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    1#
    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
    3 J9 x4 ^- [2 C" O9 n+ BAnthony J Webster- G/ H* X, u" c$ P+ W6 x* O& Y: y
    Subjects: Statistics Theory (math.ST)& L! @" _" q0 D& J. _4 |3 e3 t+ ~
    4 t) }7 Y" u4 B! \  [. I
    [2]  arXiv:1305.0630 [pdf, ps, other]Anisotropic oracle inequalities in noisy quantization2 W# ]6 i, }" r& G' V
    Sébastien Loustau. c- e0 O9 a) O6 n
    Comments: 30 pages. arXiv admin note: text overlap with arXiv:1205.1417% `% K. H7 X9 m/ K1 d
    Subjects: Statistics Theory (math.ST); Machine Learning (stat.ML)
    " n7 v/ u8 i0 r& k& E4 G! t- @' f: l3 @# C
    [3]  arXiv:1305.0617 [pdf, ps, other]Bayesian Manifold Regression; A) v$ j' B# r- \% A: C
    Yun Yang, David B. Dunson5 M% l% d# m) p7 C. E: Q
    Comments: 36 pages, 2 figures
    & I$ g% A" x) vSubjects: Statistics Theory (math.ST)  Y  [  d! k. u+ U- U
    . R) D$ P9 ?# u$ {& |8 @
    Fri, 3 May 2013[4]  arXiv:1305.0355 [pdf, other]Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition1 e: I& `2 k/ u* g2 ^
    Adel Javanmard, Andrea Montanari
    $ B* K5 m$ Z* \5 ?- ]; w, t$ YComments: 32 pages, 3 figures& U% r- p+ \5 ~2 {) l
    Subjects: Statistics Theory (math.ST); Information Theory (cs.IT); Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)
    $ O+ |9 D8 b$ y) z: \* n$ @' d) t
    [5]  arXiv:1305.0339 [pdf, ps, other]A Note on Central Limit Theorems for Linear Spectral Statistics of Large Dimensional F-matrix: j$ t" N" h$ ^9 R5 O' P. f
    Shurong Zheng, Zhidong Bai
    4 |9 C! N, a; A6 F! j$ d5 lSubjects: Statistics Theory (math.ST)' F" _  P6 E/ [, W" ~5 [. b
    7 a, }! d: d. ~9 n" N; a/ {6 M
    [6]  arXiv:1305.0274 [pdf, ps, other]Multichannel Deconvolution with Long-Range Dependence: A Minimax Study, x* t9 O# o) k# a
    Rida Benhaddou, Rafal Kulik, Marianna Pensky, Theofanis Sapatinas0 H0 s8 o1 C$ ~# z' d' n5 u, M4 X, v
    Subjects: Statistics Theory (math.ST)
    " l. C0 A+ ?3 x0 j  `; p" k. N5 R: q) F, t3 ~( ^
    [7]  arXiv:1305.0539 (cross-list from math.AG) [pdf, other]Tensors of Nonnegative Rank Two
    5 d# u& d4 N! A8 C5 j. r+ jElizabeth S. Allman, John A. Rhodes, Bernd Sturmfels, Piotr Zwiernik
    % X* A' Q( N1 b* HComments: 22 pages, 1 figure+ D  A) P& h/ `' q% ~
    Subjects: Algebraic Geometry (math.AG); Statistics Theory (math.ST)0 r* I$ r& K: |0 s' b3 X' ^
    4 Y5 r: b& J( x
    Thu, 2 May 2013[8]  arXiv:1305.0179 (cross-list from math.PR) [pdf, other]Species dynamics in the two-parameter Poisson-Dirichlet diffusion model
    ; P* H" s* c1 k( \( RMatteo Ruggiero6 U5 p/ F9 o. l/ _3 {. n
    Subjects: Probability (math.PR); Statistics Theory (math.ST)
    / Q5 j) u0 i1 ^* M
    . [0 r5 z+ w2 V4 p( wWed, 1 May 2013[9]  arXiv:1304.7914 [pdf, ps, other]A Characterization of Saturated Designs for Factorial Experiments
