Results 171 to 180 of about 85,479 (297)

Epidemic prediction of dengue fever based on vector compartment model and Markov chain Monte Carlo method. [PDF]

BMC Bioinformatics, 2021
Lee CH, Chang K, Chen YM, Tsai JT, Chen YJ, Ho WH.   +5 more
europepmc   +1 more source

Assessing physiological, behavioral and movement responses to Suprelorin implant delivery methods in free‐ranging eastern grey kangaroos Macropus giganteus

Wildlife Biology, EarlyView.
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, Sebastien Comte, Tamara Keeley, Maquel Brandimarti, Catherine A. Herbert   +4 more
wiley   +1 more source

Characterization of Parameter Uncertainty in Global Analysis for Ultrafast Spectroscopy Using Markov Chain Monte Carlo Sampling. [PDF]

Precis Chem
Bailey-Darland S, Lancaster LS, Krueger TD, Chen C, Fang C.   +4 more
europepmc   +1 more source

Sensitivity of non-conditional climatic variables to climate-change deep uncertainty using Markov Chain Monte Carlo simulation. [PDF]

Sci Rep, 2022
Zolghadr-Asli B, Bozorg-Haddad O, Enayati M, Loáiciga HA.   +3 more
europepmc   +1 more source

Integrating multiple surveys using state–space models improves inference of population trends for Illinois furbearers

Wildlife Biology, EarlyView.
Long‐term population monitoring is fundamental to wildlife population management. Furbearer populations are often surveyed using multiple methods, but many estimates of their abundance, especially abundance indices, do not account for detection error, and lead to conflicting interpretations of population trends.
Lauren C. Scopel, Maximilian L. Allen, Thomas J. Benson, Craig A. Miller, Kirk W. Stodola   +4 more
wiley   +1 more source

A Fully Bayesian Approach to Adult Skeletal Age Estimation: Multivariate Latent Trait Modeling With Markov Chain Monte Carlo Sampling. [PDF]

Am J Biol Anthropol
Müller-Scheeßel N, Fuchs K, Rinne C.
europepmc   +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]

IEEE Trans Med Imaging, 2022
Li K, Zhou W, Li H, Anastasio MA.
europepmc   +1 more source

The performance of drones and artificial intelligence for monitoring sage‐grouse at leks

Wildlife Biology, EarlyView.
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, Jason Hanlon, Ilya Buzytsky   +2 more
wiley   +1 more source

New Surveillance Metrics for Alerting Community-Acquired Outbreaks of Emerging SARS-CoV-2 Variants Using Imported Case Data: Bayesian Markov Chain Monte Carlo Approach. [PDF]

JMIR Public Health Surveill, 2022
Yen AM, Chen TH, Chang WJ, Lin TY, Jen GH, Hsu CY, Wang ST, Dang H, Chen SL.   +8 more
europepmc   +1 more source

Particle Filters for Markov Switching Stochastic Volatility Models [PDF]

This paper proposes an auxiliary particle filter algorithm for inference in regime switching stochastic volatility models in which the regime state is governed by a first-order Markov chain.
Boda Kang, Yun Bao, Carl Chiarella
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