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    发表于 2013-5-6 16:11 |只看该作者 |倒序浏览
    |招呼Ta 关注Ta |邮箱已经成功绑定
    Mon, 6 May 2013[1]  arXiv:1305.0764 [pdf, ps, other]Calculation of Exact Estimators by Integration Over the Surface of an n-Dimensional Sphere/ L5 ?' r6 x. {" Q" c6 ], y
    Anthony J Webster
      A- N0 T  M6 |+ e9 c0 YSubjects: Statistics Theory (math.ST)& I' f: i' K, y0 v

    4 |& M; |# Q. F% I[2]  arXiv:1305.0630 [pdf, ps, other]Anisotropic oracle inequalities in noisy quantization, K3 t6 Y- |+ R
    Sébastien Loustau/ E/ e) D. h2 `4 t" V  c8 z$ a, P
    Comments: 30 pages. arXiv admin note: text overlap with arXiv:1205.1417
    9 y+ i4 W1 {* z/ @Subjects: Statistics Theory (math.ST); Machine Learning (stat.ML)
    " e+ g" O, c) s8 w" J+ U9 ]) V. b" V
    [3]  arXiv:1305.0617 [pdf, ps, other]Bayesian Manifold Regression3 `( Y* l% u8 Z$ `: L* i: l
    Yun Yang, David B. Dunson
    $ d) e6 Z4 b. _6 Q! v$ ?0 ~4 Q  ^Comments: 36 pages, 2 figures" I7 u, M0 ^1 ^; C- p7 q
    Subjects: Statistics Theory (math.ST)
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    : p$ Z# j- q& V  F. Y4 YFri, 3 May 2013[4]  arXiv:1305.0355 [pdf, other]Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition
    % t4 _7 f! O3 n: QAdel Javanmard, Andrea Montanari& F) S$ U1 i4 s1 o9 o7 O4 n3 p+ G
    Comments: 32 pages, 3 figures2 p9 S* W  P0 X; ~
    Subjects: Statistics Theory (math.ST); Information Theory (cs.IT); Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)
    ' l2 l) b. {) ?+ w- N! |( ~
    ; i: _; ^  J7 {% F/ o, O[5]  arXiv:1305.0339 [pdf, ps, other]A Note on Central Limit Theorems for Linear Spectral Statistics of Large Dimensional F-matrix
    9 x7 B5 {$ S) {5 K" `0 GShurong Zheng, Zhidong Bai$ k) W1 O* V# C3 x0 g( A* A
    Subjects: Statistics Theory (math.ST)5 v5 a! p; H* Z' o' `# [, z: |
    ) }4 a+ U' @& B
    [6]  arXiv:1305.0274 [pdf, ps, other]Multichannel Deconvolution with Long-Range Dependence: A Minimax Study# [7 n9 u& h9 Y# \
    Rida Benhaddou, Rafal Kulik, Marianna Pensky, Theofanis Sapatinas% u& N, |* L1 P, d2 T) H6 h
    Subjects: Statistics Theory (math.ST)
    $ t2 p2 P2 L, t8 S, b: v! Y
    & F, @, p+ H: J  g5 I7 o[7]  arXiv:1305.0539 (cross-list from math.AG) [pdf, other]Tensors of Nonnegative Rank Two( k( F7 i* @7 M1 n4 h. V; x# J9 l
    Elizabeth S. Allman, John A. Rhodes, Bernd Sturmfels, Piotr Zwiernik& a$ X$ E6 c8 t. @. l" V
    Comments: 22 pages, 1 figure' {7 Y5 A0 }$ L3 W
    Subjects: Algebraic Geometry (math.AG); Statistics Theory (math.ST)
    ) S3 }7 \1 C6 q# X# }6 J7 G
    , I' y, F6 ]/ V) I! h/ nThu, 2 May 2013[8]  arXiv:1305.0179 (cross-list from math.PR) [pdf, other]Species dynamics in the two-parameter Poisson-Dirichlet diffusion model2 ^! A( i! s" m  A6 l* \
    Matteo Ruggiero
    5 c7 h: C9 y9 o8 D& |, z/ dSubjects: Probability (math.PR); Statistics Theory (math.ST)- ^  K" O9 q# j

