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.










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












$begingroup$


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






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








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
1






active

oldest

votes


















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









$endgroup$














    Your Answer





    StackExchange.ifUsing("editor", function () {
    return StackExchange.using("mathjaxEditing", function () {
    StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
    StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
    });
    });
    }, "mathjax-editing");

    StackExchange.ready(function() {
    var channelOptions = {
    tags: "".split(" "),
    id: "69"
    };
    initTagRenderer("".split(" "), "".split(" "), channelOptions);

    StackExchange.using("externalEditor", function() {
    // Have to fire editor after snippets, if snippets enabled
    if (StackExchange.settings.snippets.snippetsEnabled) {
    StackExchange.using("snippets", function() {
    createEditor();
    });
    }
    else {
    createEditor();
    }
    });

    function createEditor() {
    StackExchange.prepareEditor({
    heartbeatType: 'answer',
    autoActivateHeartbeat: false,
    convertImagesToLinks: true,
    noModals: true,
    showLowRepImageUploadWarning: true,
    reputationToPostImages: 10,
    bindNavPrevention: true,
    postfix: "",
    imageUploader: {
    brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
    contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
    allowUrls: true
    },
    noCode: true, onDemand: true,
    discardSelector: ".discard-answer"
    ,immediatelyShowMarkdownHelp:true
    });


    }
    });














    draft saved

    draft discarded


















    StackExchange.ready(
    function () {
    StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f1908385%2freference-request-strong-law-of-large-numbers-for-v-statistics%23new-answer', 'question_page');
    }
    );

    Post as a guest















    Required, but never shown

























    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    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












      $begingroup$

      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






























            draft saved

            draft discarded




















































            Thanks for contributing an answer to Mathematics Stack Exchange!


            • Please be sure to answer the question. Provide details and share your research!

            But avoid



            • Asking for help, clarification, or responding to other answers.

            • Making statements based on opinion; back them up with references or personal experience.


            Use MathJax to format equations. MathJax reference.


            To learn more, see our tips on writing great answers.




            draft saved


            draft discarded














            StackExchange.ready(
            function () {
            StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f1908385%2freference-request-strong-law-of-large-numbers-for-v-statistics%23new-answer', 'question_page');
            }
            );

            Post as a guest















            Required, but never shown





















































            Required, but never shown














            Required, but never shown












            Required, but never shown







            Required, but never shown

































            Required, but never shown














            Required, but never shown












            Required, but never shown







            Required, but never shown







            Popular posts from this blog

            Wiesbaden

            Marschland

            Dieringhausen