Bayesian inference framework with MCMC

Knowledge graph centered on Bayesian inference framework with MCMC with 68 nodes and 136 connections. Top connected: Organic matter decomposition, groundwater hydrology, Ecosystem diversity, Dissolved solids concentration, Streamflow.

Method synopsis

Bayesian inference framework that applies a Markov-chain Monte Carlo (MCMC) approach to estimate noble gas recharge temperature, elevation, and excess-air parameters and the resulting environmental tracer concentrations

Synthesized from method descriptions across 2 papers using this protocol.

Papers Using This Protocol (2)

Species Studied With This Protocol

Places Where Used