    9 f% J6 O8 j8 ]6 m6 {Roberto Fontana, Fabio Rapallo, Maria-Piera Rogantin
    ! z" \  F& V! W" mComments: 18 pages, 1 figure
    5 h- h6 m" E' ~1 k9 d2 U) r+ ySubjects: Statistics Theory (math.ST); Methodology (stat.ME)( k% X) D: E% p1 ?7 F. r
    " q0 R$ O$ I; ]) z4 J
    [10]  arXiv:1304.8087 (cross-list from cs.DS) [pdf, other]Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability
    $ [0 v; ?7 s5 {! p! c- b. V# ]) tAditya Bhaskara, Moses Charikar, Aravindan Vijayaraghavan
    ; n% D& H2 m. n. b' H$ E5 CComments: 51 pages, 2 figures
    5 ^1 k# @6 s1 F9 rSubjects: Data Structures and Algorithms (cs.DS); Learning (cs.LG); Statistics Theory (math.ST)
    ) ]5 ?: m6 U6 \3 \  C+ S7 ^  [) K4 s+ B( j$ a, E
    [11]  arXiv:1304.8036 (cross-list from math.PR) [pdf, ps, other]n-digit Benford distributed random variables+ G" `) _" k# `: G
    Azar Khosravani, Constantin Rasinariu1 l& |4 e0 n9 c' }
    Comments: 7 pages, 4 figures
    5 k0 a" ~; ]2 S# s. M4 QSubjects: Probability (math.PR); Statistics Theory (math.ST)
    - @6 g% I8 p( t0 m" \- Q% ]$ n
    $ k( Z; ?9 Z: T0 X, pTue, 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
    9 K& l9 \& N! O2 \( VYousri Slaoui
    , B5 y9 y+ k* N! a' b* oComments: arXiv admin note: text overlap with arXiv:math/0601429 by other authors
    * l( c' Q* h! ]# F$ w: Z6 u8 hSubjects: Statistics Theory (math.ST)
    4 \' s! }0 m2 s" y4 T6 \$ F1 Q4 u) g' S$ |7 R( S4 ?
    [13]  arXiv:1304.7668 [pdf, ps, other]Adaptive estimation under single-index constraint in a regression model. B7 E7 Q1 t- \
    Oleg Lepski, Nora Serdyukova
    , x* p$ I2 m3 D6 h4 e8 B( QComments: 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:1111.3563
    , P9 L" t: l+ {: p4 b& b0 G% }Subjects: Statistics Theory (math.ST); Probability (math.PR)( s- y% r" Y- ~) m9 s. J

    & x4 C7 ]6 v/ ~- L$ X+ ?. s7 y# g[14]  arXiv:1304.7366 [pdf, ps, other]Asymptotically minimax empirical Bayes estimation of a sparse normal mean" L: W/ |; h2 H% g3 ?
    Ryan Martin, Stephen G. Walker; ]2 m! N& w3 \, V) N- q8 |
    Comments: 14 pages, 2 figures, 2 tables
    ; v- J( g6 _& Y3 B1 p7 j+ nSubjects: Statistics Theory (math.ST)
    / q# n. @) W- e6 |5 D8 ]# p
    4 D, o) t) A( L& {' M$ T[15]  arXiv:1304.7353 [pdf, ps, other]A note on non-parametric Bayesian estimation for Poisson point processes
    : a) p3 g; P4 J: }( `/ X) yShota Gugushvili, Peter Spreij
    3 P4 R. _, y5 F9 M' W/ c0 uComments: 10 pages% ^" U% X; A9 X5 }5 [. M# {
    Subjects: Statistics Theory (math.ST)! E# f$ C" P# i# }$ V( u

    . O0 J% o# q( I$ K

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    3 T- Z# ]5 `5 X7 B' {3 |  E2 a. X& S* A3 G7 A/ o1 D+ `- }
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