Difference between revisions of "FND-STA-Bayes theorem"

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<div style="padding:5px; border:1px solid #000000; background-color:#f2fafa; font-size:300%; font-weight:400; color: #000000; width:100%;">
 
Bayes' theorem
 
Bayes' theorem
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<div style="padding:5px; margin-top:20px; margin-bottom:10px; background-color:#f2fafa; font-size:30%; font-weight:200; color: #000000; ">
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(Bayes theorem; motivation; interpretation; applications)
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<div class="keywords">
 
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<b>Keywords:</b>&nbsp;
 
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Bayes theorem; motivation; interpretation; applications
 
 
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__TOC__
 
  
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<div style="font-size:118%;">
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<b>Abstract:</b><br />
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== Abstract ==
 
 
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<section begin=abstract />
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<!-- included from "./components/FND-STA-Bayes_theorem.components.txt", section: "abstract" -->
 
 
...
 
...
 
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<section end=abstract />
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<!-- ============================  -->
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<hr>
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<table>
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== This unit ... ==
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<tr>
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=== Prerequisites ===
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<td style="padding:10px;">
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<!-- included from "./components/FND-STA-Bayes_theorem.components.txt", section: "prerequisites" -->
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<b>Objectives:</b><br />
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...
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You need to complete the following units before beginning this one:
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<b>Outcomes:</b><br />
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...
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<!-- ============================ -->
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<hr>
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<b>Deliverables:</b><br />
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<section begin=deliverables />
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<li><b>Time management</b>: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit.</li>
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<li><b>Journal</b>: Document your progress in your [[FND-Journal|Course Journal]]. Some tasks may ask you to include specific items in your journal. Don't overlook these.</li>
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<li><b>Insights</b>: If you find something particularly noteworthy about this unit, make a note in your [[ABC-Insights|'''insights!''' page]].</li>
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<section end=deliverables />
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<!-- ============================  -->
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<hr>
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<section begin=prerequisites />
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<b>Prerequisites:</b><br />
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This unit builds on material covered in the following prerequisite units:<br />
 
*[[FND-STA-Probability|FND-STA-Probability (Probability)]]
 
*[[FND-STA-Probability|FND-STA-Probability (Probability)]]
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=== Objectives ===
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=== Outcomes ===
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...
 
  
 
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=== Deliverables ===
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=== Evaluation ===
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<b>Evaluation: NA</b><br />
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<div style="margin-left: 2rem;">This unit is not evaluated for course marks.</div>
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*<b>Time management</b>: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit.
 
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*<b>Journal</b>: Document your progress in your [[FND-Journal|Course Journal]]. Some tasks may ask you to include specific items in your journal. Don't overlook these.
 
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<!-- included from "./data/ABC-unit_components.txt", section: "deliverables-insights" -->
 
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*<b>Insights</b>: If you find something particularly noteworthy about this unit, make a note in your [[ABC-Insights|'''insights!''' page]].
 
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== Contents ==
 
== Contents ==
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== Further reading, links and resources ==
 
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<!-- {{#pmid: 19957275}} -->
 
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<!-- <div class="reference-box">[http://www.ncbi.nlm.nih.gov]</div> -->
 
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== Notes ==
 
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== Self-evaluation ==
 
== Self-evaluation ==
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== Further reading, links and resources ==
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<!-- <div class="reference-box">[http://www.ncbi.nlm.nih.gov]</div> -->
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== Notes ==
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<references />
  
 
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<b>If in doubt, ask!</b> If anything about this learning unit is not clear to you, do not proceed blindly but ask for clarification. Post your question on the course mailing list: others are likely to have similar problems. Or send an email to your instructor.
 
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*0.1 First stub
 
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Latest revision as of 09:28, 25 September 2020

Bayes' theorem

(Bayes theorem; motivation; interpretation; applications)


 


Abstract:

...

Objectives:
...

Outcomes:
...

Deliverables:

  • Time management: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit.
  • Journal: Document your progress in your Course Journal. Some tasks may ask you to include specific items in your journal. Don't overlook these.
  • Insights: If you find something particularly noteworthy about this unit, make a note in your insights! page.

    • Prerequisites:
    This unit builds on material covered in the following prerequisite units:


     


    Sorry!

    This page is only a stub; it is here as a placeholder to establish the logical framework of the site but there is no significant content as yet. Do not work with this material until it is updated to "live" status.


     



     


    Evaluation

    Evaluation: NA

    This unit is not evaluated for course marks.

    Contents

    Task:

    Self-evaluation

    Further reading, links and resources

    Notes


     


    About ...
     
    Author:

    Boris Steipe <boris.steipe@utoronto.ca>

    Created:

    2017-08-05

    Modified:

    2017-08-05

    Version:

    0.1

    Version history:

    • 0.1 First stub

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    Sorry!

    This page is only a stub; it is here as a placeholder to establish the logical framework of the site but there is no significant content as yet. Do not work with this material until it is updated to "live" status.

    Retrieved from "http://steipe.biochemistry.utoronto.ca/abc/index.php?title=FND-STA-Bayes_theorem&oldid=11727"