Distance functions for stochastic simulations in R











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I have been using approximate Bayesian computation to parameterize deterministic models. However now I am using stochastic models (Tau-leap method) I don't know how to use these data in distance functions. For example if I have a data point at time t=12 and my stochastic simulation has two points which are at times 11.82 and 12.56 how would I efficiently find the time at t=12 for the distance function?



Thanks in advance,
Emma






stochastic-processes statistical-inference stochastic-analysis parameter-estimation







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    up vote
    0
    down vote

    favorite












    I have been using approximate Bayesian computation to parameterize deterministic models. However now I am using stochastic models (Tau-leap method) I don't know how to use these data in distance functions. For example if I have a data point at time t=12 and my stochastic simulation has two points which are at times 11.82 and 12.56 how would I efficiently find the time at t=12 for the distance function?



    Thanks in advance,
    Emma






    stochastic-processes statistical-inference stochastic-analysis parameter-estimation







    share|cite|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I have been using approximate Bayesian computation to parameterize deterministic models. However now I am using stochastic models (Tau-leap method) I don't know how to use these data in distance functions. For example if I have a data point at time t=12 and my stochastic simulation has two points which are at times 11.82 and 12.56 how would I efficiently find the time at t=12 for the distance function?



      Thanks in advance,
      Emma






      stochastic-processes statistical-inference stochastic-analysis parameter-estimation







      share|cite|improve this question













      I have been using approximate Bayesian computation to parameterize deterministic models. However now I am using stochastic models (Tau-leap method) I don't know how to use these data in distance functions. For example if I have a data point at time t=12 and my stochastic simulation has two points which are at times 11.82 and 12.56 how would I efficiently find the time at t=12 for the distance function?



      Thanks in advance,
      Emma






      stochastic-processes statistical-inference stochastic-analysis parameter-estimation




      stochastic-processes statistical-inference stochastic-analysis parameter-estimation






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Nov 17 at 11:54









      Emma F

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