Mon, 6 May 2013[1] arXiv:1305.0764 [pdf, ps, other]Calculation of Exact Estimators by Integration Over the Surface of an n-Dimensional Sphere5 i) A0 p' @4 |6 n& B Anthony J Webster 0 ^/ c5 q! ?1 }1 ?2 r, M6 a' kSubjects: Statistics Theory (math.ST)6 ?, V k+ P- h9 @4 Z* g/ ^8 v
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[2] arXiv:1305.0630 [pdf, ps, other]Anisotropic oracle inequalities in noisy quantization " X; e4 @( k' D. u4 fSébastien Loustau % n8 Z/ }1 `4 c+ [4 H% ~Comments: 30 pages. arXiv admin note: text overlap with arXiv:1205.1417" Y1 D1 s/ m3 K4 | Q. Y' R
Subjects: Statistics Theory (math.ST); Machine Learning (stat.ML)! C6 @9 Z8 X: @* x+ J' T
1 K3 A+ [7 c# L& w% y4 ~" o% ^[3] arXiv:1305.0617 [pdf, ps, other]Bayesian Manifold Regression0 F8 o3 @( |" N# Y Yun Yang, David B. Dunson' u2 G5 {: f4 g8 Z5 ^
Comments: 36 pages, 2 figures) u( c3 {5 Y' q! U2 X6 ]: k
Subjects: Statistics Theory (math.ST) ! h9 B- P6 o4 l6 f) O. }! E 1 X8 U: Z# C4 L0 |Fri, 3 May 2013[4] arXiv:1305.0355 [pdf, other]Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition9 ]; Q5 l1 _ W* s6 B Adel Javanmard, Andrea Montanari" W1 Z% c+ ]- ]5 W8 J
Comments: 32 pages, 3 figures( B" ^6 ^2 k+ i) S
Subjects: Statistics Theory (math.ST); Information Theory (cs.IT); Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)6 B, H& M: g& T0 @5 a
* N4 g- | v7 `3 V& p: H+ g[5] arXiv:1305.0339 [pdf, ps, other]A Note on Central Limit Theorems for Linear Spectral Statistics of Large Dimensional F-matrix $ [2 @' I2 z" t, A: V" VShurong Zheng, Zhidong Bai ) g5 d0 j V9 G. S( XSubjects: Statistics Theory (math.ST) 3 j! |6 e- Q$ Y" |' M( j4 n' `# p. y& `( d" p, m6 {8 D
[6] arXiv:1305.0274 [pdf, ps, other]Multichannel Deconvolution with Long-Range Dependence: A Minimax Study . u( T0 _2 i5 d+ f3 D8 C. A* YRida Benhaddou, Rafal Kulik, Marianna Pensky, Theofanis Sapatinas- W- V, M6 \. e7 x$ N$ ]
Subjects: Statistics Theory (math.ST) ! `6 C9 s1 ` m s; K. F5 w- @% X* a G6 J+ ^
[7] arXiv:1305.0539 (cross-list from math.AG) [pdf, other]Tensors of Nonnegative Rank Two* a4 a7 Q+ i5 Z" y$ }" S H Elizabeth S. Allman, John A. Rhodes, Bernd Sturmfels, Piotr Zwiernik1 M5 s. U& u/ C5 K6 D1 y7 f
Comments: 22 pages, 1 figure # Q( R+ v, a5 n$ CSubjects: Algebraic Geometry (math.AG); Statistics Theory (math.ST) 4 h$ k+ I/ L6 z$ f0 P- K * b2 Z0 [4 v8 VThu, 2 May 2013[8] arXiv:1305.0179 (cross-list from math.PR) [pdf, other]Species dynamics in the two-parameter Poisson-Dirichlet diffusion model 0 ]2 {3 T# j2 C2 x# ?/ `Matteo Ruggiero+ m" c8 @1 h. }7 M
Subjects: Probability (math.PR); Statistics Theory (math.ST) : z$ K/ Q& ~7 H, N 3 Z8 R" G% ]- t- c" F2 G* P( yWed, 1 May 2013[9] arXiv:1304.7914 [pdf, ps, other]A Characterization of Saturated Designs for Factorial Experiments6 k8 D) {$ G. M0 Z# Y Roberto Fontana, Fabio Rapallo, Maria-Piera Rogantin B. Y. t. J" T) `3 @
Comments: 18 pages, 1 figure - h( c O- D" n1 n: x" jSubjects: Statistics Theory (math.ST); Methodology (stat.ME) + J' J: C2 N' |" N+ g. H8 L: n, _/ E- e& x& [. P
[10] arXiv:1304.8087 (cross-list from cs.DS) [pdf, other]Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability; p- [' K$ H4 p( w Aditya Bhaskara, Moses Charikar, Aravindan Vijayaraghavan* w, ]6 s1 v. c: \' U0 j# Z
Comments: 51 pages, 2 figures ; E; Z1 [& X0 qSubjects: Data Structures and Algorithms (cs.DS); Learning (cs.LG); Statistics Theory (math.ST): P6 v# O/ O2 ?, Y: A
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[11] arXiv:1304.8036 (cross-list from math.PR) [pdf, ps, other]n-digit Benford distributed random variables3 [* m4 _- V9 \+ w' O4 d- N Azar Khosravani, Constantin Rasinariu3 @. S8 i" Y- M* L/ q9 C
Comments: 7 pages, 4 figures ; y5 b/ q' }6 b# PSubjects: Probability (math.PR); Statistics Theory (math.ST)1 P5 u& }' p# J/ g; j
) X2 m( T- V& C; h0 f5 OTue, 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- T, ], i, ]4 ` Yousri Slaoui 5 g" W. \3 v' D; Z) T* I I2 ]7 wComments: arXiv admin note: text overlap with arXiv:math/0601429 by other authors3 V! W$ Q8 P4 o$ e& g2 }5 a
Subjects: Statistics Theory (math.ST)4 d$ g% G3 I, M' n6 H* J
7 n# v7 B; F7 |. m; S# M[13] arXiv:1304.7668 [pdf, ps, other]Adaptive estimation under single-index constraint in a regression model9 g, M2 @$ m4 E* J4 {' P Oleg Lepski, Nora Serdyukova 6 A. `1 [- s! G3 z9 DComments: 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% \7 E( `' m" N( C7 O& U
Subjects: Statistics Theory (math.ST); Probability (math.PR)5 [/ I5 V( |7 k+ M0 X8 a* ?: F+ L* W
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[14] arXiv:1304.7366 [pdf, ps, other]Asymptotically minimax empirical Bayes estimation of a sparse normal mean # W, J0 D5 D+ L# j0 ]9 t' gRyan Martin, Stephen G. Walker 2 U0 W2 v- {. L/ j3 LComments: 14 pages, 2 figures, 2 tables " ~: S' q% v) r+ c8 u8 h" p QSubjects: Statistics Theory (math.ST) 1 I. g+ Q1 d5 T& o0 k* l 0 r0 ] T% ]% x. T6 G p[15] arXiv:1304.7353 [pdf, ps, other]A note on non-parametric Bayesian estimation for Poisson point processes 2 i! V' H V( D7 _+ T! T0 {. M. Y0 vShota Gugushvili, Peter Spreij" E" x& Y! r9 J; n9 B) u9 U
Comments: 10 pages/ H5 b6 v I H% m8 Q P
Subjects: Statistics Theory (math.ST) 4 ~" }( L# E+ @/ K# p- ]9 v3 q" y2 U7 ]! }( J
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