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Terminology Filtered probability space


Sorting through “algebra of random variables,” vs. “probability space,” etcterminology of differencesThe difference between “identically distributed” and having “common probability space”Filtered Probability Space UnderstandingImpossible Events, Probability Zero Events, Change of Sample Space, Invariant, Canonical Sample Space?Probability measure, probability density function or probability event ? Are they different?How does the sample space remain constant in filteredIntuition behind a market uncertainty represented by a filtered complete probability space?A setup of filtered probability setup in canonical spaceWhat is the difference between a probability mass function and discrete probability distribution?













0












$begingroup$


What is the difference between a "filtered probability space" and a "Stochastic base"? I see both terms used but it is not clear to be me if there is a difference. Maybe one is complete but the other need not be?










share|cite|improve this question











$endgroup$
















    0












    $begingroup$


    What is the difference between a "filtered probability space" and a "Stochastic base"? I see both terms used but it is not clear to be me if there is a difference. Maybe one is complete but the other need not be?










    share|cite|improve this question











    $endgroup$














      0












      0








      0





      $begingroup$


      What is the difference between a "filtered probability space" and a "Stochastic base"? I see both terms used but it is not clear to be me if there is a difference. Maybe one is complete but the other need not be?










      share|cite|improve this question











      $endgroup$




      What is the difference between a "filtered probability space" and a "Stochastic base"? I see both terms used but it is not clear to be me if there is a difference. Maybe one is complete but the other need not be?







      probability probability-theory stochastic-processes soft-question terminology






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Mar 12 at 11:01









      Bernard

      123k741116




      123k741116










      asked Mar 12 at 10:06









      AIM_BLBAIM_BLB

      2,5172819




      2,5172819




















          1 Answer
          1






          active

          oldest

          votes


















          2












          $begingroup$

          A filtered probability space is a probability space $(Omega,mathcal F,mathbb P)$ equipped with a filtration $(mathcal F_t)_tinmathbb R_+$.



          Some authors define a stochastic basis as a filtered probability space whose filtration is right-continuous, that is
          $$
          forall tinmathbb R_+,quad F_t=cap_s>tmathcal F_s.
          $$

          (see for instance Jacod-Shiryaev:Limit theorems for stochastic processes, for a definition)



          Other authors might define a stochastic basis as a filtered probability space whose filtration is right-continuous and complete, that is for all $tinmathbb R_+$, $F_t=cap_s>tmathcal F_s$ and $mathcal F_t$ contains all the $mathbb P$-null sets of $mathcal F$.



          As far as I am concerned, I never use the term "stochastic basis". I rather say "probability space equipped with a right-continuous filtration" for instance. It's longer, yes, but at least it is unequivocal.






          share|cite|improve this answer










          New contributor




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






          $endgroup$












          • $begingroup$
            Awesome! I always wondered what it meant. Thanks :).
            $endgroup$
            – AIM_BLB
            Mar 12 at 11:27










          • $begingroup$
            Are you sure that there is such a strong consensus about the use of the term stochastic basis? You're right that Jacod and Shiryaev define it like that - but one should note that in their terminology a filtration is right-continuous by definition. I've also seen people use the term stochastic basis for filtered probability spaces with a right-continuous and complete filtration. My advice would be to always check the individual terminology of the pertaining author. Besides, I whole-heartedly agree with your suggestion not to use the term at all and instead be explicit and precise.
            $endgroup$
            – Mars Plastic
            Mar 12 at 12:52






          • 1




            $begingroup$
            You're right. People I discuss with mostly use the term "stochastic basis" for right-continuous filtration and I have already heard "complete stochastic basis" when they want the filtration to be complete. But indeed it does not seem to be a strong consensus. I'll edit my answer to highlight this ambiguity.
            $endgroup$
            – Will
            Mar 12 at 13:01










          Your Answer





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          1 Answer
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          1 Answer
          1






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          active

          oldest

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          active

          oldest

          votes









          2












          $begingroup$

          A filtered probability space is a probability space $(Omega,mathcal F,mathbb P)$ equipped with a filtration $(mathcal F_t)_tinmathbb R_+$.



          Some authors define a stochastic basis as a filtered probability space whose filtration is right-continuous, that is
          $$
          forall tinmathbb R_+,quad F_t=cap_s>tmathcal F_s.
          $$

          (see for instance Jacod-Shiryaev:Limit theorems for stochastic processes, for a definition)



          Other authors might define a stochastic basis as a filtered probability space whose filtration is right-continuous and complete, that is for all $tinmathbb R_+$, $F_t=cap_s>tmathcal F_s$ and $mathcal F_t$ contains all the $mathbb P$-null sets of $mathcal F$.



