Are all variables in a set of random variables independent if all pairs are independent? - MathOverflow most recent 30 from http://mathoverflow.net2013-05-22T17:07:26Zhttp://mathoverflow.net/feeds/question/121190http://www.creativecommons.org/licenses/by-nc/2.5/rdfhttp://mathoverflow.net/questions/121190/are-all-variables-in-a-set-of-random-variables-independent-if-all-pairs-are-indepAre all variables in a set of random variables independent if all pairs are independent?Rorsa2013-02-08T13:06:22Z2013-02-08T13:26:42Z
<p>If I have a sequence of random variables $X_1, X_2, \ldots, X_n$ (possibly infinite) such that all pairwise cdf's are factorized:</p>
<p>$$F(X_i, X_j) = F_i(X_i) F_j(X_j)$$</p>
<p>for all pairs $(X_i, X_j)$, does it mean that the joint cdf is also factorized? That is:</p>
<p>$$F(X_1, \ldots, X_n) = \prod_{i=1}^{n} F_i(X_i)$$</p>
<p>In other words, if I prove that each pair in the sequence is statistically independent of each other, can longer sequences still be non-independent?</p>
<p>It seems to me that they can, but I can't come up with a counter example. </p>
http://mathoverflow.net/questions/121190/are-all-variables-in-a-set-of-random-variables-independent-if-all-pairs-are-indep/121192#121192Answer by Steven Landsburg for Are all variables in a set of random variables independent if all pairs are independent?Steven Landsburg2013-02-08T13:21:11Z2013-02-08T13:21:11Z<p>The simplest of the many standard counterexamples is when $(X_1,X_2,X_3)$ takes the values $(1,1,1)$, $(1,0,0)$, $(0,1,0)$ and $(0,0,1)$ all equiprobably.</p>
http://mathoverflow.net/questions/121190/are-all-variables-in-a-set-of-random-variables-independent-if-all-pairs-are-indep/121194#121194Answer by Brendan McKay for Are all variables in a set of random variables independent if all pairs are independent?Brendan McKay2013-02-08T13:26:42Z2013-02-08T13:26:42Z<p>Steven's example is indeed the simplest. See chapter 3 of <a href="http://tocs.ulb.tu-darmstadt.de/12587850.pdf" rel="nofollow">this book</a> for counterexamples to lots of similar possibilities.</p>