research
∙
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...
share
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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 ...
research
∙
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...
research
∙
05/13/2021
Characterizing the Functional Density Power Divergence Class
The density power divergence (DPD) and related measures have produced ma...
research
∙
05/12/2021
Characterizing Logarithmic Bregman Functions
Minimum divergence procedures based on the density power divergence and ...
research
∙
01/22/2021
The extended Bregman divergence and parametric estimation
Minimization of suitable statistical distances (between the data and mod...
research
∙
12/21/2020
Robust Inference Using the Exponential-Polynomial Divergence
Density-based minimum divergence procedures represent popular techniques...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
08/16/2020
On minimum Bregman divergence inference
In this paper a new family of minimum divergence estimators based on the...
research
∙
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...
research
∙
10/27/2019
Density Power Downweighting and Robust Inference: Some New Strategies
Preserving the robustness of the procedure has, at the present time, bec...
research
∙
09/23/2019
Robust Inference for Skewed data in Health Sciences
Health data are often not symmetric to be adequately modeled through the...
research
∙
08/26/2019
A Robust Generalization of the Rao Test
This paper presents new families of Rao-type test statistics based on th...
research
∙
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...
research
∙
10/27/2018
The B-Exponential Divergence and its Generalizations with Applications to Parametric Estimation
In this paper a new family of minimum divergence estimators based on the...
research
∙
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...
research
∙
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...
research
∙
04/29/2018
A Robust Wald-type Test for Testing the Equality of Two Means from Log-Normal Samples
The log-normal distribution is one of the most common distributions used...
research
∙
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...
research
∙
12/16/2015