          As far as I am concerned, I never use the term "stochastic basis". I rather say "probability space equipped with a right-continuous filtration" for instance. It's longer, yes, but at least it is unequivocal.






          share|cite|improve this answer










          New contributor




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






          $endgroup$












          • $begingroup$
            Awesome! I always wondered what it meant. Thanks :).
            $endgroup$
            – AIM_BLB
            Mar 12 at 11:27










          • $begingroup$
            Are you sure that there is such a strong consensus about the use of the term stochastic basis? You're right that Jacod and Shiryaev define it like that - but one should note that in their terminology a filtration is right-continuous by definition. I've also seen people use the term stochastic basis for filtered probability spaces with a right-continuous and complete filtration. My advice would be to always check the individual terminology of the pertaining author. Besides, I whole-heartedly agree with your suggestion not to use the term at all and instead be explicit and precise.
            $endgroup$
            – Mars Plastic
            Mar 12 at 12:52






          • 1




            $begingroup$
            You're right. People I discuss with mostly use the term "stochastic basis" for right-continuous filtration and I have already heard "complete stochastic basis" when they want the filtration to be complete. But indeed it does not seem to be a strong consensus. I'll edit my answer to highlight this ambiguity.
            $endgroup$
            – Will
            Mar 12 at 13:01















          2












          $begingroup$

          A filtered probability space is a probability space $(Omega,mathcal F,mathbb P)$ equipped with a filtration $(mathcal F_t)_tinmathbb R_+$.



          Some authors define a stochastic basis as a filtered probability space whose filtration is right-continuous, that is
          $$
          forall tinmathbb R_+,quad F_t=cap_s>tmathcal F_s.
          $$

          (see for instance Jacod-Shiryaev:Limit theorems for stochastic processes, for a definition)



          Other authors might define a stochastic basis as a filtered probability space whose filtration is right-continuous and complete, that is for all $tinmathbb R_+$, $F_t=cap_s>tmathcal F_s$ and $mathcal F_t$ contains all the $mathbb P$-null sets of $mathcal F$.



          As far as I am concerned, I never use the term "stochastic basis". I rather say "probability space equipped with a right-continuous filtration" for instance. It's longer, yes, but at least it is unequivocal.






          share|cite|improve this answer










          New contributor




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






          $endgroup$












          • $begingroup$
            Awesome! I always wondered what it meant. Thanks :).
            $endgroup$
            – AIM_BLB
            Mar 12 at 11:27










          • $begingroup$
            Are you sure that there is such a strong consensus about the use of the term stochastic basis? You're right that Jacod and Shiryaev define it like that - but one should note that in their terminology a filtration is right-continuous by definition. I've also seen people use the term stochastic basis for filtered probability spaces with a right-continuous and complete filtration. My advice would be to always check the individual terminology of the pertaining author. Besides, I whole-heartedly agree with your suggestion not to use the term at all and instead be explicit and precise.
            $endgroup$
            – Mars Plastic
            Mar 12 at 12:52






          • 1




            $begingroup$
            You're right. People I discuss with mostly use the term "stochastic basis" for right-continuous filtration and I have already heard "complete stochastic basis" when they want the filtration to be complete. But indeed it does not seem to be a strong consensus. I'll edit my answer to highlight this ambiguity.
            $endgroup$
            – Will
            Mar 12 at 13:01













          2












          2








          2





          $begingroup$

          A filtered probability space is a probability space $(Omega,mathcal F,mathbb P)$ equipped with a filtration $(mathcal F_t)_tinmathbb R_+$.



          Some authors define a stochastic basis as a filtered probability space whose filtration is right-continuous, that is
          $$
          forall tinmathbb R_+,quad F_t=cap_s>tmathcal F_s.
          $$

          (see for instance Jacod-Shiryaev:Limit theorems for stochastic processes, for a definition)



          Other authors might define a stochastic basis as a filtered probability space whose filtration is right-continuous and complete, that is for all $tinmathbb R_+$, $F_t=cap_s>tmathcal F_s$ and $mathcal F_t$ contains all the $mathbb P$-null sets of $mathcal F$.



          As far as I am concerned, I never use the term "stochastic basis". I rather say "probability space equipped with a right-continuous filtration" for instance. It's longer, yes, but at least it is unequivocal.






          share|cite|improve this answer










          New contributor




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






          $endgroup$



          A filtered probability space is a probability space $(Omega,mathcal F,mathbb P)$ equipped with a filtration $(mathcal F_t)_tinmathbb R_+$.



          Some authors define a stochastic basis as a filtered probability space whose filtration is right-continuous, that is
          $$
          forall tinmathbb R_+,quad F_t=cap_s>tmathcal F_s.
          $$

          (see for instance Jacod-Shiryaev:Limit theorems for stochastic processes, for a definition)



          Other authors might define a stochastic basis as a filtered probability space whose filtration is right-continuous and complete, that is for all $tinmathbb R_+$, $F_t=cap_s>tmathcal F_s$ and $mathcal F_t$ contains all the $mathbb P$-null sets of $mathcal F$.



