Results 161 to 170 of about 66,786 (305)

MCMC running scripts

open access: yes
<p>Running scripts generated to produce MCMC. The jupyter notebook to generate them can be found at <a href="https://gitlab.euclid-sgs.uk/pf-ist-likelihood/likelihood-mcmc-generator">IST Euclid Gitlab (likelihood-mcmc-generator)</a></
Cañas-Herrera, Guadalupe
core   +1 more source

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

open access: yesWildlife 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   +2 more
wiley   +1 more source

CS281B/Stat241B: Advanced Topics in Learning Decision Making

open access: yes, 2007
Introduction to Kernel Methods Lecturer: Michael I. Jordan Scribes: Andrea Frome 1 Reversible Jump MCMC Returning to the mixture model at the end of last lecture (Figure 1), we could try to find P (k|y) by running the Gibbs sampler. This would require
Reversible Jump Mcmc
core  

Estimating red deer Cervus elaphus population density using drones in a steep and rugged terrain

open access: yesWildlife Biology, EarlyView.
Precise and accurate information about population density, crucial for wildlife management, is difficult to obtain for elusive species living in dense forests or steep and inaccessible terrain. Using unmanned aerial vehicles (UAVs), we developed a method for obtaining absolute population estimates of ungulates living in steep, rugged, and partly ...
Julie Bommerlund   +3 more
wiley   +1 more source

Density estimators through Zero Variance Markov Chain Monte Carlo [PDF]

open access: yes
A Markov Chain Monte Carlo method is proposed for the pointwise evaluation of a density whose normalizing constant is not known. This method was introduced in the physics literature by Assaraf et al (2007).
Daniele Imparato, Antonietta Mira
core  

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

open access: yesWildlife 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   +4 more
wiley   +1 more source

Genetic population structure of red foxes Vulpes vulpes across a rural landscape: insights into population connectivity and spatial patterns

open access: yesWildlife Biology, EarlyView.
Human activities have shaped and are continuing to influence terrestrial landscapes, creating heterogenous, and often, fragmented landscapes. Generalist species, like the red fox Vulpes vulpes, show high flexibility in habitat use, and occur across the heterogeneous, anthropogenic landscapes of central Europe.
Lukas G. Scholz   +10 more
wiley   +1 more source

Estimating crippling loss from hunting with multistate models: a case study on northern bobwhites

open access: yesWildlife 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   +10 more
wiley   +1 more source

Feathers and flu: identifying data gaps in avian influenza host dynamics to prioritize wildlife conservation Plumas y gripe: identificación de datos faltantes en la dinámica de hospedadores de la influenza aviar para priorizar la conservación de la vida silvestre

open access: yesWildlife Monographs, EarlyView.
We describe the host response continuum for highly pathogenic avian influenza viruses (HPAIV), including the continuum of host responses to HPAIV infection and exposure based on the primary axis of host competence, ability to infect other hosts, and host vulnerability.
Johanna A. Harvey   +9 more
wiley   +1 more source

VARIATIONAL MCMC

open access: yes, 2001
We propose a new class of learning algorithms that combines variational approximation and Markov chain Monte Carlo (MCMC) simulation. One of these algorithms is a mixture of two MCMC kernels: a random walk Metropolis kernel and a block Metropolis ...
Nando de Freitas, Stuart Russell, et al.
core  

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