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    发表于 2013-5-6 16:11 |只看该作者 |正序浏览
    |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
    0 l. @- j4 n. `" O. n" IAnthony J Webster
    . f' G8 k8 @2 @6 Q: ZSubjects: Statistics Theory (math.ST)* q! s! v- D8 n

    ) k" i; ]6 b# \0 j1 {[2]  arXiv:1305.0630 [pdf, ps, other]Anisotropic oracle inequalities in noisy quantization' O: {' |( |: l* z! }+ N
    Sébastien Loustau
    : X8 P  y) }' DComments: 30 pages. arXiv admin note: text overlap with arXiv:1205.1417
    - O8 A) C' A) w9 ?9 rSubjects: Statistics Theory (math.ST); Machine Learning (stat.ML)% G" K8 Q$ H! v. c1 _, a# m9 C
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    [3]  arXiv:1305.0617 [pdf, ps, other]Bayesian Manifold Regression
    0 Q7 z9 c& w5 rYun Yang, David B. Dunson
    7 b; w9 y5 I# o$ J2 |Comments: 36 pages, 2 figures/ s3 v9 V1 X% z5 n  H2 ~- D8 R
    Subjects: Statistics Theory (math.ST)
    ( `1 ?- [" l  p" J& V* O
    0 h. m: G3 N1 k: |" b5 V5 s& a/ T5 `) mFri, 3 May 2013[4]  arXiv:1305.0355 [pdf, other]Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition* ^, R' H5 u" v$ |
    Adel Javanmard, Andrea Montanari
    # J- x" z9 x$ k9 `# e; v, \Comments: 32 pages, 3 figures& C' M/ K2 `& }* D& X& R
    Subjects: Statistics Theory (math.ST); Information Theory (cs.IT); Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)
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    2 U( n; }1 k2 t9 ?! f$ M% z[5]  arXiv:1305.0339 [pdf, ps, other]A Note on Central Limit Theorems for Linear Spectral Statistics of Large Dimensional F-matrix/ Y) ~4 T5 }7 t' g
    Shurong Zheng, Zhidong Bai
    7 P0 r" M# R" H4 @- ~Subjects: Statistics Theory (math.ST)4 Q# E* ?' Y' X
    5 v- L3 _  B; A% L
    [6]  arXiv:1305.0274 [pdf, ps, other]Multichannel Deconvolution with Long-Range Dependence: A Minimax Study
    * w) B) l$ L8 K  m+ x4 nRida Benhaddou, Rafal Kulik, Marianna Pensky, Theofanis Sapatinas3 T3 d2 d2 V% A' p0 v0 [- F5 H( b
    Subjects: Statistics Theory (math.ST)
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      h0 }: b4 Y' a' @5 d[7]  arXiv:1305.0539 (cross-list from math.AG) [pdf, other]Tensors of Nonnegative Rank Two% H  X8 ]7 U/ W8 J0 B2 h9 y7 ]/ z3 i" w
    Elizabeth S. Allman, John A. Rhodes, Bernd Sturmfels, Piotr Zwiernik2 g9 f9 u/ \& k# {
    Comments: 22 pages, 1 figure  M; b# k9 Y& F0 u4 H* Y3 x- w
    Subjects: Algebraic Geometry (math.AG); Statistics Theory (math.ST)
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    # I* R$ Y& g2 o1 p% d' UThu, 2 May 2013[8]  arXiv:1305.0179 (cross-list from math.PR) [pdf, other]Species dynamics in the two-parameter Poisson-Dirichlet diffusion model
    : X( u5 L1 B/ b: m" I5 ]$ xMatteo Ruggiero
    + p! g, b, ^# X& ZSubjects: Probability (math.PR); Statistics Theory (math.ST)1 K0 t6 G  k8 Y1 g" F
    ; q# ~" f3 f7 [! x4 i
    Wed, 1 May 2013[9]  arXiv:1304.7914 [pdf, ps, other]A Characterization of Saturated Designs for Factorial Experiments. g! m8 Y0 U$ g3 Z# }
    Roberto Fontana, Fabio Rapallo, Maria-Piera Rogantin2 u% A1 j8 x2 n
    Comments: 18 pages, 1 figure
    - s2 t) K& k4 O, @Subjects: Statistics Theory (math.ST); Methodology (stat.ME)
    2 w8 r% _. l3 z) t' |$ ?1 ]; \$ ]: q. e
    [10]  arXiv:1304.8087 (cross-list from cs.DS) [pdf, other]Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability
    ( f2 I% `6 K; Y* l1 Y0 i+ }Aditya Bhaskara, Moses Charikar, Aravindan Vijayaraghavan
    2 l' E. F+ C/ }5 R; bComments: 51 pages, 2 figures- c5 T0 O+ B9 }9 A1 R) D% s
    Subjects: Data Structures and Algorithms (cs.DS); Learning (cs.LG); Statistics Theory (math.ST); T7 `6 r. b3 Q
    ; T% u6 c) c- }: ~
    [11]  arXiv:1304.8036 (cross-list from math.PR) [pdf, ps, other]n-digit Benford distributed random variables
    # |. A3 S% [6 L# m9 bAzar Khosravani, Constantin Rasinariu
    2 R7 H: x' j7 b; R5 C" IComments: 7 pages, 4 figures1 z+ J: W0 Z" q' F" B  y% X
    Subjects: Probability (math.PR); Statistics Theory (math.ST)
    2 Q/ d2 o: U8 ^# J, q) j% F( U1 C1 N- U4 W/ w9 p7 w
    Tue, 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 function7 w4 n' L5 k: y7 X
    Yousri Slaoui
    4 P* F: _4 b$ d+ j; V) VComments: arXiv admin note: text overlap with arXiv:math/0601429 by other authors& i$ `* R( o* U
    Subjects: Statistics Theory (math.ST)  X8 x9 p/ D+ ?( ^( u
    2 o* C% e1 T2 Y
    [13]  arXiv:1304.7668 [pdf, ps, other]Adaptive estimation under single-index constraint in a regression model
    + O4 \* i3 I2 D% TOleg Lepski, Nora Serdyukova
    ( ~3 u, }* f! n4 S) S+ [" IComments: 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:1111.35637 i$ a! U* g7 E4 C/ J. i
    Subjects: Statistics Theory (math.ST); Probability (math.PR)" U& v" V# X: ~, q# O# V2 w
    , ~! {8 U2 {# i7 T% r# h. E
    [14]  arXiv:1304.7366 [pdf, ps, other]Asymptotically minimax empirical Bayes estimation of a sparse normal mean
    1 _$ f% Q* d8 q  FRyan Martin, Stephen G. Walker9 _; `$ ^& k9 B) n+ N
    Comments: 14 pages, 2 figures, 2 tables, y9 T, z( C4 j# u3 B
    Subjects: Statistics Theory (math.ST)9 r1 |1 t4 |: y, K" l* L% A

    8 f" W7 F9 O" N  ^# y- ]) _1 j6 R[15]  arXiv:1304.7353 [pdf, ps, other]A note on non-parametric Bayesian estimation for Poisson point processes3 `$ v( L- ?; X6 t. Y
    Shota Gugushvili, Peter Spreij
    4 O4 j' s/ d7 [) rComments: 10 pages
    : X) y, M% t: `3 f& rSubjects: Statistics Theory (math.ST)
    & K* G9 c! _- T* J: a* h% C" }$ t0 \8 `) M  K& P

    , y) |$ D4 w0 G$ ^+ @3 o$ S
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