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Results 1 to 25 of 1890

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A Remark on the Paper A Note on Directional Dependence in Regression Setting By Engin A. SungurMUDDAPUR, M. V.Communications in statistics. Theory and methods. 2008, Vol 37, Num 3-5, pp 386-387, issn 0361-0926, 2 p.Article

An insight into linear calibration: univariate caseLIAO, Jason J. Z.Statistics & probability letters. 2002, Vol 56, Num 3, pp 271-281, issn 0167-7152Article

On optimality of the Benjamini-Hochberg procedure for the false discovery rateWENGE GUO; BHASKARA RAO, M.Statistics & probability letters. 2008, Vol 78, Num 14, pp 2024-2030, issn 0167-7152, 7 p.Article

Nonparametric regression estimation for dependent functional data: asymptotic normalityMASRY, Elias.Stochastic processes and their applications. 2005, Vol 115, Num 1, pp 155-177, issn 0304-4149, 23 p.Article

Partial one-dimensional regression modelsCOOK, R. Dennis; WEISBERG, Sanford.The American statistician. 2004, Vol 58, Num 2, pp 110-116, issn 0003-1305, 7 p.Article

Exploring interactions in high-dimensional genomic data: an overview of Logic Regression, with applicationsRUCZINSKI, Ingo; KOOPERBERG, Charles; LEBLANC, Michael L et al.Journal of multivariate analysis. 2004, Vol 90, Num 1, pp 178-195, issn 0047-259X, 18 p.Article

Pooled slicing methods versus slicing methodsSARACCO, Jérome.Communications in statistics. Simulation and computation. 2001, Vol 30, Num 3, pp 489-511, issn 0361-0918Article

Spurious regression and lurking variablesGARCIA-BELMONTE, Lizeth; VENTOSA-SANTAULARIA, Daniel.Statistics & probability letters. 2011, Vol 81, Num 12, pp 2004-2010, issn 0167-7152, 7 p.Article

A method to sparsify the solution of support vector regressionGAO GUO; ZHANG, Jiang-She; ZHANG, Gai-Ying et al.Neural computing & applications (Print). 2010, Vol 19, Num 1, pp 115-122, issn 0941-0643, 8 p.Article

Anomalies in the Foundations of Ridge Regression: Some ClarificationsKAPAT, Prasenjit; GOEL, Prem K.International statistical review. 2010, Vol 78, Num 2, pp 209-215, issn 0306-7734, 7 p.Article

Rating teams and analysing outcomes in one-day and test cricketALLSOPP, P. E; CLARKE, Stephen R.Journal of the Royal Statistical Society. Series A. Statistics in society (Print). 2004, Vol 167, pp 657-667, issn 0964-1998, 11 p., 4Article

STRUCTURED, SPARSE REGRESSION WITH APPLICATION TO HIV DRUG RESISTANCEPERCIVAL, Daniel; ROEDER, Kathryn; ROSENFELD, Roni et al.The Annals of applied statistics. 2011, Vol 5, Num 2, pp 628-644, issn 1932-6157, 17 p.Article

Estimation locale linéaire de la densité conditionnelle pour des données fonctionnelles = Local linear estimation of the conditional density for functional dataDEMONGEOT, Jacques; LAKSACI, Ali; MADANI, Fethi et al.Comptes rendus. Mathématique. 2010, Vol 348, Num 15-16, pp 931-934, issn 1631-073X, 4 p.Article

DASSO : connections between the Dantzig selector and lassoJAMES, Gareth M; RADCHENKO, Peter; JINCHI LV et al.Journal of the Royal Statistical Society. Series B, statistical methodology. 2009, Vol 71, pp 127-142, issn 1369-7412, 16 p., 1Article

Generalized Quasi-RegressionYANG, Gui-Jun.Communications in statistics. Simulation and computation. 2008, Vol 37, Num 3-5, pp 731-745, issn 0361-0918, 15 p.Article

Correcting MM estimates for fat data sets : Variable selection and robust proceduresMARONNA, Ricardo A; YOHAI, Victor J.Computational statistics & data analysis. 2010, Vol 54, Num 12, pp 3168-3173, issn 0167-9473, 6 p.Article

A method to sparsify the solution of support vector regressionGAO GUO; ZHANG, Jiang-She; ZHANG, Gai-Ying et al.Neural computing & applications (Print). 2009, Vol 18, Num 8, pp 919-926, issn 0941-0643, 8 p.Article

Leave-one-out bounds for support vector ordinal regression machineZHIXIA YANG; YINGJIE TIAN; DENG, Naiyang et al.Neural computing & applications (Print). 2009, Vol 18, Num 7, pp 731-748, issn 0941-0643, 18 p.Article

Boosting and instability for regression treesGEY, Servane; POGGI, Jean-Michel.Computational statistics & data analysis. 2006, Vol 50, Num 2, pp 533-550, issn 0167-9473, 18 p.Article

An extreme learning machine approach for speaker recognition : Extreme Learning Machines Theory & ApplicationsYUAN LAN; ZONGJIANG HU; YENG CHAI SOH et al.Neural computing & applications (Print). 2013, Vol 22, Num 3-4, pp 417-425, issn 0941-0643, 9 p.Article

Interval estimation of the mean difference in the analysis of over-dispersed count dataSAHA, Krishna K.Biometrical journal. 2013, Vol 55, Num 1, pp 114-133, issn 0323-3847, 20 p.Article

Prediction of unconfined compressive strength of rock surrounding a roadway using artificial neural networkMAJDI, Abbas; REZAEI, Mohammad.Neural computing & applications (Print). 2013, Vol 23, Num 2, pp 381-389, issn 0941-0643, 9 p.Article

Adjusting ROC curves for covariates in the presence of verification biasFLUSS, Ronen; REISER, Benjamin; FARAGGI, David et al.Journal of statistical planning and inference. 2012, Vol 142, Num 1, pp 1-11, issn 0378-3758, 11 p.Article

Bias corrected estimation for generalized probit regression with covariate measurement error and censored responsesYUEQIN WU; MINGGAO GU.Journal of statistical planning and inference. 2012, Vol 142, Num 1, pp 221-231, issn 0378-3758, 11 p.Article

Inference about clustering and parametric assumptions in covariance matrix estimationPACKALEN, Mikko; WIRJANTO, Tony S.Computational statistics & data analysis. 2012, Vol 56, Num 1, pp 1-14, issn 0167-9473, 14 p.Article

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