| Year |
Citation |
Score |
| 2020 |
Pannu J, Billor N. Robust sparse functional regression model Communications in Statistics - Simulation and Computation. 1-21. DOI: 10.1080/03610918.2020.1767784 |
0.439 |
|
| 2019 |
Turkmen AS, Yuan Y, Billor N. Evaluation of methods for adjusting population stratification in genome-wide association studies: Standard versus categorical principal component analysis. Annals of Human Genetics. PMID 31322288 DOI: 10.1111/Ahg.12339 |
0.675 |
|
| 2018 |
Lima IR, Cao G, Billor N. Robust simultaneous inference for the mean function of functional data Test. 28: 785-803. DOI: 10.1007/S11749-018-0598-Y |
0.428 |
|
| 2018 |
Lima IR, Cao G, Billor N. M-based simultaneous inference for the mean function of functional data Annals of the Institute of Statistical Mathematics. 71: 577-598. DOI: 10.1007/S10463-018-0656-Y |
0.414 |
|
| 2017 |
Acquah GE, Via BK, Fasina OO, Adhikari S, Billor N, Eckhardt LG. Chemometric modeling of thermogravimetric data for the compositional analysis of forest biomass. Plos One. 12: e0172999. PMID 28253322 DOI: 10.1371/Journal.Pone.0172999 |
0.312 |
|
| 2016 |
Acquah GE, Via BK, Billor N, Fasina OO, Eckhardt LG. Identifying Plant Part Composition of Forest Logging Residue Using Infrared Spectral Data and Linear Discriminant Analysis. Sensors (Basel, Switzerland). 16. PMID 27618901 DOI: 10.3390/S16091375 |
0.308 |
|
| 2015 |
Pannu J, Billor N. Robust group-Lasso for functional regression model Communications in Statistics - Simulation and Computation. 46: 3356-3374. DOI: 10.1080/03610918.2015.1096375 |
0.387 |
|
| 2014 |
Magnotti JF, Billor N. Finding multivariate outliers in fMRI time-series data. Computers in Biology and Medicine. 53: 115-24. PMID 25129023 DOI: 10.1016/J.Compbiomed.2014.05.010 |
0.438 |
|
| 2014 |
Denhere M, Billor N. Robust Principal Component Functional Logistic Regression Communications in Statistics - Simulation and Computation. 45: 264-281. DOI: 10.1080/03610918.2013.861628 |
0.398 |
|
| 2013 |
Hogland J, Billor N, Anderson N. Comparison of standard maximum likelihood classification and polytomous logistic regression used in remote sensing European Journal of Remote Sensing. 46: 623-640. DOI: 10.5721/Eujrs20134637 |
0.44 |
|
| 2013 |
Turkmen AS, Billor N. Influence Function Analysis for the Robust Partial Least Squares (RoPLS) Estimator Communications in Statistics - Theory and Methods. 42: 2818-2836. DOI: 10.1080/03610926.2011.620213 |
0.693 |
|
| 2013 |
Lee S, Shin H, Billor N. -type smoothing spline estimators for principal functions Computational Statistics & Data Analysis. 66: 89-100. DOI: 10.1016/J.Csda.2013.03.022 |
0.468 |
|
| 2012 |
Turkmen A, Billor N. Partial least squares classification for high dimensional data using the PCOUT algorithm Computational Statistics. 28: 771-788. DOI: 10.1007/S00180-012-0328-Y |
0.699 |
|
| 2011 |
Sawant P, Billor N, Shin H. Functional outlier detection with robust functional principal component analysis Computational Statistics. 27: 83-102. DOI: 10.1007/S00180-011-0239-3 |
0.471 |
|
| 2009 |
Mostafa MM, Billor N. Recognition of Western style musical genres using machine learning techniques Expert Systems With Applications. 36: 11378-11389. DOI: 10.1016/J.Eswa.2009.03.050 |
0.312 |
|
| 2008 |
Billor N, Kiral G. A Comparison of Multiple Outlier Detection Methods for Regression Data Communications in Statistics - Simulation and Computation. 37: 521-545. DOI: 10.1080/03610910701812352 |
0.429 |
|
| 2008 |
Pandey S, Billor N, Turkmen A. The Effect of Outliers in Independent Component Analysis American Journal of Mathematical and Management Sciences. 28: 399-418. DOI: 10.1080/01966324.2008.10737735 |
0.702 |
|
| 2008 |
Billor N, Abebe A, Turkmen A, Nudurupati SV. Classification based on depth transvariations Journal of Classification. 25: 249-260. DOI: 10.1007/S00357-008-9015-7 |
0.678 |
|
| 2007 |
Caroni C, Billor N. Robust Detection of Multiple Outliers in Grouped Multivariate Data Journal of Applied Statistics. 34: 1241-1250. DOI: 10.1080/02664760701592877 |
0.397 |
|
| 2006 |
Billor N, Chatterjee S, Hadi AS. A Re-Weighted Least Squares Method for Robust Regression Estimation American Journal of Mathematical and Management Sciences. 26: 229-252. DOI: 10.1080/01966324.2006.10737673 |
0.349 |
|
| 2000 |
Billor N, Hadi AS, Velleman PF. BACON: Blocked adaptive computationally efficient outlier nominators Computational Statistics and Data Analysis. 34: 279-298. DOI: 10.1016/S0167-9473(99)00101-2 |
0.453 |
|
| 1999 |
Billor N. An application of the local influence approach to ridge regression Journal of Applied Statistics. 26: 177-183. DOI: 10.1080/02664769922511 |
0.364 |
|
| 1993 |
Billor N, Loynes R. Local influence: a new approach Communications in Statistics - Theory and Methods. 22: 1595-1611. DOI: 10.1080/03610929308831105 |
0.32 |
|
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