Reference request: Strong Law of Large Numbers for V-statistics












1












$begingroup$


I'm requesting a reference for a Strong Law of Large Numbers theorem for V-statistics (similar to Hoeffding's 1961 paper for U-statistics). That is, I am searching for an almost sure convergence theorem, saying
$$
V_n = frac{1}{n^k}sum_{i_1=1}^n cdots sum_{i_k=1}^n hleft(X_{i_1},...,X_{i_k}right) stackrel{mbox{a.s.}}{longrightarrow}_n quad?
$$

where $(X_n)$ is an i.i.d. sequence of random elements with values in some space $mathcal{X}$ and $h:mathcal{X}^k to mathbb{R}$ is a symmetric kernel with some moment requirements.



If Hoeffdings SSLN for U-statistics can be used to derive this result, an explanation of how this is done, would also more than suffice.










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$endgroup$












  • $begingroup$
    They are equivalent. Explanation: $n^kV_n=n(n-1)cdots(n-k+1)U_n+R_n$ where the rest $R_n$ is the sum over every $k$uple with at least two indices equal. There are $O(n^{k-1})$ terms in $R_n$ hence $n^{-k}R_nto0$ almost surely (under various moment hypotheses) hence you are done.
    $endgroup$
    – Did
    Aug 30 '16 at 12:34










  • $begingroup$
    Thanks Did, much appreciated.
    $endgroup$
    – Martin
    Aug 30 '16 at 12:53
















1












$begingroup$


I'm requesting a reference for a Strong Law of Large Numbers theorem for V-statistics (similar to Hoeffding's 1961 paper for U-statistics). That is, I am searching for an almost sure convergence theorem, saying
$$
V_n = frac{1}{n^k}sum_{i_1=1}^n cdots sum_{i_k=1}^n hleft(X_{i_1},...,X_{i_k}right) stackrel{mbox{a.s.}}{longrightarrow}_n quad?
$$

where $(X_n)$ is an i.i.d. sequence of random elements with values in some space $mathcal{X}$ and $h:mathcal{X}^k to mathbb{R}$ is a symmetric kernel with some moment requirements.



If Hoeffdings SSLN for U-statistics can be used to derive this result, an explanation of how this is done, would also more than suffice.










share|cite|improve this question











$endgroup$












  • $begingroup$
    They are equivalent. Explanation: $n^kV_n=n(n-1)cdots(n-k+1)U_n+R_n$ where the rest $R_n$ is the sum over every $k$uple with at least two indices equal. There are $O(n^{k-1})$ terms in $R_n$ hence $n^{-k}R_nto0$ almost surely (under various moment hypotheses) hence you are done.
    $endgroup$
    – Did
    Aug 30 '16 at 12:34










  • $begingroup$
    Thanks Did, much appreciated.
    $endgroup$
    – Martin
    Aug 30 '16 at 12:53














1












1








1





$begingroup$


I'm requesting a reference for a Strong Law of Large Numbers theorem for V-statistics (similar to Hoeffding's 1961 paper for U-statistics). That is, I am searching for an almost sure convergence theorem, saying
$$
V_n = frac{1}{n^k}sum_{i_1=1}^n cdots sum_{i_k=1}^n hleft(X_{i_1},...,X_{i_k}right) stackrel{mbox{a.s.}}{longrightarrow}_n quad?
$$

where $(X_n)$ is an i.i.d. sequence of random elements with values in some space $mathcal{X}$ and $h:mathcal{X}^k to mathbb{R}$ is a symmetric kernel with some moment requirements.



If Hoeffdings SSLN for U-statistics can be used to derive this result, an explanation of how this is done, would also more than suffice.










share|cite|improve this question











$endgroup$




I'm requesting a reference for a Strong Law of Large Numbers theorem for V-statistics (similar to Hoeffding's 1961 paper for U-statistics). That is, I am searching for an almost sure convergence theorem, saying
$$
V_n = frac{1}{n^k}sum_{i_1=1}^n cdots sum_{i_k=1}^n hleft(X_{i_1},...,X_{i_k}right) stackrel{mbox{a.s.}}{longrightarrow}_n quad?
$$

where $(X_n)$ is an i.i.d. sequence of random elements with values in some space $mathcal{X}$ and $h:mathcal{X}^k to mathbb{R}$ is a symmetric kernel with some moment requirements.



If Hoeffdings SSLN for U-statistics can be used to derive this result, an explanation of how this is done, would also more than suffice.







probability-theory statistics reference-request asymptotics law-of-large-numbers






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edited Jan 2 at 13:27









Davide Giraudo

128k17155268




128k17155268










asked Aug 30 '16 at 12:28









MartinMartin

1,1811019




1,1811019












  • $begingroup$
    They are equivalent. Explanation: $n^kV_n=n(n-1)cdots(n-k+1)U_n+R_n$ where the rest $R_n$ is the sum over every $k$uple with at least two indices equal. There are $O(n^{k-1})$ terms in $R_n$ hence $n^{-k}R_nto0$ almost surely (under various moment hypotheses) hence you are done.
    $endgroup$
    – Did
    Aug 30 '16 at 12:34










  • $begingroup$
    Thanks Did, much appreciated.
    $endgroup$
    – Martin
    Aug 30 '16 at 12:53


















