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Modelling the distribution of plant‐associated microbes with species distribution models

Journal of Ecology, EarlyView.
There are numerous challenges and open questions related to modelling the distribution of plant‐associated microbes. In this article, we present a conceptual framework for predictive modelling of the distribution of plant‐associated microbiota and apply this framework to a case study demonstrating how incorporating host information can improve the ...
Zihui Wang, Sarah Piché‐Choquette, Jocelyn Lauzon, Sarah Ishak, Steven W. Kembel   +4 more
wiley   +1 more source

Modeling of Learning Processes Using Continuous-Time Markov Chain for Virtual-Reality-Based Surgical Training in Laparoscopic Surgery. [PDF]

IEEE Trans Learn Technol
Lee S, Shetty AS, Cavuoto L.
europepmc   +1 more source

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Markov Chain Monte Carlo in Practice.

Annual Review of Public Health, 2021
Markov chain Monte Carlo (MCMC) is an essential set of tools for estimating features of probability distributions commonly encountered in modern applications.
Galin L. Jones, Qian Qin
semanticscholar   +1 more source

Coverage-Based Greybox Fuzzing as Markov Chain

IEEE Transactions on Software Engineering, 2016
Coverage-based Greybox Fuzzing (CGF) is a random testing approach that requires no program analysis. A new test is generated by slightly mutating a seed input.
Marcel Böhme, Van-Thuan Pham, Abhik Roychoudhury   +2 more
semanticscholar   +1 more source

Reversible jump Markov chain Monte Carlo computation and Bayesian model determination

, 1995
Markov chain Monte Carlo methods for Bayesian computation have until recently been restricted to problems where the joint distribution of all variables has a density with respect to some fixed standard underlying measure.
P. Green
semanticscholar   +1 more source

Markov Chain Monte Carlo in Practice

, 1997
INTRODUCING MARKOV CHAIN MONTE CARLO Introduction The Problem Markov Chain Monte Carlo Implementation Discussion HEPATITIS B: A CASE STUDY IN MCMC METHODS Introduction Hepatitis B Immunization Modelling Fitting a Model Using Gibbs Sampling Model ...
W. Gilks, S. Richardson, D. Spiegelhalter   +2 more
semanticscholar   +1 more source

A Novel Estimation Method for the State of Health of Lithium-Ion Battery Using Prior Knowledge-Based Neural Network and Markov Chain

IEEE transactions on industrial electronics (1982. Print), 2019
The state of health (SOH) of lithium-ion batteries (LIBs) is a critical parameter of the battery management system. Because of the complex internal electrochemical properties of LIBs and uncertain external working environment, it is difficult to achieve ...
Houde Dai, Guangcai Zhao, Mingqiang Lin, Ji Wu, Gengfeng Zheng   +4 more
semanticscholar   +1 more source