravenzwaaij, Marissa McBride, Richard O Sinnott, Peter Vesk, Mark Burgman, Fiona Fidler
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0274429 (2023)
As replications of individual studies are resource intensive, techniques for predicting the replicability are required. We introduce the repliCATS (Collaborative Assessments for Trustworthy Science) process, a new method for eliciting expert predicti
Externí odkaz:
https://doaj.org/article/8727d106f167449f9b6afa504dc1f97d
Publikováno v:
PLoS ONE, Vol 13, Iss 6, p e0198468 (2018)
INTRODUCTION:Natural resource management uses expert judgement to estimate facts that inform important decisions. Unfortunately, expert judgement is often derived by informal and largely untested protocols, despite evidence that the quality of judgem
Externí odkaz:
https://doaj.org/article/bc81e5fb8d4f48cdb0437d6d2bd33d90
Publikováno v:
Conservation Science and Practice, Vol 5, Iss 12, Pp n/a-n/a (2023)
Abstract Effective biodiversity conservation requires robust and transparent prioritization of management actions. However, this is often hampered by a lack of spatially‐explicit data on habitat variables and empirical data on the effect of managem
Externí odkaz:
https://doaj.org/article/7f457f33df9d4f5d9833bb467819b2fc
Autor:
Fernando Marmolejo-Ramos, Thomas Workman, Clint Walker, Don Lenihan, Sarah Moulds, Juan C. Correa, Anca M. Hanea, Belona Sonna
Publikováno v:
Discover Artificial Intelligence, Vol 2, Iss 1, Pp 1-16 (2022)
Abstract Algorithms, data, and AI (ADA) technologies permeate most societies worldwide because of their proven benefits in different areas of life. Governments are the entities in charge of harnessing the benefits of ADA technologies above and beyond
Externí odkaz:
https://doaj.org/article/1983b7cff71843f6a4009efd5c609da5
Publikováno v:
Entropy, Vol 24, Iss 6, p 757 (2022)
Estimates based on expert judgements of quantities of interest are commonly used to supplement or replace measurements when the latter are too expensive or impossible to obtain. Such estimates are commonly accompanied by information about the uncerta
Externí odkaz:
https://doaj.org/article/cfb0b1b80bbf4bc99d426a4ff779eb55
Publikováno v:
Forecasting; Volume 4; Issue 3; Pages: 699-716
Economic and financial forecasts are important for business planning and government policy but are notoriously challenging. We take advantage of recent advances in individual and group judgement, and a data set of economic and financial forecasts com
Publikováno v:
Risk Analysis. 42:1235-1254
The development and use of probabilistic models, particularly Bayesian networks (BN), to support risk-based decision making is well established. Striking an efficient balance between satisfying model complexity and ease of development requires contin
Autor:
Keith L. McDougall, Ary A. Hoffmann, John W. Morgan, Sonya R. Geange, Rachel A. Slatyer, Adrienne B. Nicotra, Kate D. L. Umbers, James S. Camac, Susanna Venn, Peter A. Vesk, Anca M. Hanea
Publikováno v:
Global Change Biology
Conservation managers are under increasing pressure to make decisions about the allocation of finite resources to protect biodiversity under a changing climate. However, the impacts of climate and global change drivers on species are outpacing our ca
Publikováno v:
Risk Analysis. 42:1196-1234
Structured expert judgment (SEJ) is a method for obtaining estimates of uncertain quantities from groups of experts in a structured way designed to minimize the pervasive cognitive frailties of unstructured approaches. When the number of quantities r
Publikováno v:
Risk analysis : an official publication of the Society for Risk AnalysisREFERENCES. 42(6)