  • $begingroup$
    They are equivalent. Explanation: $n^kV_n=n(n-1)cdots(n-k+1)U_n+R_n$ where the rest $R_n$ is the sum over every $k$uple with at least two indices equal. There are $O(n^{k-1})$ terms in $R_n$ hence $n^{-k}R_nto0$ almost surely (under various moment hypotheses) hence you are done.
    $endgroup$
    – Did
    Aug 30 '16 at 12:34










  • $begingroup$
    Thanks Did, much appreciated.
    $endgroup$
    – Martin
    Aug 30 '16 at 12:53
















$begingroup$
They are equivalent. Explanation: $n^kV_n=n(n-1)cdots(n-k+1)U_n+R_n$ where the rest $R_n$ is the sum over every $k$uple with at least two indices equal. There are $O(n^{k-1})$ terms in $R_n$ hence $n^{-k}R_nto0$ almost surely (under various moment hypotheses) hence you are done.
$endgroup$
– Did
Aug 30 '16 at 12:34




$begingroup$
They are equivalent. Explanation: $n^kV_n=n(n-1)cdots(n-k+1)U_n+R_n$ where the rest $R_n$ is the sum over every $k$uple with at least two indices equal. There are $O(n^{k-1})$ terms in $R_n$ hence $n^{-k}R_nto0$ almost surely (under various moment hypotheses) hence you are done.
$endgroup$
– Did
Aug 30 '16 at 12:34












$begingroup$
Thanks Did, much appreciated.
$endgroup$
– Martin
Aug 30 '16 at 12:53




$begingroup$
Thanks Did, much appreciated.
$endgroup$
– Martin
Aug 30 '16 at 12:53










1 Answer
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$begingroup$

I found four references:




  1. Giné, Evarist, and Joel Zinn. "Marcinkiewicz type laws of large numbers and convergence of moments for U-statistics." Probability in Banach Spaces, 8: Proceedings of the Eighth International Conference. Birkhäuser Boston, 1992.

  2. Kondo, Masao, and Hajime Yamato. "Almost sure convergence of a linear combination of U-statistics." Scientiae Mathematicae japonicae 55.3 (2002): 605-613.

  3. Borovskikh, Yuri Vasilevich. U-statistics in Banach Spaces. VSP, 1996.

  4. Korolyuk, Vladimir S., and Yuri V. Borovskich. Theory of U-statistics. Vol. 273. Springer Science & Business Media, 2013.






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    $begingroup$

    I found four references:




    1. Giné, Evarist, and Joel Zinn. "Marcinkiewicz type laws of large numbers and convergence of moments for U-statistics." Probability in Banach Spaces, 8: Proceedings of the Eighth International Conference. Birkhäuser Boston, 1992.

    2. Kondo, Masao, and Hajime Yamato. "Almost sure convergence of a linear combination of U-statistics." Scientiae Mathematicae japonicae 55.3 (2002): 605-613.

    3. Borovskikh, Yuri Vasilevich. U-statistics in Banach Spaces. VSP, 1996.

    4. Korolyuk, Vladimir S., and Yuri V. Borovskich. Theory of U-statistics. Vol. 273. Springer Science & Business Media, 2013.






    share|cite|improve this answer









    $endgroup$


















      1












      $begingroup$

      I found four references:




      1. Giné, Evarist, and Joel Zinn. "Marcinkiewicz type laws of large numbers and convergence of moments for U-statistics." Probability in Banach Spaces, 8: Proceedings of the Eighth International Conference. Birkhäuser Boston, 1992.

      2. Kondo, Masao, and Hajime Yamato. "Almost sure convergence of a linear combination of U-statistics." Scientiae Mathematicae japonicae 55.3 (2002): 605-613.

      3. Borovskikh, Yuri Vasilevich. U-statistics in Banach Spaces. VSP, 1996.

      4. Korolyuk, Vladimir S., and Yuri V. Borovskich. Theory of U-statistics. Vol. 273. Springer Science & Business Media, 2013.






      share|cite|improve this answer









      $endgroup$
















        1












        1








        1





        $begingroup$

        I found four references:




        1. Giné, Evarist, and Joel Zinn. "Marcinkiewicz type laws of large numbers and convergence of moments for U-statistics." Probability in Banach Spaces, 8: Proceedings of the Eighth International Conference. Birkhäuser Boston, 1992.

        2. Kondo, Masao, and Hajime Yamato. "Almost sure convergence of a linear combination of U-statistics." Scientiae Mathematicae japonicae 55.3 (2002): 605-613.

        3. Borovskikh, Yuri Vasilevich. U-statistics in Banach Spaces. VSP, 1996.

        4. Korolyuk, Vladimir S., and Yuri V. Borovskich. Theory of U-statistics. Vol. 273. Springer Science & Business Media, 2013.






        share|cite|improve this answer









        $endgroup$



        I found four references:




        1. Giné, Evarist, and Joel Zinn. "Marcinkiewicz type laws of large numbers and convergence of moments for U-statistics." Probability in Banach Spaces, 8: Proceedings of the Eighth International Conference. Birkhäuser Boston, 1992.

        2. Kondo, Masao, and Hajime Yamato. "Almost sure convergence of a linear combination of U-statistics." Scientiae Mathematicae japonicae 55.3 (2002): 605-613.

        3. Borovskikh, Yuri Vasilevich. U-statistics in Banach Spaces. VSP, 1996.

        4. Korolyuk, Vladimir S., and Yuri V. Borovskich. Theory of U-statistics. Vol. 273. Springer Science & Business Media, 2013.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Jan 19 '17 at 3:09









        MartinMartin

        1,1811019




        1,1811019






























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