Results 271 to 280 of about 112,632 (333)
Community Dentistry and Oral Epidemiology, EarlyView.ABSTRACT Background International economic evaluations have not found convincing evidence that the application of fluoride varnish (FV) in preschool children is a cost‐effective anti‐caries measure, and there is a lack of economic evaluations of FV in the Brazilian context.
Izabel Monteiro Dhyppolito +3 more
wiley +1 more source
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach
, 2014 Rémi Bardenet +2 more
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Conservation Biology, EarlyView.Abstract Measuring area‐based conservation outcomes in tropical forests is challenging due to cryptic human disturbances (e.g., hunting). As a result, comparative studies of management strategies providing quantitative outcomes remain scarce, especially in the Neotropics.
Lucy Perera‐Romero +5 more
wiley +1 more source
A link between increased temperature and avian body condition in a logged tropical forest
Conservation Biology, EarlyView.Abstract The combined effects of anthropogenic disturbances, such as logging and climate change, remain poorly understood; yet, they are the main threats to tropical biodiversity. Most tropical African countries lack long‐term climate data, so climate impacts on biodiversity cannot be assessed.
Moreen Uwimbabazi +7 more
wiley +1 more source
Environmental DNA for invasive rat surveillance and biosecurity on islands
Conservation Science and Practice, EarlyView.We collected aquatic eDNA samples from beach and lake sites on three atoll islands with different invasion statuses before and after a rat eradication operation. Two dozen eDNA samples can confirm with ≥95% probability the presence of invasive rats prior to any management intervention. However, following the eradication operation, neither targeted eDNA
Sebastian Steibl +4 more
wiley +1 more source
MARKOV CHAIN MONTE CARLO METHODS FOR REGRESSION SPLINES WITH A PENALIZED ACCEPTANCE RATIO
, 2006 David Keith Stamps
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Markov Chain Monte Carlo in Practice.
Annual Review of Public Health, 2021Markov chain Monte Carlo (MCMC) is an essential set of tools for estimating features of probability distributions commonly encountered in modern applications.
Galin L. Jones, Qian Qin
semanticscholar +1 more source
WiSt - Wirtschaftswissenschaftliches Studium, 2015
This chapter explains how to implement Bayesian analyses using the Markov chain Monte Carlo (MCMC) algorithm, a set of methods for Bayesian analysis made popular by the seminal paper of Gelfand and Smith (1990). It begins with an explanation of MCMC with a heuristic, high-level treatment of the algorithm, describing its operation in simple terms with a
N. Thompson Hobbs, Mevin B. Hooten
+5 more sources
This chapter explains how to implement Bayesian analyses using the Markov chain Monte Carlo (MCMC) algorithm, a set of methods for Bayesian analysis made popular by the seminal paper of Gelfand and Smith (1990). It begins with an explanation of MCMC with a heuristic, high-level treatment of the algorithm, describing its operation in simple terms with a
N. Thompson Hobbs, Mevin B. Hooten
+5 more sources
Quantum-enhanced Markov chain Monte Carlo
Nature, 2022A quantum algorithm is introduced that performs Markov chain Monte Carlo to sample from the Boltzmann distribution of Ising models, demonstrating, through experiments and simulations, a polynomial speedup compared with classical alternatives.
David Layden +6 more
semanticscholar +1 more source
3D Gaussian Splatting as Markov Chain Monte Carlo
Neural Information Processing SystemsWhile 3D Gaussian Splatting has recently become popular for neural rendering, current methods rely on carefully engineered cloning and splitting strategies for placing Gaussians, which can lead to poor-quality renderings, and reliance on a good ...
Shakiba Kheradmand +8 more
semanticscholar +1 more source