The One - way Fubini Property and Conditional Independence : An Equivalence Result

نویسندگان

  • Peter J Hammond
  • Yeneng Sun
  • Peter J. Hammond
چکیده

A general parameter process defined by a continuum of random variables is not jointly measurable with respect to the usual product σ-algebra. For the case of independent random variables, a one-way Fubini extension of the product space was constructed in [11] to satisfy a limited form of joint measurability. For the general case we show that this extension exists if and only if there is a countably generated σ-algebra given which the random variables are essentially pairwise conditionally independent, while their joint conditional distribution also satisfies a suitable joint measurability condition. Applications include new characterizations of essential pairwise independence and essential pairwise exchangeability through regular conditional distributions with respect to the usual product σ-algebra in the framework of a one-way Fubini extension.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Joint Measurability and the One-way Fubini Property for a Continuum of Independent Random Variables

As is well known, a continuous parameter process with mutually independent random variables is not jointly measurable in the usual sense. This paper proposes an extension of the usual product measure-theoretic framework, using a natural “one-way Fubini” property. When the random variables are independent even in a very weak sense, this property guarantees joint measurability and defines a uniqu...

متن کامل

A weaker structural Markov property for decomposable graph laws

We present a new kind of structural Markov property for probabilistic laws on decomposable graphs, prove the equivalence of an exponential family assumption, and discuss identifiability, modelling and computational implications. Some key words: conditional independence, graphical model, Markov random field, model determination, random graphs

متن کامل

Independence with Respect to Upper and Lower Conditional Probabilities Assigned by Hausdorff Outer and Inner Measures

In this paper the notion of s-irrelevance with respect to upper and lower conditional probabilities assigned by Hausdorff outer and inner measures is proved to be a sufficient condition for strong independence introduced for credal sets. An example is given to show that the converse is not true. Moreover the definition of sconditional irrelevance is given and a generalized factorization propert...

متن کامل

A Polynomial Time Algorithm For Determining DAG Equivalence in the Presence of Latent Variables and Selection Bias

Following the terminology of Lauritzen et. al. (1990) say that a probability measure over a set of variables V satisfies the local directed Markov property for a directed acyclic graph (DAG) G with vertices V if and only if for every W in V, W is independent of the set of all its non-descendants conditional on the set of its parents. One natural question that arises with respect to DAGs is when...

متن کامل

Local Markov Property for Models Satisfying Composition Axiom

The local Markov condition for a DAG to be an independence map of a probability distribution is well known. For DAGs with latent variables, represented as bi-directed edges in the graph, the local Markov property may invoke exponential number of conditional independencies. This paper shows that the number of conditional independence relations required may be reduced if the probability distribut...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016