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ctmc_lectures/_config.yml

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# logo: logo.png
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sphinx:
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config:
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myst_override_mathjax: false
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mathjax_config:
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TeX:
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Macros:
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"Exp" : ["\\operatorname{Exp}"]
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"Binomial" : ["\\operatorname{Binomial}"]
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"Poisson" : ["\\operatorname{Poisson}"]
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"BB" : ["\\mathbb{B}"]
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"EE" : ["\\mathbb{E}"]
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"PP" : ["\\mathbb{P}"]
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"RR" : ["\\mathbb{R}"]
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"NN" : ["\\mathbb{N}"]
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"ZZ" : ["\\mathbb{Z}"]
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"dD" : ["\\mathcal{D}"]
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"fF" : ["\\mathcal{F}"]
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"lL" : ["\\mathcal{L}"]
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"linop" : ["\\mathcal{L}(\\mathbb{B})"]
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"linopell" : ["\\mathcal{L}(\\ell_1)"]
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config:
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bibtex_reference_style: author_year
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mathjax_config:
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TeX:
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Macros:
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"Exp" : ["\\operatorname{Exp}"]
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"Binomial" : ["\\operatorname{Binomial}"]
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"Poisson" : ["\\operatorname{Poisson}"]
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"BB" : ["\\mathbb{B}"]
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"EE" : ["\\mathbb{E}"]
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"PP" : ["\\mathbb{P}"]
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"RR" : ["\\mathbb{R}"]
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"NN" : ["\\mathbb{N}"]
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"ZZ" : ["\\mathbb{Z}"]
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"dD" : ["\\mathcal{D}"]
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"fF" : ["\\mathcal{F}"]
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"lL" : ["\\mathcal{L}"]
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"linop" : ["\\mathcal{L}(\\mathbb{B})"]
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"linopell" : ["\\mathcal{L}(\\ell_1)"]
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extra_extensions:
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- sphinx_proof
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extra_extensions:
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- sphinx_proof
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execute:
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execute_notebooks: cache
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execute_notebooks: cache
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latex:
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latex_engine: "xelatex"
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latex_documents:
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targetname: book.tex
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latex_engine: "xelatex"
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latex_documents:
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targetname: book.tex
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bibtex_bibfiles:
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- references.bib

ctmc_lectures/_toc.yml

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- file: intro
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format: jb-book
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root: intro
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chapters:
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- file: memoryless
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- file: poisson
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- file: markov_prop

ctmc_lectures/intro.md

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**Authors**: [Thomas J. Sargent](http://www.tomsargent.com/) and [John
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Stachurski](https://johnstachurski.net/)
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This lecture series provides a short introduction to the
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fascinating field of continuous time Markov chains. It will, in time, be
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integrated into our [QuantEcon lectures](https://quantecon.org/python-lectures/).
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Focus is shared between theory, applications and computation. Mathematical
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ideas are combined with computer code to help clarify and build intuition, as
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well as to bridge the gap between theory and applications.
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This lecture series provides a short introduction to the field of continuous
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time Markov chains. Focus is shared between theory, applications and
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computation. Mathematical ideas are combined with computer code to help
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clarify and build intuition, as well as to bridge the gap between theory and
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applications.
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The presentation is relatively rigorous but the aim is towards applications
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rather than mathematical curiosities (which are plentiful, if one starts to
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look). Applications are mainly drawn from economics and operations research.
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look). Applications are drawn from economics, finance and operations
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research.
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```{admonition} Solved exercises

ctmc_lectures/zreferences.md

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## References
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```{bibliography} references.bib
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```{bibliography}
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```

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