A. Basu

发表

Minimum disparity estimation for continuous models: Efficiency, distributions and robustness

B. Lindsay, A. Basu, 1994 .

A Comparison of related density-based minimum divergence estimators

M. C. Jones, N. Hjort, A. Basu, 2001 .

Robust and efficient estimation by minimising a density power divergence

M. C. Jones, N. Hjort, A. Basu, 1998 .

2 Minimum distance estimation: The approach using density-based distances

A. Basu, Ian R. Harris, S. Basu, 1997 .

Robust Bayes estimation using the density power divergence

A. Basu, A. Ghosh, 2016 .

Improvements in the small sample efficiency of the minimum S-divergence estimators under discrete models

A. Basu, A. Ghosh, 2017, 1702.03557.

A general set up for minimum disparity estimation

A. Basu, A. Kuchibhotla, 2015 .

Statistical Inference: The Minimum Distance Approach

A. Basu, Hiroyuki Shioya, Chanseok Park, 2011 .

Robust estimation in generalized linear models: the density power divergence approach

A. Basu, A. Ghosh, 2014, TEST.

The minimum S-divergence estimator under continuous models: the Basu–Lindsay approach

A. Basu, A. Ghosh, 2014, Statistical Papers.

A Robust Wald-Type Test for Testing the Equality of Two Means from Log-Normal Samples

L. Pardo, A. Basu, A. Mandal, 2018, 1804.10950.

General Robust Bayes Pseudo-Posterior: Exponential Convergence results with Applications

A. Basu, A. Ghosh, 2017, 1708.09692.

Robust Wald-type tests for non-homogeneous observations based on the minimum density power divergence estimator

L. Pardo, A. Basu, A. Ghosh, 2017, 1707.02333.

Robust estimation for independent non-homogeneous observations using density power divergence with applications to linear regression

A. Basu, A. Ghosh, 2013 .

Minimum negative exponential disparity estimation in parametric models

A. Basu, A. Vidyashankar, Sahadeb Sarkar, 1997 .

A Minimum Distance Weighted Likelihood Method of Estimation

Arun K. Kuchibhotla, A. Basu, A. Kuchibhotla, 2016 .

Does the generalized mean have the potential to control outliers?

Amlan Jyoti Das, A. Basu, A. Chatterjee, 2019, Communications in Statistics - Theory and Methods.

Robust estimation for non-homogeneous data and the selection of the optimal tuning parameter: the density power divergence approach

Abhik Ghosh, Ayanendranath Basu, A. Basu, 2015 .

Minimum disparity estimation in the errors-in-variables model

Ayanendranath Basu, Sahadeb Sarkar, A. Basu, 1994 .

Robust Clustering with Normal Mixture Models: A Pseudo β-Likelihood Approach

A. Basu, A. Ghosh, S. Chakraborty, 2020 .

Density Power Downweighting and Robust Inference: Some New Strategies

A. Basu, Saptarshi Roy, K. Chakraborty, 2019, Journal of Mathematics and Statistics.

A generalized divergence for statistical inference

Leandro Pardo, Avijit Maji, Abhik Ghosh, 2017 .

The Logarithmic Super Divergence and its use in Statistical Inference

A. Basu, A. Ghosh, A. Maji, 2014, 1407.3961.

Robust Bounded Influence Tests for Independent Non-Homogeneous Observations

A. Basu, A. Ghosh, 2015, 1502.01106.

On the Robustness of a Divergence based Test of Simple Statistical Hypotheses

L. Pardo, A. Basu, A. Ghosh, 2014, 1404.5126.

Robust and efficient estimation in the parametric proportional hazards model under random censoring

A. Basu, A. Ghosh, 2019, Statistics in medicine.

Measuring Agreement Between Two Raters for Ordinal Response: a Model‐based Approach

A. Basu, S. Basu, A. Raychaudhuri, 1999 .

Statistical inference based on a new weighted likelihood approach

A. Basu, S. Bhandari, Suman Majumder, 2016, Metrika.

Testing Composite Hypothesis Based on the Density Power Divergence

L. Pardo, A. Basu, A. Mandal, 2014, Sankhya B.

Robust confidence regions for multinomial probabilities

A. Basu, A. Alin, 2015 .

Robust and Efficient Estimation in the Parametric Cox Regression Model under Random Censoring

A. Basu, A. Ghosh, 2018, 1810.02991.

Robust statistical inference based on the C-divergence family

L. Pardo, A. Basu, A. Ghosh, 2018, Annals of the Institute of Statistical Mathematics.

Robust discriminant analysis using weighted likelihood estimators

A. Basu, S. Bose, S. Purkayastha, 2004 .

Robust Estimation under Linear Mixed Models: The Minimum Density Power Divergence Approach

A. Basu, A. Ghosh, C. Agostinelli, 2020, 2010.05593.

Goodness-of-fit Tests for the Kappa Statistic

A. Basu, Sumit Gupta, 2022 .

On Robust Pseudo-Bayes Estimation for the Independent Non-homogeneous Set-up

A. Basu, A. Ghosh, Tuhin Majumder, 2019, 1911.12160.

Robust Clustering with Normal Mixture Models: A Pseudo β-Likelihood Approach

A. Basu, A. Ghosh, S. Chakraborty, 2020, Econometrics and Statistics.

Robust and Efficient Estimation in Ordinal Response Models using the Density Power Divergence

A. Basu, A. Ghosh, Arijit Pyne, 2022, 2208.14011.

A New Class of Robust Two-Sample Wald-Type Tests

L. Pardo, A. Basu, A. Ghosh, 2017, The international journal of biostatistics.

Statistical inference based on bridge divergences

Arun K. Kuchibhotla, A. Basu, A. Kuchibhotla, 2017, 1706.05745.

