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ISSN: 2333-9721
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Statistics

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主页: http://arxiv.org/archive/stat

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Rare event computation in deterministic chaotic systems using genealogical particle analysis

Jeroen Wouters,Freddy Bouchet

Jeffreys priors for mixture estimation

Clara Grazian,Christian Robert

Generalized Multiple Importance Sampling

Víctor Elvira,Luca Martino,David Luengo,Mónica F. Bugallo

L1 Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs

Matey Neykov,Jun S. Liu,Tianxi Cai

Gradient Estimation with Simultaneous Perturbation and Compressive Sensing

Vivek S. Borkar,Vikranth R. Dwaracherla,Neeraja Sahasrabudhe

A General Framework for Constrained Bayesian Optimization using Information-based Search

José Miguel Hernández-Lobato,Michael A. Gelbart,Ryan P. Adams,Matthew W. Hoffman,Zoubin Ghahramani

Joint Inverse Covariances Estimation with Mutual Linear Structure

Ilya Soloveychik,Ami Wiesel

Compressed and quantized correlation estimators

Augusto Zebadua,Pierre-Olivier Amblard,Eric Moisan,Olivier . J. J. Michel

Maximum Likelihood Estimation for Single Linkage Hierarchical Clustering

Dekang Zhu,Dan P. Guralnik,Xuezhi Wang,Xiang Li,Bill Moran

Estimating the number of unseen species: How far can one foresee?

Alon Orlitsky,Ananda Theertha Suresh,Yihong Wu

Black box variational inference for state space models

Evan Archer,Il Memming Park,Lars Buesing,John Cunningham,Liam Paninski

Dictionary descent in optimization

Vladimir Temlyakov

Lasso based feature selection for malaria risk exposure prediction

Bienvenue Kouwayè,No？l Fonton,Fabrice Rossi

PCA-Based Out-of-Sample Extension for Dimensionality Reduction

Yariv Aizenbud,Amit Bermanis,Amir Averbuch

Predictive Entropy Search for Multi-objective Bayesian Optimization

Daniel Hernández-Lobato,José Miguel Hernández-Lobato,Amar Shah,Ryan P. Adams

Local entropy as a measure for sampling solutions in Constraint Satisfaction Problems

Carlo Baldassi,Alessandro Ingrosso,Carlo Lucibello,Luca Saglietti,Riccardo Zecchina

Stochastic gradient method with accelerated stochastic dynamics

Masayuki Ohzeki

The Kernel Two-Sample Test for Brain Networks

Emanuele Olivetti,Sandro Vega-Pons,Paolo Avesani

Bayesian hypothesis testing for one bit compressed sensing with sensing matrix perturbation

H. Zayyani,M. Korki,F. Marvasti

Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces

William Herlands,Andrew Wilson,Hannes Nickisch,Seth Flaxman,Daniel Neill,Wilbert van Panhuis,Eric Xing

Measurement of top quark polarisation in t-channel single top quark production

CMS Collaboration

The Expected Norm of a Sum of Independent Random Matrices: An Elementary Approach

Joel A. Tropp

Evidence for simultaneous production of $J/ψ$ and $Υ$ mesons

D0 Collaboration

Entropy production for asymmetric diffusion of particles

M. O. Hase,T. Tomé,M. J. de Oliveira

On matrix estimation under monotonicity constraints

Sabyasachi Chatterjee,Adityanand Guntuboyina,Bodhisattva Sen

A Robust Method for Shift Detection in Time Series

Herold Dehling,Roland Fried,Martin Wendler

Statistical inference in semiparametric locally stationary ARCH models

Lionel Truquet

Consistency of likelihood estimation for Gibbs point processes

David Dereudre,Frédéric Lavancier

Rate of Convergence for Smoothing Splines with Unknown Data Association

Matthew Thorpe,Adam M. Johansen

Efficiency of delayed-acceptance random walk Metropolis algorithms

Chris Sherlock,Alexandre Thiery,Andrew Golightly

Variable selection in multiple regression with random design

Alban Mbina Mbina,Guy Martial Nkiet,Assi Nguessan

Cumulants of products of Normally distributed random variables

Clarence Kalitsi,Jan Vrbik

Confidence Intervals for High-Dimensional Linear Regression: Minimax Rates and Adaptivity

T. Tony Cai,Zijian Guo

A stochastic density matrix approach to approximation of probability distributions and its application to nonlinear systems

Igor G. Vladimirov

The Gaussian Moments Conjecture and the Jacobian Conjecture

Harm Derksen,Arno van den Essen,Wenhua Zhao

A new V-fold type procedure based on robust tests

Lucien Birgé,Nelo Magalh？es,Pascal Massart

Consistency of Bayesian nonparametric inference for discretely observed jump diffusions

Jere Koskela,Dario Spano,Paul A. Jenkins

Palm distributions for log Gaussian Cox processes

Jean-Fran？ois Coeurjolly,Jesper M？ller,Rasmus Waagepetersen

Sampling with Costs

Joseph D. Skufca,Daniel ben-Avraham

The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements

Chrtistos Thrampoulidis,Ehsan Abbasi,Babak Hassibi

Weak convergence of the empirical process and the rescaled empirical distribution function in the Skorokhod product space

Dietmar Ferger,Daniel Vogel

Asymptotic properties of multivariate tapering for estimation and prediction

R. Furrer,F. Bachoc,J. Du

Autoregressive functions estimation in nonlinear bifurcating autoregressive models

Siméon Valère Bitseki Penda,Adéla？de Olivier

A Remark on Baserunning risk: Waiting Can Cost You the Game

Peter MacDonald,Dan McQuillan,Ian McQuillan

Longitudinal high-dimensional principal components analysis with application to diffusion tensor imaging of multiple sclerosis

Vadim Zipunnikov,Sonja Greven,Haochang Shou,Brian S. Caffo,Daniel S. Reich,Ciprian M. Crainiceanu

Bayesian Approach to Handling Informative Sampling

Anna Sikov

Bump detection in heterogeneous Gaussian regression

Farida Enikeeva,Axel Munk,Frank Werner

Partially Thermostated Kac Model

Hagop Tossounian,Ranjini Vaidyanathan

Uncertainties in The Interstellar Extinction Curve and the Cepheid Distance to M101

David M. Nataf

Pre-relaxation in weakly interacting models

Bruno Bertini,Maurizio Fagotti

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