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#1
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I have come across some material on Chapman-Kolmogorov's differential equations. I don't understand why we have a forward AND a backward kolmogorov equation if the end product of the calculation is the same. What condition do I have to consider before deciding which eqn to us, forward eqn or the backward eqn? I am also a very confused about the time line for both backward and forward eqn, ie. datas that needs to be known before I can use either of the equations.
Thank you in advance for your explanation! |
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#3
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that sounds very familiar...what exam is that for?
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#4
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The material is for the section of Markov jump processes...I find the whole course of Stochastic Modelling extremely difficult! Any ideas? I wish I am bright to be able to understand the whole modelling concept but I am just born to be stupid.
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#5
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I took a quick look-see at "Introduction to Probability Models". Chapman-Kolmogorov equations are introduced in section 4.2, but I don't any mention of Forward/Backward equations. These are used in Chapter 6, however, but Chapter 6 is on continuous Markov chains, which aren't on the syllabus.
I follow Homer Simpson's philosophy when it comes to these exams: if something is hard, it probably isn't worth doing. |
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#6
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But continous markov jump processes include jumps!
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#7
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This is the problem I have found with Course 3. In the past, there HAVE been questions on the exam directly related to material in Ch. 6 of Probability Models. I don't have specific examples in front of me, but if I remember correctly, 2 previous exams have had question covering material from Ch.6. Neither question was thrown out.
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#8
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Exactly, that's why I worry about this and it seems that it would be useful in real life as well, I think do to the actual calculations.
Looks like this is a difficult question, the more I read about this and subsequent chapters the more I realised I will not be able to pass course 3! |
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#9
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Quote:
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