Results 71 to 80 of about 44,986 (305)
Cougar density on the Oregon Coast: Using dead recovery modeling in an open population
The Journal of Wildlife Management, EarlyView.The primary objective of this study was to determine cougar density in western Oregon. Our results demonstrate that integrating DNA collected via bio‐darting, mandatory hunter‐harvest check‐ins, and GPS collar data into the OPCR2 is a reliable method for estimating cougar densities in densely forested coastal systems.
Jason A. Kirchner +4 more
wiley +1 more source
Bayesian Computation Methods for Inference in Stochastic Kinetic Models
Complexity, 2019 In this paper we investigate Monte Carlo methods for the approximation of the posterior probability distributions in stochastic kinetic models (SKMs).
Eugenia Koblents +2 more
doaj +1 more source
MCMC-Net: accelerating Markov Chain Monte Carlo with neural networks for inverse problems
Inverse ProblemsAbstract In many computational problems, using the Markov Chain Monte Carlo (MCMC) can be prohibitively time-consuming. We propose MCMC-Net, a simple yet efficient way to accelerate MCMC via neural networks. The key idea of our approach is to substitute the true likelihood function of the MCMC method with a neural operator based ...
Sudeb Majee +3 more
openaire +2 more sources
Movement Disorders, EarlyView.Abstract Background The identification of Parkinson's disease (PD) subtypes is crucial for predicting the disease course and designing personalized therapeutic strategies. Objectives The aim of the study was to characterize the heterogeneity of the spatiotemporal evolutionary patterns of striatal dopamine depletion and cerebral hypoperfusion in PD ...
Yeeun Sun +9 more
wiley +1 more source
MCMC approach to modelling queuing systems
Lietuvos Matematikos Rinkinys, 2010 The paper presents some numerical results on modelling a M/G/1/∞ queuing system using Markov chain Monte Carlo (MCMC). This particular technique was chosen in order to draw samples from the service time distribution from which it is assumed complicated ...
Mantas Landauskas +1 more
doaj +1 more source
Journal of Physics: Conference Series, 2019 Abstract The determination of membership in open clusters will be more difficult than determination membership of the globular clusters. This is due to the location of open clusters which located on the galactic disk. From that location, when observing open clusters, it will be observed foreground and background stars also. Determination
Y A Hidayat +3 more
openaire +1 more source
Mathematical Methods in the Applied Sciences, EarlyView.We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner +7 more
wiley +1 more source
glabcmcmc: a Python package for ABC-MCMC with local and global moves
Statistical Theory and Related FieldsWe introduce a new Python package glabcmcmc, which implements an approximate Bayesian computation Markov chain Monte Carlo (ABC-MCMC) algorithm that combines global and local proposal strategies to address the limitations of standard ABC-MCMC.
Xuefei Cao, Shijia Wang, Yongdao Zhou
doaj +1 more source