Surajit Ray
Surajit Ray
University of Glasgow
Email verificata su math.bu.edu
Titolo
Citata da
Citata da
Anno
Evaluation of MHC class I peptide binding prediction servers: applications for vaccine research
HH Lin, S Ray, S Tongchusak, EL Reinherz, V Brusic
BMC immunology 9 (1), 1-13, 2008
2522008
A Nonparametric Statistical Approach to Clustering via Mode Identification.
J Li, S Ray, BG Lindsay
Journal of Machine Learning Research 8 (8), 2007
2292007
The topography of multivariate normal mixtures
S Ray, BG Lindsay
The Annals of Statistics 33 (5), 2042-2065, 2005
1722005
BIC and alternative Bayesian information criteria in the selection of structural equation models
KA Bollen, JJ Harden, S Ray, J Zavisca
Structural equation modeling: a multidisciplinary journal 21 (1), 1-19, 2014
742014
Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction
P Shi, S Ray, Q Zhu, MA Kon
BMC bioinformatics 12 (1), 1-15, 2011
542011
Model selection in high dimensions: a quadratic‐risk‐based approach
S Ray, BG Lindsay
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2008
482008
Quadratic distances on probabilities: A unified foundation
BG Lindsay, M Markatou, S Ray, K Yang, SC Chen
The Annals of Statistics 36 (2), 983-1006, 2008
462008
Functional principal component analysis of spatially correlated data
C Liu, S Ray, G Hooker
Statistics and Computing 27 (6), 1639-1654, 2017
412017
A comparison of Bayes factor approximation methods including two new methods
KA Bollen, S Ray, J Zavisca, JJ Harden
Sociological Methods & Research 41 (2), 294-324, 2012
272012
On the upper bound of the number of modes of a multivariate normal mixture
S Ray, D Ren
Journal of Multivariate Analysis 108, 41-52, 2012
192012
Distance-based model-selection with application to the analysis of gene expression data
S Ray
192003
A computational framework to emulate the human perspective in flow cytometric data analysis
S Ray, S Pyne
PloS one 7 (5), e35693, 2012
182012
Improved power in multinomial goodness‐of‐fit tests
A Basu, S Ray, C Park, S Basu
Journal of the Royal Statistical Society: Series D (The Statistician) 51 (3 …, 2002
182002
Use of machine learning and artificial intelligence to predict SARS-CoV-2 infection from full blood counts in a population
A Banerjee, S Ray, B Vorselaars, J Kitson, M Mamalakis, S Weeks, ...
International immunopharmacology 86, 106705, 2020
152020
Functional factor analysis for periodic remote sensing data
C Liu, S Ray, G Hooker, M Friedl
The Annals of Applied Statistics, 601-624, 2012
152012
The performance of heteroskedasticity and autocorrelation robust tests: a Monte Carlo study with an application to the three‐factor Fama–French asset‐pricing model
S Ray, NE Savin
Journal of Applied Econometrics 23 (1), 91-109, 2008
142008
Statistics on anatomic objects reflecting inter-object relations
JY Jeong, SM Pizer, S Ray
1st MICCAI Workshop on Mathematical Foundations of Computational Anatomy …, 2006
142006
Kernels, degrees of freedom, and power properties of quadratic distance goodness-of-fit tests
BG Lindsay, M Markatou, S Ray
Journal of the American Statistical Association 109 (505), 395-410, 2014
132014
Data processing and analysis for protein microarrays
DS DeLuca, O Marina, S Ray, GL Zhang, CJ Wu, V Brusic
Protein microarray for disease analysis, 337-347, 2011
122011
Amino acid biophysical properties in the statistical prediction of peptide-MHC class I binding
S Ray, TB Kepler
Immunome Research 3 (1), 1-10, 2007
102007
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20