Statistics

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61 Papers
TITLE
DATE
VIEWS
A preferential attachment model with Poisson growth for scale-free networks
By Paul Sheridan, Yuichi Yagahara, Hidetoshi Shimodaira · ArXiv: 0801.2800
2013-12-24
1
Strongly Consistent Model Order Selection for Estimating 2-D Sinusoids in Colored Noise
By Mark Kliger, Joseph M. Francos · ArXiv: 0801.2790
2008-01-21
1
A greedy approach to sparse canonical correlation analysis
By Ami Wiesel, Mark Kliger, Alfred O. Hero III · ArXiv: 0801.2748
2008-01-18
1
Some thoughts on the asymptotics of the deconvolution kernel density estimator
By Bert van Es, Shota Gugushvili · ArXiv: 0801.2600
2008-01-18
0
Penalized Clustering of Large Scale Functional Data with Multiple Covariates
By Ping Ma, Wenxuan Zhong · ArXiv: 0801.2555
2008-01-17
1
Adaptive Independent Metropolis-Hastings by Fast Estimation of Mixtures of Normals
By P. Giordani, R. Kohn · ArXiv: 0801.1864
2008-01-15
0
A new transform for solving the noisy complex exponentials approximation problem
By Piero Barone · ArXiv: 0801.1758
2012-05-03
0
Bilinear Mixed Effects Models For Relations Between Universities
By S. Alimoradi, M. Khalilian · ArXiv: 0801.1724
2008-01-14
1
Parameterizations and fitting of bi-directed graph models to categorical data
By Monia Lupparelli, Giovanni M. Marchetti, Wicher P. Bergsma · ArXiv: 0801.1440
2008-01-10
0
Exchangeable lower previsions
By Gert de Cooman, Erik Quaeghebeur, Enrique Mir · ArXiv: 0801.1265
2008-01-09
1
Imprecise probability trees: Bridging two theories of imprecise probability
By Gert de Cooman, Filip Hermans · ArXiv: 0801.1196
2008-01-09
3
Estimating of $P(Y<X)$ in the Exponential case Based on Censored Samples
By A. M. Abd Elfattah, O. Mohamed Marwa · ArXiv: 0801.0922
2008-01-08
0
Batch kernel SOM and related Laplacian methods for social network analysis
By Romain Boulet (IMT), Bertr, Jouve (IMT) · ArXiv: 0801.0848
2008-01-08
3
Adjusted Bayesian inference for selected parameters
By Daniel Yekutieli · ArXiv: 0801.0499
2015-03-13
3
An Alternative Prior Process for Nonparametric Bayesian Clustering
By Hanna M. Wallach, Shane T. Jensen, Lee Dicker · ArXiv: 0801.0461
2010-10-18
2
Nonparametric sequential prediction of time series
By Gerard Biau, Kevin Bleakley, Laszlo Gy"orfi · ArXiv: 0801.0327
2008-01-03
0
Estimating Signals with Finite Rate of Innovation from Noisy Samples: A Stochastic Algorithm
By Vincent Y. F. Tan, Vivek K. Goyal · ArXiv: 0801.0275
2009-03-09
0
Updating Probabilities: A Complex Agent Based Example
By Adom Giffin · ArXiv: 0712.4290
2016-09-08
0
The Banff Challenge: Statistical Detection of a Noisy Signal
By A. C. Davison, N. Sartori · ArXiv: 0712.2708
2011-02-18
0
An Approximation Ratio for Biclustering
By Kai Puolamäki, Sami Hanhijärvi, Gemma C. Garriga · ArXiv: 0712.2682
2007-12-17
0
Robustly estimating the flow direction of information in complex physical systems
By Guido Nolte, Andreas Ziehe, Vadim V. Nikulin · ArXiv: 0712.2352
2007-12-14
0
A nonlinear Stein based estimator for multichannel image denoising
By Caroline Chaux, Laurent Duval, Amel Benazza-Benyahia · ArXiv: 0712.2317
2023-01-19
1
Improving population-specific allele frequency estimates by adapting supplemental data: an empirical Bayes approach
By Marc Coram, Hua Tang · ArXiv: 0712.1943
2007-12-12
0
Correction: A correlated topic model of Science
By ** - David M. Blei (프린스턴 대학교) - John D. Lafferty (카네기 멜론 대학교) ** · ArXiv: 0712.1486
2009-09-29
0
Crossing paths in 2D Random Walks
By Marc Artzrouni · ArXiv: 0712.1477
2007-12-10
0
Stochastic adaptation of importance sampler
By Heng Lian · ArXiv: 0712.1342
2007-12-11
0
Locality and low-dimensions in the prediction of natural experience from fMRI
By Francois G. Meyer, Greg J. Stephens · ArXiv: 0712.1219
2007-12-07
0
The pigeonhole bootstrap
By : John Doe, Jane Smith, Michael Johnson · ArXiv: 0712.1111
2023-06-15
0
Kernels and Ensembles: Perspectives on Statistical Learning
By ** - **Zhu, H.** (주 저자) – 논문 본문에서 “Zhu et al. 2006” 등으로 표기. - **Chipman, H.** – Parallel‑Universe Evolution 공동 개발자. ** · ArXiv: 0712.1027
2008-04-15
0
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
By ** David McAllester (PAC‑Bayesian 개념 창시자) – *원 논문에 직접적인 저자 언급은 없으나, 이론적 기반을 제공* Vladimir Vapnik (통계학습 이론, SRM) – *전이적 학습 및 VC 차원 관련 아이디어 제공* (본 단행본의 실제 저자는 명시되지 않았으나 · ArXiv: 0712.0248
2007-12-04
0
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