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07/20/2023
Analysis of the rSVDdpd Algorithm: A Robust Singular Value Decomposition Method using Density Power Divergence
The traditional method of computing singular value decomposition (SVD) o...
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06/15/2023
Conditional variable screening for ultra-high dimensional longitudinal data with time interactions
In recent years we have been able to gather large amounts of genomic dat...
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04/15/2023
Asymptotic Breakdown Point Analysis for a General Class of Minimum Divergence Estimators
Robust inference based on the minimization of statistical divergences ha...
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09/18/2022
On the existence of Scaling laws across Indian districts: A new prospect for urban scaling
Urban scaling analysis in generally performed based on cities. In this s...
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08/30/2022
Robust and Efficient Estimation in Ordinal Response Models using the Density Power Divergence
In real life, we frequently come across data sets that involve some inde...
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07/25/2022
Exponential Consistency of the M-estimators of Regression Coefficients with Multivariate Responses
In this brief note, we present the exponential consistency of the M-esti...
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05/11/2022
Existence and Consistency of the Maximum Pseudo e̱ṯa̱-Likelihood Estimators for Multivariate Normal Mixture Models
Robust estimation under multivariate normal (MVN) mixture model is alway...
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04/11/2022
Robust and Efficient Parameter Estimation for Discretely Observed Stochastic Processes
In various practical situations, we encounter data from stochastic proce...
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12/25/2021
Robust Estimation of Average Treatment Effects from Panel Data
In order to evaluate the impact of a policy intervention on a group of u...
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09/22/2021
A New Robust Scalable Singular Value Decomposition Algorithm for Video Surveillance Background Modelling
A basic algorithmic task in automated video surveillance is to separate ...
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08/20/2021
Robust adaptive Lasso in high-dimensional logistic regression with an application to genomic classification of cancer patients
Penalized logistic regression is extremely useful for binary classificat...
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02/20/2021
Strata-based Quantification of Distributional Uncertainty in Socio-Economic Indicators: A Comparative Study of Indian States
This paper reports a comprehensive study of distributional uncertainty i...
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01/22/2021
RaJIVE: Robust Angle Based JIVE for Integrating Noisy Multi-Source Data
With increasing availability of high dimensional, multi-source data, the...
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10/12/2020
Robust Estimation under Linear Mixed Models: The Minimum Density Power Divergence Approach
Many real-life data sets can be analyzed using Linear Mixed Models (LMMs...
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09/26/2020
Robust Hypothesis Testing and Model Selection for Parametric Proportional Hazard Regression Models
The semi-parametric Cox proportional hazards regression model has been w...
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09/10/2020
Robust Clustering with Normal Mixture Models: A Pseudo β-Likelihood Approach
As in other estimation scenarios, likelihood based estimation in the nor...
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07/31/2020
On regularization methods based on Rényi's pseudodistances for sparse high-dimensional linear regression models
Several regularization methods have been considered over the last decade...
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05/25/2020
Robust Sure Independence Screening for Non-polynomial dimensional Generalized Linear Models
We consider the problem of variable screening in ultra-high dimensional ...
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04/30/2020
A robust variable screening procedure for ultra-high dimensional data
Variable selection in ultra-high dimensional regression problems has bec...
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04/11/2020
Robust adaptive variable selection in ultra-high dimensional regression models based on the density power divergence loss
We consider the problem of simultaneous model selection and the estimati...
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04/11/2020
Robust Generalised Quadratic Discriminant Analysis
Quadratic discriminant analysis (QDA) is a widely used statistical tool ...
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04/02/2020
Robust Parametric Inference for Finite Markov Chains
We consider the problem of statistical inference in a parametric finite ...
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11/27/2019
On Robust Pseudo-Bayes Estimation for the Independent Non-homogeneous Set-up
The ordinary Bayes estimator based on the posterior density suffers from...
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09/23/2019
Robust Inference for Skewed data in Health Sciences
Health data are often not symmetric to be adequately modeled through the...
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09/17/2019
Robust statistical modeling of monthly rainfall: The minimum density power divergence approach
Statistical modeling of rainfall is an important challenge in meteorolog...
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08/26/2019
A Robust Generalization of the Rao Test
This paper presents new families of Rao-type test statistics based on th...
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05/19/2019
Optimal Guessing under Nonextensive Framework and associated Moment Bounds
We consider the problem of guessing the realization of a random variable...
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05/08/2019
Consistent Fixed-Effects Selection in Ultra-high dimensional Linear Mixed Models with Error-Covariate Endogeneity
Recently, applied sciences, including longitudinal and clustered studies...
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04/03/2019
Robust semiparametric inference for polytomous logistic regression with complex survey design
Analyzing polytomous response from a complex survey scheme, like stratif...
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01/05/2019
A Scale-invariant Generalization of Renyi Entropy and Related Optimizations under Tsallis' Nonextensive Framework
Entropy and cross-entropy are two very fundamental concepts in informati...
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10/06/2018
Robust and Efficient Estimation in the Parametric Cox Regression Model under Random Censoring
Cox proportional hazard regression model is a popular tool to analyze th...
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10/01/2018
Power and Level Robustness of A Composite Hypothesis Testing under Independent Non-Homogeneous Data
Robust tests of general composite hypothesis under non-identically distr...
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03/31/2018
Robust Wald-type test in GLM with random design based on minimum density power divergence estimators
We consider the problem of robust inference under the important generali...
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02/14/2018