sdunbarne Goto Github PK
Name: Steven R. Dunbar
Type: User
Company: University of Nebraska-Lincoln
Bio: Mathematician, Emacs enthusiast, I like R, Octave, learning Julia
Location: Lincoln, NE
Name: Steven R. Dunbar
Type: User
Company: University of Nebraska-Lincoln
Bio: Mathematician, Emacs enthusiast, I like R, Octave, learning Julia
Location: Lincoln, NE
Section 11 of tentative book on Markov chains, with application of Monte Carlo Markov chain methods to the Ising model, image reconstruction with Gibbs sampling, and Bayesian hierarchical statistical models.
Section 5 of tentative book on theory and examples of Markov Chains
Section 9 of tentative book on Markov chains, modeling card-shuffling as a Markov chain leading to mixing.
Section 15.5 of proposed book on Markov chains. This section examines a general approach to convergence of Markov chains. The section has examples for finite-state chains, and continuous state spaces and a detailed look at random walk on the hypercube.
Section 8 of a tentative book on Markov chains, modeling epidemics as Markov chains with the Greenwood and Reed-Frost formulations.
Section 14 of a tentative book on Markov chains with detailed analysis of eigenvalues of Markov chains of random walks.
Section 7 of a tentative book with four board games, of increasing size, modeled as Markov chains.
My solutions to the on-line version of the work-in-progress 3rd edition of /ggplot2: elegant graphics for data analysis/ by Hadley Wickham, Danielle Navarro and Thomas Lin Pedersen, as of about March 2021.
Section 12 of a tentative book on Markov chains with examples of application of Gibbs sampling
Section 15.2 of a proposed book on Markov chains. \emph{Coupling} means the joint construction of two or more random variables or processes to deduce properties of the individual variables or gain insight into distributional similarities or relations between them.
Section 11 of tentative book on Markov chains, Description of Ising Model and Metropolis, Glauber Algorithms
Tentative Section 4.7 of book on Markov chains
This section is a survey of basic concepts and facts about Markov processes and Markov chains.
Python scripts for the book "Mathematical Modleing in Economics and FInance"
R scripts for the book Mathematical Modeling in Economics and Finance
Section 6 of a tentative book, detailing the board game of Monopoly modeled as a Markov chain.
Section 10 of tentative book on Markov chains, with motivation for the Metropolis and Metropolis-Hastings algorithms for Markov Chain Monte Carlo, along with some theory.
Raw election results for Nebraska elections
Official results files from Nebraska jurisdictions
Section 17 of a tentative book on Markov chains. This section derives improved statistical tests to detect that a given state from a stationary distribution of a reversible Markov chain is unusual.
Tentative Section 4.5 of proposed book on Markov Chains and Theory
Personal webpage for Steve Dunbar with information, writing, talks, research, code, and so on.
Section 16 of a tentative book on Markov chains. This section derives statistical tests to detect that a given state from a stationary distribution of a reversible Markov chain is unusual.
Section 15 of proposed book on Markov chains. This section examines the spectral approach to convergence of Markov chains. The focus is on two-component Gibbs samplers, with applications to the Beta/Binomial and Poisson/Gamma Gibbs samplers.
Section 5.5 of potnetial book on Markov chains and applications
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