How to calculate the expectation of Poisson process when its intensity is also stochastic

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How to calculate the expectation of Poisson process $N_t$ when its intensity is also stochastic? Since when intensity $lambda_t$ is non-random, then we have
$$E[dN_t] = lambda_tdt.$$
But how about the stochastic $lambda_t?$ I have no idea to calculate it. You can simply assume $lambda_t$ is a Gaussian process.










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    How to calculate the expectation of Poisson process $N_t$ when its intensity is also stochastic? Since when intensity $lambda_t$ is non-random, then we have
    $$E[dN_t] = lambda_tdt.$$
    But how about the stochastic $lambda_t?$ I have no idea to calculate it. You can simply assume $lambda_t$ is a Gaussian process.










    share|improve this question























      up vote
      2
      down vote

      favorite









      up vote
      2
      down vote

      favorite











      How to calculate the expectation of Poisson process $N_t$ when its intensity is also stochastic? Since when intensity $lambda_t$ is non-random, then we have
      $$E[dN_t] = lambda_tdt.$$
      But how about the stochastic $lambda_t?$ I have no idea to calculate it. You can simply assume $lambda_t$ is a Gaussian process.










      share|improve this question













      How to calculate the expectation of Poisson process $N_t$ when its intensity is also stochastic? Since when intensity $lambda_t$ is non-random, then we have
      $$E[dN_t] = lambda_tdt.$$
      But how about the stochastic $lambda_t?$ I have no idea to calculate it. You can simply assume $lambda_t$ is a Gaussian process.







      poisson






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      user6703592

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          You can condition on the value of $lambda_t$. So



          $E[dN_t] = E[E[dN_t|lambda_t]] = E[lambda_t dt] = E[lambda_t] dt$






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            1 Answer
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            1 Answer
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            up vote
            3
            down vote



            accepted










            You can condition on the value of $lambda_t$. So



            $E[dN_t] = E[E[dN_t|lambda_t]] = E[lambda_t dt] = E[lambda_t] dt$






            share|improve this answer








            New contributor




            Ezy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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              up vote
              3
              down vote



              accepted










              You can condition on the value of $lambda_t$. So



              $E[dN_t] = E[E[dN_t|lambda_t]] = E[lambda_t dt] = E[lambda_t] dt$






              share|improve this answer








              New contributor




              Ezy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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                up vote
                3
                down vote



                accepted







                up vote
                3
                down vote



                accepted






                You can condition on the value of $lambda_t$. So



                $E[dN_t] = E[E[dN_t|lambda_t]] = E[lambda_t dt] = E[lambda_t] dt$






                share|improve this answer








                New contributor




                Ezy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.









                You can condition on the value of $lambda_t$. So



                $E[dN_t] = E[E[dN_t|lambda_t]] = E[lambda_t dt] = E[lambda_t] dt$







                share|improve this answer








                New contributor




                Ezy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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                answered 2 hours ago









                Ezy

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