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 9 F# U$ ?: w& y. Q, ?3 |+ q/ N O: fAnthony J Webster o% Q" x2 l% q/ b. `
Subjects: Statistics Theory (math.ST)+ F0 F: a! q2 f# {
& G @, E: v5 z- Q3 q9 p[2] arXiv:1305.0630 [pdf, ps, other]Anisotropic oracle inequalities in noisy quantization ; n, h1 R& ~) K6 U( v1 P5 }! {- pSébastien Loustau 3 p2 x/ u% F& B0 WComments: 30 pages. arXiv admin note: text overlap with arXiv:1205.14173 N& V0 i1 R: Y/ Z1 j( g! R! Y, N
Subjects: Statistics Theory (math.ST); Machine Learning (stat.ML)5 z& @! p3 }) X: w4 T/ Q
- r% v5 V- y! L4 b& s2 n' c9 B[3] arXiv:1305.0617 [pdf, ps, other]Bayesian Manifold Regression $ b- C2 k0 U MYun Yang, David B. Dunson ( Y" V- O: q$ p& _6 o, c2 cComments: 36 pages, 2 figures " T8 F% w. O& j/ F+ R$ v) }9 ]Subjects: Statistics Theory (math.ST) - w' I: z- Z/ t3 T4 {) h3 b4 o+ L( p6 i Fri, 3 May 2013[4] arXiv:1305.0355 [pdf, other]Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition 5 m5 }0 `/ ~+ xAdel Javanmard, Andrea Montanari' @- W/ ] B7 [7 l
Comments: 32 pages, 3 figures & Z3 G% ^$ V" }! MSubjects: Statistics Theory (math.ST); Information Theory (cs.IT); Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML) + h0 R/ x, y |4 Y2 g, n $ y! m$ g N& A( d5 q[5] arXiv:1305.0339 [pdf, ps, other]A Note on Central Limit Theorems for Linear Spectral Statistics of Large Dimensional F-matrix / G; M, z3 l1 O, j" t0 m KShurong Zheng, Zhidong Bai) l% J7 h& c. b) d$ E5 X
Subjects: Statistics Theory (math.ST) , A. [' d H. Z' ~% w- m4 z p, x7 t% e9 ^. p' e$ d) ?
[6] arXiv:1305.0274 [pdf, ps, other]Multichannel Deconvolution with Long-Range Dependence: A Minimax Study+ z# Q8 M. M. W1 O$ r6 K' `$ D2 | Rida Benhaddou, Rafal Kulik, Marianna Pensky, Theofanis Sapatinas: `5 h" b/ Y) B4 q W
Subjects: Statistics Theory (math.ST)" j1 O$ [3 z S) r
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[7] arXiv:1305.0539 (cross-list from math.AG) [pdf, other]Tensors of Nonnegative Rank Two + J: _9 m) T5 B( L+ y& S1 QElizabeth S. Allman, John A. Rhodes, Bernd Sturmfels, Piotr Zwiernik! {6 X0 F' m3 w4 n' H' y4 x
Comments: 22 pages, 1 figure8 j- R; k* X% B
Subjects: Algebraic Geometry (math.AG); Statistics Theory (math.ST): t% \) W0 t5 S: t, D( I! Y; J+ G
) a) i: F, W' G4 Y3 UThu, 2 May 2013[8] arXiv:1305.0179 (cross-list from math.PR) [pdf, other]Species dynamics in the two-parameter Poisson-Dirichlet diffusion model8 N6 l' [% ^# k: V Matteo Ruggiero( M! O7 U& K8 Z' C( f. I
Subjects: Probability (math.PR); Statistics Theory (math.ST) ! m% w; F" K6 g 8 y; b: X$ O( l/ }Wed, 1 May 2013[9] arXiv:1304.7914 [pdf, ps, other]A Characterization of Saturated Designs for Factorial Experiments " L- g$ B! |9 `. A. uRoberto Fontana, Fabio Rapallo, Maria-Piera Rogantin & w) N' L% g6 oComments: 18 pages, 1 figure ; c, X X) C& }Subjects: Statistics Theory (math.ST); Methodology (stat.ME) 0 ^- o( }0 e. p8 ]4 C4 E, s% J: z( O" v% A; O6 P$ o
[10] arXiv:1304.8087 (cross-list from cs.DS) [pdf, other]Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability ( ~ ~+ s0 C" J& `( v5 D5 ]Aditya Bhaskara, Moses Charikar, Aravindan Vijayaraghavan$ a3 w; E+ B/ c: L1 N+ ~ Q* a0 [3 d
Comments: 51 pages, 2 figures / Q+ d7 |8 U, x5 p7 hSubjects: Data Structures and Algorithms (cs.DS); Learning (cs.LG); Statistics Theory (math.ST)9 ?$ _/ x2 l4 M$ G+ u
7 B2 F E2 w3 O, X9 n) W[11] arXiv:1304.8036 (cross-list from math.PR) [pdf, ps, other]n-digit Benford distributed random variables/ F, c& x# ?& v Azar Khosravani, Constantin Rasinariu 0 y, T2 n) O" Q/ fComments: 7 pages, 4 figures6 J4 j3 @( R/ F) \# r" Y
Subjects: Probability (math.PR); Statistics Theory (math.ST) ! V4 J, I2 l, R9 c0 S* d, B r' L 0 \5 G- p6 \4 h, \3 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% |8 }% x& X5 n3 \2 K3 r! _ Yousri Slaoui % {2 ~1 R$ U8 a5 k |8 Z* C2 D2 }Comments: arXiv admin note: text overlap with arXiv:math/0601429 by other authors & _9 U' X* _% T. ?Subjects: Statistics Theory (math.ST)1 |4 Z$ }9 v& ?6 G, A* M3 R
* V! x0 X6 \8 `6 w& m; ?6 ][13] arXiv:1304.7668 [pdf, ps, other]Adaptive estimation under single-index constraint in a regression model : V2 M1 v. i0 @6 nOleg Lepski, Nora Serdyukova8 e3 j0 i7 Q. z' }0 ?; W. Y
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:1111.3563 " v% O& g+ K; S6 ESubjects: Statistics Theory (math.ST); Probability (math.PR) ' [1 \1 o; I. O' k/ u+ `6 J( i& g" |0 M% d' s
[14] arXiv:1304.7366 [pdf, ps, other]Asymptotically minimax empirical Bayes estimation of a sparse normal mean8 Q) A. l! L7 @: ~1 q Ryan Martin, Stephen G. Walker % C. v* }6 V. { {8 H, [. yComments: 14 pages, 2 figures, 2 tables 4 B2 E0 P/ W$ A( _; _( `1 cSubjects: Statistics Theory (math.ST)2 @/ B( ?" q- m t, s# C5 }/ F) g
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[15] arXiv:1304.7353 [pdf, ps, other]A note on non-parametric Bayesian estimation for Poisson point processes 7 Q7 H3 t+ q# z* p2 kShota Gugushvili, Peter Spreij0 b9 O. u; l5 Y* N) ?6 D
Comments: 10 pages 3 b' `8 E/ ~$ j9 m7 m. T N; USubjects: Statistics Theory (math.ST) / U7 |8 G1 b* R- V. e8 r. ^4 m; p+ t) _
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发表于 2013-5-6 16:11
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发表于 2013-5-8 09:56
学习的哈~~~~
