Search Results - "Chakraborty, Anirvan"

Correction: Universal penalized regression (Elastic-net) model with differentially methylated promoters for oral cancer prediction by Das, Shantanab, Karuri, Saikat, Chakraborty, Joyeeta, Basu, Baidehi, Chandra, Aditi, Aravindan, S., Chakraborty, Anirvan, Paul, Debashis, Ray, Jay Gopal, Lechner, Matt, Beck, Stephan, Teschendorff, Andrew E., Chatterjee, Raghunath

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Universal penalized regression (Elastic-net) model with differentially methylated promoters for oral cancer prediction by Das, Shantanab, Karuri, Saikat, Chakraborty, Joyeeta, Basu, Baidehi, Chandra, Aditi, Aravindan, S, Chakraborty, Anirvan, Paul, Debashis, Ray, Jay Gopal, Lechner, Matt, Beck, Stephan, Teschendorff, E Andrew, Chatterjee, Raghunath

“…DNA methylation showed notable potential to act as a diagnostic marker in many cancers. Many studies proposed DNA methylation biomarker in OSCC detection,…”
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On data depth in infinite dimensional spaces by Chakraborty, Anirvan, Chaudhuri, Probal

“…The concept of data depth leads to a center-outward ordering of multivariate data, and it has been effectively used for developing various data analytic tools…”
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THE SPATIAL DISTRIBUTION IN INFINITE DIMENSIONAL SPACES AND RELATED QUANTILES AND DEPTHS by Chakraborty, Anirvan, Chaudhuri, Probal

“…The spatial distribution has been widely used to develop various nonparametric procedures for finite dimensional multivariate data. In this paper, we…”
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TESTS FOR HIGH-DIMENSIONAL DATA BASED ON MEANS, SPATIAL SIGNS AND SPATIAL RANKS by Chakraborty, Anirvan, Chaudhuri, Probal

“…Tests based on mean vectors and spatial signs and ranks for a zero mean in one-sample problems and for the equality of means in two-sample problems have been…”
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The deepest point for distributions in infinite dimensional spaces by Chakraborty, Anirvan, Chaudhuri, Probal

“…Identification of the center of a data cloud is one of the basic problems in statistics. One popular choice for such a center is the median, and several…”
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A Wilcoxon-Mann-Whitney-type test for infinite-dimensional data by CHAKRABORTY, ANIRVAN, CHAUDHURI, PROBAL

“…The Wilcoxon-Mann-Whitney test is a robust competitor of the t test in the univariate setting. For finitedimensional multivariate non-Gaussian data, several…”
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Nonparametric Methods for Data in Infinite Dimensional Space by Chakraborty, Anirvan

“…For univariate as well as finite dimensional multivariate data, there is an extensive literature on nonparametric statistical methods. One of the reasons for…”
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Testing for the Rank of a Covariance Operator by Chakraborty, Anirvan, Panaretos, Victor M

“…How can we discern whether the covariance operator of a stochastic process is of reduced rank, and if so, what its precise rank is? And how can we do so at a…”
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Regression with genuinely functional errors-in-covariates by Chakraborty, Anirvan, Panaretos, Victor M

“…Contamination of covariates by measurement error is a classical problem in multivariate regression, where it is well known that failing to account for this…”
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Functional Registration and Local Variations: Identifiability, Rank, and Tuning by Chakraborty, Anirvan, Panaretos, Victor M

“…We develop theory and methodology for the problem of nonparametric registration of functional data that have been subjected to random deformation (warping) of…”
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Tests for high dimensional data based on means, spatial signs and spatial ranks by Chakraborty, Anirvan, Chaudhuri, Probal

“…Tests based on sample mean vectors and sample spatial signs have been studied in the recent literature for high dimensional data with the dimension larger than…”
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Hybrid Regularisation of Functional Linear Models by Chakraborty, Anirvan, Panaretos, Victor M

“…We consider the problem of estimating the slope function in a functional regression with a scalar response and a functional covariate. This central problem of…”
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Paired sample tests in infinite dimensional spaces by Chakraborty, Anirvan, Chaudhuri, Probal

“…The sign and the signed-rank tests for univariate data are perhaps the most popular nonparametric competitors of the t test for paired sample problems. These…”
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The spatial distribution in infinite dimensional spaces and related quantiles and depths by Chakraborty, Anirvan, Chaudhuri, Probal

“…Annals of Statistics 2014, Vol. 42, No. 3, 1203-1231 The spatial distribution has been widely used to develop various nonparametric procedures for finite…”
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A Wilcoxon-Mann-Whitney type test for infinite dimensional data by Chakraborty, Anirvan, Chaudhuri, Probal

“…The Wilcoxon-Mann-Whitney test is a robust competitor of the t-test in the univariate setting. For finite dimensional multivariate data, several extensions of…”
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The deepest point for distributions in infinite dimensional spaces by Chakraborty, Anirvan, Chaudhuri, Probal

“…Identification of the center of a data cloud is one of the basic problems in statistics. One popular choice for such a center is the median, and several…”
Get full text

On data depth in infinite dimensional spaces by Chakraborty, Anirvan, Chaudhuri, Probal

“…The concept of data depth leads to a center-outward ordering of multivariate data, and it has been effectively used for developing various data analytic tools…”
Get full text