Results 181 to 190 of about 85,479 (297)

Development of optimized methods for unbiased dusky grouse population monitoring using real and simulated data

Wildlife Biology, EarlyView.
Rigorous state‐wide monitoring programs are lacking for dusky grouse Dendragapus obscurus, a North American species of forest grouse with relatively low detectability that is found in coniferous and mountainous areas in the western United States and Canada.
Elizabeth A. Leipold, Claire Gower, Lance B. McNew   +2 more
wiley   +1 more source

The Learning Rate Is Not a Constant: Sandwich-Adjusted Markov Chain Monte Carlo Simulation. [PDF]

Entropy (Basel)
Vrugt JA, Diks CGH.
europepmc   +1 more source

SMCTC: Sequential Monte Carlo in C++

Sequential Monte Carlo methods are a very general class of Monte Carlo methods for sampling from sequences of distributions. Simple examples of these algorithms are used very widely in the tracking and signal processing literature.
Adam M. Johansen
core  

Abundance and occupancy trends of sooty grouse in western Oregon: determining best modeling practices by comparing observed and simulated data

Wildlife Biology, EarlyView.
Sooty grouse Dendragapus fuliginosus are large game birds that occupy montane forests in the Pacific Northwest, USA. These forests have been altered by human activities, which have been shown to have both positive and negative impacts on local populations.
Sarah J. K. Frey, Kelly M. Walton, Mikal L. Cline, Lindsey E. Sanders, Jonathan B. Dinkins   +4 more
wiley   +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]

Sci Rep, 2022
Martheswaran TK, Hamdi H, Al-Barty A, Zaid AA, Das B.   +4 more
europepmc   +1 more source

A MATLAB Package for Markov Chain Monte Carlo with a Multi-Unidimensional IRT Model

Unidimensional item response theory (IRT) models are useful when each item is designed to measure some facet of a unified latent trait. In practical applications, items are not necessarily measuring the same underlying trait, and hence the more general ...
Yanyan Sheng
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Estimating crippling loss from hunting with multistate models: a case study on northern bobwhites

Wildlife Biology, EarlyView.
Hunting as a recreational pursuit provides an important ecosystem service worldwide. Harvest management plays a vital role in regulating wildlife take to ensure long‐term population sustainability and meet value‐based objectives (e.g. hunter satisfaction). However, managers rarely have complete control or observability of harvest mortality.
Amanda S. Cramer, Justin A. Rectenwald, William B. Lewis, Michael A. Hazelbaker, Alexander L. Jackson, Holly K. Lott, Geoff Beane, D. Clay Sisson, Melanie R. Kunkel, Nicole M. Nemeth, James A. Martin   +10 more
wiley   +1 more source

Bayesian design and analysis of two-arm cluster randomised trials using assurance: Extension to binary outcomes and comparison of Markov chain Monte Carlo and Integrated Nested Laplace Approximations. [PDF]

Clin Trials
Aloufi A, Wilson KJ, Wilson N, Shaw L, Price C.   +4 more
europepmc   +1 more source

Markov chain Monte Carlo Gibbs sampler approach for estimating haplotype frequencies among multiple malaria infected human blood samples. [PDF]

Malar J, 2021
Ken-Dror G, Sharma P.
europepmc   +1 more source

Bayesian Inference for PCFGs via Markov Chain Monte Carlo

, 2007
This paper presents two Markov chain Monte Carlo (MCMC) algorithms for Bayesian inference of probabilistic context free grammars (PCFGs) from terminal strings, providing an alternative to maximum-likelihood estimation using Inside-Outside algorithm.
Johnson, Mark, Griffiths, Thomas, Goldwater, Sharon; id_orcid   +2 more
core