The ruffed grouse Bonasa umbellus is a species of conservation concern that has declined across most of its range. At the southeastern trailing edge of the range in Georgia, grouse are restricted to elevations 600 m a.s.l. and abundance is relatively low.
Clayton D. Delancey +5 more
wiley +1 more source
A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods. [PDF]
Li K, Zhou W, Li H, Anastasio MA.
europepmc +1 more source
Field test of assumptions for using line transect distance sampling on rock ptarmigan
Reliable population estimates are essential for the management of harvested species. Line transect distance sampling using pointing dogs is an established survey method for willow ptarmigan and has also been proposed for the monitoring of rock ptarmigan.
Marius Kjønsberg +3 more
wiley +1 more source
Deconvolution of High-Dimensional Ion Mobility Data Using Reversible-Jump Markov Chain Monte Carlo. [PDF]
Riedel J +3 more
europepmc +1 more source
Overabundant populations of eastern grey kangaroos Macropus giganteus in peri‐urban areas pose ecological and social challenges. Current management strategies are often hindered by animal welfare and logistical concerns. This study aimed to assess stress responses of kangaroos to two contraceptive delivery methods.
Fabiola R. O. Silva +4 more
wiley +1 more source
AEOLUS: A MARKOV CHAIN MONTE CARLO CODE FOR MAPPING ULTRACOOL ATMOSPHERES. AN APPLICATION ON JUPITER AND BROWN DWARFHSTLIGHT CURVES [PDF]
Theodora Karalidi +4 more
openalex +1 more source
The performance of drones and artificial intelligence for monitoring sage‐grouse at leks
Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew +2 more
wiley +1 more source
The Learning Rate Is Not a Constant: Sandwich-Adjusted Markov Chain Monte Carlo Simulation. [PDF]
Vrugt JA, Diks CGH.
europepmc +1 more source
Prediction of dengue fever outbreaks using climate variability and Markov chain Monte Carlo techniques in a stochastic susceptible-infected-removed model. [PDF]
Martheswaran TK +4 more
europepmc +1 more source

