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 i2 w6 w! ?( b4 _ Anthony J Webster - o8 K: K. B5 O" p9 zSubjects: Statistics Theory (math.ST)* S' u' b2 K5 v6 H0 a# |
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[2] arXiv:1305.0630 [pdf, ps, other]Anisotropic oracle inequalities in noisy quantization1 P: O- B, L7 K' f Sébastien Loustau9 q4 U8 D$ u. q# ^3 P' D
Comments: 30 pages. arXiv admin note: text overlap with arXiv:1205.14171 f+ q& A3 E( V% p, s; [
Subjects: Statistics Theory (math.ST); Machine Learning (stat.ML)/ g# B2 ]* z8 i$ ?/ N% j% z
: P d, |: r2 B5 K$ {3 {[3] arXiv:1305.0617 [pdf, ps, other]Bayesian Manifold Regression : k' v* ^7 F" B) g) M; r7 eYun Yang, David B. Dunson7 e7 I- }% q3 b( @0 Y% g
Comments: 36 pages, 2 figures 9 _, o3 T: f2 ~- H2 K0 aSubjects: Statistics Theory (math.ST) 1 R9 a4 T3 `% a9 Z6 ~2 s9 p" m8 } Fri, 3 May 2013[4] arXiv:1305.0355 [pdf, other]Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition 0 I% d5 ]- W! H0 B$ v! l! C7 fAdel Javanmard, Andrea Montanari ( e4 }- N& z$ n& V2 WComments: 32 pages, 3 figures- ^0 b& m2 s1 I
Subjects: Statistics Theory (math.ST); Information Theory (cs.IT); Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML) % {+ z: L: G) I, B# }3 j3 B# F 9 I! r1 P) N2 k2 b9 ~[5] arXiv:1305.0339 [pdf, ps, other]A Note on Central Limit Theorems for Linear Spectral Statistics of Large Dimensional F-matrix( A7 S8 Z L. Y Shurong Zheng, Zhidong Bai : b0 {5 p I( K- f2 c- H N7 LSubjects: Statistics Theory (math.ST)0 s9 _5 x0 I. E* g" A1 S
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[6] arXiv:1305.0274 [pdf, ps, other]Multichannel Deconvolution with Long-Range Dependence: A Minimax Study4 a9 g* m! a- J Rida Benhaddou, Rafal Kulik, Marianna Pensky, Theofanis Sapatinas8 b. c( ^ a1 s; w3 U( m" Y. k
Subjects: Statistics Theory (math.ST)% u3 d5 U# l/ n$ z' G: G- o4 T
5 y1 G+ q2 K- g% [9 B[7] arXiv:1305.0539 (cross-list from math.AG) [pdf, other]Tensors of Nonnegative Rank Two ) v* `/ u, Y' e' N: PElizabeth S. Allman, John A. Rhodes, Bernd Sturmfels, Piotr Zwiernik % ^) S8 W% f! p% F9 ~2 O0 {Comments: 22 pages, 1 figure; n6 }0 K8 \7 q! D- P! D/ o
Subjects: Algebraic Geometry (math.AG); Statistics Theory (math.ST) ( ]3 {3 M0 @& B# H" X9 v. a4 o6 C$ L$ j- Z3 E 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 , b: [ n: o6 v( a" ?- B% iMatteo Ruggiero 5 M; ~" x% H2 f- J0 i* S5 s LSubjects: Probability (math.PR); Statistics Theory (math.ST) 3 v2 a+ s# m/ P {7 n J# s2 W% o Wed, 1 May 2013[9] arXiv:1304.7914 [pdf, ps, other]A Characterization of Saturated Designs for Factorial Experiments # y7 L1 r5 M1 G0 n2 _2 PRoberto Fontana, Fabio Rapallo, Maria-Piera Rogantin% ^) P2 e7 v, v6 J& b3 _3 ^3 s
Comments: 18 pages, 1 figure 2 v. o2 q* K/ J3 M, GSubjects: Statistics Theory (math.ST); Methodology (stat.ME): ^; ~* Z2 D' \$ t8 V
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[10] arXiv:1304.8087 (cross-list from cs.DS) [pdf, other]Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability ( V4 w! A1 ]" P7 f0 X: LAditya Bhaskara, Moses Charikar, Aravindan Vijayaraghavan+ C- Z% G" ]3 {! I8 O! r+ b6 t' c
Comments: 51 pages, 2 figures p8 y8 p6 R( w6 {, g* m, R
Subjects: Data Structures and Algorithms (cs.DS); Learning (cs.LG); Statistics Theory (math.ST)+ a& b" p- N" \; s. y& w
# L# |* @( I! w. m* O, C2 [[11] arXiv:1304.8036 (cross-list from math.PR) [pdf, ps, other]n-digit Benford distributed random variables & R5 R% j! r* ^8 U1 eAzar Khosravani, Constantin Rasinariu1 t, Y6 Z6 e7 `( J* [
Comments: 7 pages, 4 figures# e, Q3 W0 }* R( L c
Subjects: Probability (math.PR); Statistics Theory (math.ST)# y. w2 z1 ?& a, g
# |% p0 L- X1 `7 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 function: J9 J& i) S- G. I& O. d Yousri Slaoui. O# N# x( O# B! C2 K1 c; q9 [) S
Comments: arXiv admin note: text overlap with arXiv:math/0601429 by other authors . K: A4 l! v- t1 ~4 y$ U2 a3 PSubjects: Statistics Theory (math.ST) 6 x2 B# j& K5 {0 g9 G; d( J; P! \5 V6 V, a! V% Q% g
[13] arXiv:1304.7668 [pdf, ps, other]Adaptive estimation under single-index constraint in a regression model " s9 b$ @) l* U/ a+ UOleg Lepski, Nora Serdyukova+ {& J6 r9 T! t" ^7 a$ ~8 {( M9 a. \
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 6 W) \3 @+ ]- x& y7 BSubjects: Statistics Theory (math.ST); Probability (math.PR)6 L+ x0 I k+ Z% r) [+ B
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[14] arXiv:1304.7366 [pdf, ps, other]Asymptotically minimax empirical Bayes estimation of a sparse normal mean # l& j- W! ]2 q: L9 }' S9 b$ ?Ryan Martin, Stephen G. Walker 5 t" d0 a( y, r" oComments: 14 pages, 2 figures, 2 tables , C. U1 E, n+ w# X) E5 qSubjects: Statistics Theory (math.ST) 3 E0 f0 @* t9 V1 G1 _; s* j& N7 U v6 ~/ g9 e9 i: a
[15] arXiv:1304.7353 [pdf, ps, other]A note on non-parametric Bayesian estimation for Poisson point processes7 X" v8 z7 _: n& ]5 a4 F! V, e Shota Gugushvili, Peter Spreij 0 n% `/ D1 Y. l* {Comments: 10 pages. g" ?: A1 I ~5 N. E* M
Subjects: Statistics Theory (math.ST)/ z8 f: z1 {5 m % P: }* y* T" Y% e h0 P# y 4 m& k2 m& P5 ~) c; a* f |
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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~~~~