    - ^* V8 }' f) W% ?Wed, 1 May 2013[9]  arXiv:1304.7914 [pdf, ps, other]A Characterization of Saturated Designs for Factorial Experiments
    # Z$ o( d% n# o5 URoberto Fontana, Fabio Rapallo, Maria-Piera Rogantin
    # M6 r: d& l0 T' @8 I' k6 ?% vComments: 18 pages, 1 figure
    # y. z# V6 U, g5 N, E5 _Subjects: Statistics Theory (math.ST); Methodology (stat.ME)+ ^0 C1 c4 e3 R" m
    ) D( k" Y/ z6 ?/ Y
    [10]  arXiv:1304.8087 (cross-list from cs.DS) [pdf, other]Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability6 i! Z6 `! K, _( @. E: e# l4 e/ j7 Q
    Aditya Bhaskara, Moses Charikar, Aravindan Vijayaraghavan
    $ y8 k5 L" g9 DComments: 51 pages, 2 figures
    9 `  S3 f1 M2 qSubjects: Data Structures and Algorithms (cs.DS); Learning (cs.LG); Statistics Theory (math.ST)" `& K' I% B+ r) y: o# D

    1 Q5 \$ Z9 w, {' y6 r& y+ V5 i[11]  arXiv:1304.8036 (cross-list from math.PR) [pdf, ps, other]n-digit Benford distributed random variables( S: u0 o3 @" A% e/ `
    Azar Khosravani, Constantin Rasinariu
    1 P+ w. L4 M" X( VComments: 7 pages, 4 figures% t/ v: P- C- W1 v2 I4 J" ?
    Subjects: Probability (math.PR); Statistics Theory (math.ST)
    ' D6 k/ Z6 ~+ n* s$ G' U
    ( B1 B: i7 r* qTue, 30 Apr 2013[12]  arXiv:1304.7678 [pdf, ps, other]Large and moderate deviation principles for averaged stochastic approximation method for the estimation of a regression function
    3 b- Q5 G$ |0 u$ f4 wYousri Slaoui7 h1 Y) `$ y% v& j" k5 ?; Z$ c/ J! A2 J& o
    Comments: arXiv admin note: text overlap with arXiv:math/0601429 by other authors
    ( z( r" c2 k; VSubjects: Statistics Theory (math.ST): E0 x- v1 h, W) m. O& @
    * F) q: g) |- x8 P+ K- W$ {1 Y) t% F# ~
    [13]  arXiv:1304.7668 [pdf, ps, other]Adaptive estimation under single-index constraint in a regression model$ i2 X  T: I) `- ?: o
    Oleg Lepski, Nora Serdyukova- d7 B# a9 C4 S$ a* l% Q
    Comments: 44 pages. Lemma 1 is common to "Adaptive estimation in the single-index model via oracle approach" (ArXiv:1111.3563) as well as Theorem 5 coincides with Theorem 4 in that paper. arXiv admin note: substantial text overlap with arXiv:1111.35633 z5 _$ y  W- R
    Subjects: Statistics Theory (math.ST); Probability (math.PR)
    ! {& E: L' Q+ Z4 S+ v* P! x! \1 Q2 M5 k8 S0 [) `( E
    [14]  arXiv:1304.7366 [pdf, ps, other]Asymptotically minimax empirical Bayes estimation of a sparse normal mean
    8 k, M8 f7 m0 ^; a7 D; CRyan Martin, Stephen G. Walker6 o  [* _+ O" \0 L2 B: v" ?: n
    Comments: 14 pages, 2 figures, 2 tables
    $ c8 |8 ?% V+ S# w. s6 vSubjects: Statistics Theory (math.ST)& m, [: Q! Y- y( d5 t: [3 K. |
    $ g3 n% P/ s, J5 W
    [15]  arXiv:1304.7353 [pdf, ps, other]A note on non-parametric Bayesian estimation for Poisson point processes) a$ o. G- F2 w; i' H$ _+ k% h: U
    Shota Gugushvili, Peter Spreij
    & }, b: `0 ~' f! N9 G$ s4 {Comments: 10 pages" g0 h7 s& J; C- n1 s6 p; |8 ^
    Subjects: Statistics Theory (math.ST)/ |$ W& m6 g  k% ^

    5 P( {$ z0 o4 S
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