          As far as I am concerned, I never use the term "stochastic basis". I rather say "probability space equipped with a right-continuous filtration" for instance. It's longer, yes, but at least it is unequivocal.







          share|cite|improve this answer










          New contributor




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









          share|cite|improve this answer



          share|cite|improve this answer








          edited Mar 12 at 13:05





















          New contributor




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









          answered Mar 12 at 11:25









          WillWill

          1663




          1663




          New contributor




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





          New contributor





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






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











          • $begingroup$
            Awesome! I always wondered what it meant. Thanks :).
            $endgroup$
            – AIM_BLB
            Mar 12 at 11:27










          • $begingroup$
            Are you sure that there is such a strong consensus about the use of the term stochastic basis? You're right that Jacod and Shiryaev define it like that - but one should note that in their terminology a filtration is right-continuous by definition. I've also seen people use the term stochastic basis for filtered probability spaces with a right-continuous and complete filtration. My advice would be to always check the individual terminology of the pertaining author. Besides, I whole-heartedly agree with your suggestion not to use the term at all and instead be explicit and precise.
            $endgroup$
            – Mars Plastic
            Mar 12 at 12:52






          • 1




            $begingroup$
            You're right. People I discuss with mostly use the term "stochastic basis" for right-continuous filtration and I have already heard "complete stochastic basis" when they want the filtration to be complete. But indeed it does not seem to be a strong consensus. I'll edit my answer to highlight this ambiguity.
            $endgroup$
            – Will
            Mar 12 at 13:01
















          • $begingroup$
            Awesome! I always wondered what it meant. Thanks :).
            $endgroup$
            – AIM_BLB
            Mar 12 at 11:27










          • $begingroup$
            Are you sure that there is such a strong consensus about the use of the term stochastic basis? You're right that Jacod and Shiryaev define it like that - but one should note that in their terminology a filtration is right-continuous by definition. I've also seen people use the term stochastic basis for filtered probability spaces with a right-continuous and complete filtration. My advice would be to always check the individual terminology of the pertaining author. Besides, I whole-heartedly agree with your suggestion not to use the term at all and instead be explicit and precise.
            $endgroup$
            – Mars Plastic
            Mar 12 at 12:52






          • 1




            $begingroup$
            You're right. People I discuss with mostly use the term "stochastic basis" for right-continuous filtration and I have already heard "complete stochastic basis" when they want the filtration to be complete. But indeed it does not seem to be a strong consensus. I'll edit my answer to highlight this ambiguity.
            $endgroup$
            – Will
            Mar 12 at 13:01















          $begingroup$
          Awesome! I always wondered what it meant. Thanks :).
          $endgroup$
          – AIM_BLB
          Mar 12 at 11:27




          $begingroup$
          Awesome! I always wondered what it meant. Thanks :).
          $endgroup$
          – AIM_BLB
          Mar 12 at 11:27












          $begingroup$
          Are you sure that there is such a strong consensus about the use of the term stochastic basis? You're right that Jacod and Shiryaev define it like that - but one should note that in their terminology a filtration is right-continuous by definition. I've also seen people use the term stochastic basis for filtered probability spaces with a right-continuous and complete filtration. My advice would be to always check the individual terminology of the pertaining author. Besides, I whole-heartedly agree with your suggestion not to use the term at all and instead be explicit and precise.
          $endgroup$
          – Mars Plastic
          Mar 12 at 12:52




          $begingroup$
          Are you sure that there is such a strong consensus about the use of the term stochastic basis? You're right that Jacod and Shiryaev define it like that - but one should note that in their terminology a filtration is right-continuous by definition. I've also seen people use the term stochastic basis for filtered probability spaces with a right-continuous and complete filtration. My advice would be to always check the individual terminology of the pertaining author. Besides, I whole-heartedly agree with your suggestion not to use the term at all and instead be explicit and precise.
          $endgroup$
          – Mars Plastic
          Mar 12 at 12:52




          1




          1




          $begingroup$
          You're right. People I discuss with mostly use the term "stochastic basis" for right-continuous filtration and I have already heard "complete stochastic basis" when they want the filtration to be complete. But indeed it does not seem to be a strong consensus. I'll edit my answer to highlight this ambiguity.
          $endgroup$
          – Will
          Mar 12 at 13:01




          $begingroup$
          You're right. People I discuss with mostly use the term "stochastic basis" for right-continuous filtration and I have already heard "complete stochastic basis" when they want the filtration to be complete. But indeed it does not seem to be a strong consensus. I'll edit my answer to highlight this ambiguity.
          $endgroup$
          – Will
          Mar 12 at 13:01

















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