Markov Chains and Monte Carlo Methods
Markov Chains and Monte Carlo Methods is a topic indexed in ScholarIQ from OpenAlex.
What is known about Markov Chains and Monte Carlo Methods?
This cluster of papers focuses on the application of Bayesian Monte Carlo methods, such as Markov Chain Monte Carlo (MCMC), Approximate Bayesian Computation, and Hamiltonian Monte Carlo, in scientific inference for inverse problems, model selection, and statistical estimation. It also explores adaptive MCMC algorithms and stochastic gradient Langevin dynamics for efficient parameter inference and approximation algorithms.
How many works does Markov Chains and Monte Carlo Methods have?
Markov Chains and Monte Carlo Methods has 34,389 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Markov Chains and Monte Carlo Methods have?
Markov Chains and Monte Carlo Methods has 436,706 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Markov Chains and Monte Carlo Methods?
The OpenAlex for Markov Chains and Monte Carlo Methods is on the source record.