Results 51 to 60 of about 85,479 (297)

Monte Carlo methods

EPJ Web of Conferences, 2013
Bayesian inference often requires integrating some function with respect to a posterior distribution. Monte Carlo methods are sampling algorithms that allow to compute these integrals numerically when they are not analytically tractable.
Bardenet Rémi
doaj   +1 more source

SMCTC : sequential Monte Carlo in C++ [PDF]

, 2009
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.
Johansen, Adam M., Adam M. Johansen
core   +1 more source

Alzheimer's Disease Co‐Pathology and Cognitive Impairment in Amyotrophic Lateral Sclerosis

Annals of Neurology, EarlyView.
Objectives Amyotrophic lateral sclerosis (ALS) and Alzheimer's disease (AD) share neuropathological features, including tau, amyloid, and TDP‐43 pathology. This study investigated whether AD‐related pathological changes are associated with cognitive impairment ALS. Methods Cerebrospinal fluid (CSF total‐tau, phosphorylated‐tau, beta‐amyloid) and plasma
Elisabeth Kasper, Annaliis Lehto, Alexandra Jürs, Nina Nordmann, Oliver Peters, Julian Hellmann, Josef Priller, Eike Jakob Spruth, Gabor C. Petzold, Ina Voigt, Patrick Weydt, Sarah Bernsen, Elisabeth Dinter, Björn Falkenburger, René Günther, Emrah Düzel, Wenzel Glanz, Matthis Synofzik, Lukas Beichert, Annika Spottke, Michael Wagner, Frederic Brosseron, Matthias C. Schmid, Annett Halle, Jochen Herms, Anja Schneider, Stefan Teipel, Johannes Prudlo, Manuela Neumann, Andreas Hermann   +29 more
wiley   +1 more source

The Whale Optimization Algorithm and Markov Chain Monte Carlo-Based Approach for Optimizing Teacher Professional Development in Creative Learning Design with Technology

Algorithms
In this article, we present a hybrid optimization methodology using the whale optimization algorithm and Markov Chain Monte Carlo sampling technique in a teachers’ training development program regarding creativity in technology-enhanced learning design ...
Kalliopi Rigopouli, Dimitrios Kotsifakos, Yannis Psaromiligkos   +2 more
doaj   +1 more source

Phase space sampling with Markov Chain Monte Carlo methods [PDF]

EPJ Web of Conferences
The efficient exploration of the high-dimensional and multi-modal phase space of scattering events at high-energy particle colliders presents a severe computational challenge. We here discuss the application of Markov Chain Monte Carlo (MCMC) techniques,
La Cagnina Salvatore, Grunwald Cornelius, Janßen Timo, Kröninger Kevin, Schumann Steffen   +4 more
doaj   +1 more source

On the containment condition for adaptive Markov Chain Monte Carlo algorithms [PDF]

, 2009
This paper considers ergodicity properties of certain adaptive Markov chain Monte Carlo (MCMC) algorithms for multidimensional target distributions, in particular Adaptive Metropolis and Adaptive Metropolis-within-Gibbs.
Rosenthal, Jeffrey S. (Jeffrey Seth), Bai, Yan, Roberts, Gareth O.   +2 more
core  

The random walk Metropolis : linking theory and practice through a case study. [PDF]

, 2009
The random walk Metropolis (RWM) is one of the most common Markov Chain Monte Carlo algorithms in practical use today. Its theoretical properties have been extensively explored for certain classes of target, and a number of results with important ...
Fearnhead, Paul, Chris Sherlock, Sherlock, Chris, Paul Fearnhead, Roberts, Gareth, Roberts, Gareth O., Gareth O. Roberts   +6 more
core   +1 more source

tanggle: An R package for the visualization of phylogenetic networks

Applications in Plant Sciences, EarlyView.
Abstract Premise Phylogenetic trees depict evolutionary relationships among taxa. However, they are strictly bifurcating structures that do not take into account several types of evolutionary events such as horizontal gene transfer, hybridization, or introgression. Although the development of new methods in phylogenetic networks has recently increased,
Klaus Schliep, Marta Vidal‐García, Leann Biancani, L. Francisco Henao‐Díaz, Eren Ada, Joshua Justison, Claudia Solís‐Lemus   +6 more
wiley   +1 more source

Computing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts models [PDF]

, 2013
This letter considers the problem of computing the Cramer–Rao bound for the parameters of a Markov random field. Computation of the exact bound is not feasible for most fields of interest because their likelihoods are intractable and have intractable ...
Batatia, Hadj, Pereyra, Marcelo Alejandro, Hadj Batatia, Nicolas Dobigeon, Jean-yves Tourneret, Dobigeon, Nicolas, Tourneret, Jean-Yves, Marcelo Pereyra, Pereyra, Marcelo   +8 more
core   +1 more source

An ontological morphological phylogenetic framework for living and extinct ray‐finned fishes (Actinopterygii)

The Anatomical Record, EarlyView.
Abstract The ray‐finned fishes include one out of every two species of living vertebrates on Earth and have an abundant fossil record stretching 380 million years into the past. The division of systematic knowledge of ray‐finned fishes between paleontologists working on extinct animals and neontologists studying extant species has obscured the ...
Jack Stack
wiley   +1 more source