Parameter estimation for X-ray scattering analysis with Hamiltonian Markov Chain Monte Carlo. [PDF]
Jiang Z +4 more
europepmc +1 more source
Markov Chain Monte Carlo Posterior Density Approximation for a Groove-Dimensioning Purpose
J.I. De la Rosa +3 more
openalex +2 more sources
Abstract Intranasal diamorphine (IND), approved for managing breakthrough pain in the UK, has been identified as an acceptable alternative offering effective, expedient, and less traumatic analgesia for children. However, the current dose regimen in pediatric populations relies on clinical expertise while the pharmacokinetics properties are poorly ...
Lianjin Cai +6 more
wiley +1 more source
NeuMC — A package for neural sampling for lattice field theories
We present the NeuMC software package aimed at facilitating the research on neural samplers in lattice field theories. Neural samplers based on normalizing flows are becoming increasingly popular in the context of Monte–Carlo simulations as they can ...
Piotr Białas +3 more
doaj +1 more source
Application of a Markov chain Monte Carlo method for robust quantification in chemical exchange saturation transfer magnetic resonance imaging. [PDF]
Zhao Y +6 more
europepmc +1 more source
Implementation of a Markov Chain Monte Carlo method to inorganic aerosol modeling of observations from the MCMA-2003 campaign – Part II: Model application to the CENICA, Pedregal and Santa Ana sites [PDF]
Federico San Martini +18 more
openalex +1 more source
Abstract Myelodysplastic syndromes (MDS) represent a group of bone marrow disorders involving cytopenias, hypercellular bone marrow, and dysplastic hematopoietic progenitors. MDS remains a challenge to treat due to the complex interplay between disease‐induced and treatment‐related cytopenias.
Neha Thakre +5 more
wiley +1 more source
A multilevel Bayesian Markov Chain Monte Carlo Poisson modelling of factors associated with components of antenatal care offered to pregnant women in Nigeria. [PDF]
Fagbamigbe OS +7 more
europepmc +1 more source
Modelling maximum river flow by using Bayesian Markov Chain Monte Carlo [PDF]
R Y Cheong, Darmesah Gabda
openalex +1 more source
Abstract The pharmaceutical industry has increasingly adopted model‐informed drug discovery and development (MID3) to enhance productivity in drug discovery and development. Quantitative systems pharmacology (QSP), which integrates drug action mechanisms and disease complexities to predict clinical endpoints and biomarkers is central to MID3.
Hiroaki Iwata, Ryuta Saito
wiley +1 more source