Power and level robustness of a test for composite hypotheses under independent non-homogeneous data

A. Basu, A. Ghosh, 2018, Statistics & Probability Letters.

Statistical inference based on a new weighted likelihood approach

A. Basu, S. Bhandari, Suman Majumder, 2020, Metrika.

The B-exponential divergence and its generalizations with applications to parametric estimation

A. Basu, A. Mandal, Taranga Mukherjee, 2018, Statistical Methods & Applications.

The minimum S-divergence estimator under continuous models: the Basu–Lindsay approach

A. Basu, A. Ghosh, 2015, Statistical Papers.

The logarithmic super divergence and asymptotic inference properties

A. Basu, A. Ghosh, A. Maji, 2015, AStA Advances in Statistical Analysis.

Robust statistical inference based on the C-divergence family

L. Pardo, A. Basu, A. Ghosh, 2018, Annals of the Institute of Statistical Mathematics.

Moths exhibit strong memory among cooperative species of other taxonomic groups: An empirical study

A. Basu, S. Bhattacharya, Sourav Rana, 2023, Ecological Modelling.

Robust Wald-type tests for non-homogeneous observations based on the minimum density power divergence estimator

L. Pardo, A. Basu, A. Ghosh, 2018, Metrika.

On Gaussian correlation inequalities for ''periodic'' sets

A. Basu, S. Bhandari, 2005 .

A Robust Wald-Type Test for Testing the Equality of Two Means from Log-Normal Samples

A. Basu, A. Mandal, N. Martín, 2018, Methodology and Computing in Applied Probability.

On the asymptotics of minimum disparity estimation

Arun K. Kuchibhotla, A. Basu, A. Kuchibhotla, 2016, TEST.

Robust estimation in generalized linear models: the density power divergence approach

A. Basu, A. Ghosh, 2015, TEST.

A Scale-Invariant Generalization of the Rényi Entropy, Associated Divergences and Their Optimizations Under Tsallis’ Nonextensive Framework

A. Basu, A. Ghosh, 2019, IEEE Transactions on Information Theory.

A Scale-invariant Generalization of Renyi Entropy and Related Optimizations under Tsallis' Nonextensive Framework pdf

Ayanendranath Basu, Abhik Ghosh, A. Basu, 2019, ArXiv.

A Generalized Relative (α, β)-Entropy: Geometric Properties and Applications to Robust Statistical Inference

Ayanendranath Basu, Abhik Ghosh, A. Basu, 2018, Entropy.

Robust inference for skewed data in health sciences

Abhik Ghosh, Ayanendranath Basu, Amarnath Nandy, 2019, Journal of applied statistics.

Robust minimum distance inference based on combined distances

Chanseok Park, Ayanendranath Basu, Srabashi Basu, 1995 .

Robust Wald‐type tests under random censoring

Leandro Pardo, Abhik Ghosh, Ayanendranath Basu, 2017, Statistics in medicine.

Robust Wald‐type tests under random censoring

L. Pardo, A. Basu, A. Ghosh, 2017, Statistics in medicine.

Hypothesis testing for two discrete populations based on the Hellinger distance

Leandro Pardo, Abhijit Mandal, Ayanendranath Basu, 2010 .

Robust and Efficient Parametric Estimation for Censored Survival Data

M. C. Jones, A. Basu, S. Basu, 2006 .

On the asymptotics of minimum disparity estimation

Arun K. Kuchibhotla, A. Basu, 2017 .

Robust and efficient parameter estimation based on censored data with stochastic covariates

Abhik Ghosh, Ayanendranath Basu, A. Basu, 2014, 1410.5170.

Goodness-of-fit testing for the Gompertz growth curve model

A. Basu, S. Bhattacharya, Subhadip Bandyopadhyay, 2013, METRON.

A New Family of Bounded Divergence Measures and Application to Signal Detection

Mahesh C. Shastry, Shivakumar Jolad, Ayanendranath Basu, 2012, ICPRAM.

A Family of Bounded Divergence Measures Based on The Bhattacharyya Coefficient

Mahesh C. Shastry, Shivakumar Jolad, Ayanendranath Basu, 2012 .

Goodness-of-fit testing for the Gompertz growth curve model

A. Basu, S. Bhattacharya, Subhadip Bandyopadhyay, 2014 .

Robust density power divergence based tests in multivariate analysis: A comparative overview of different approaches

Leandro Pardo, Abhik Ghosh, Ayanendranath Basu, 2021, J. Multivar. Anal..

A Robust Generalization of the Rao Test

L. Pardo, A. Basu, A. Ghosh, 2019, Journal of Business & Economic Statistics.

Statistical Inference based on the Logarithmic power divergence 1

A. Basu, Saptarshi Chakraborty, A. Maji, 2022 .

B REAKDOWN P OINT A NALYSIS OF T HE M INIMUM S-D IVERGENCE E STIMATOR

A. Basu, A. Ghosh, A. Sarkar, 2023 .

Robust adaptive LASSO in high-dimensional logistic regression

L. Pardo, A. Basu, A. Ghosh, 2021, Statistical Methods & Applications.

Multinomial goodness-of-fit tests under inlier modification

Abhijit Mandal, Ayanendranath Basu, A. Basu, 2011 .

Change Point Inference in Growth Curve Models

A. Basu, Wen-Tao Huang, Bratati Chakraborty, 2016 .

Change Point Inference in Growth Curve Models

A. Basu, Wen-Tao Huang, Bratati Chakraborty, 2015, Proceedings of the National Academy of Sciences, India Section A: Physical Sciences.

The iteratively reweighted estimating equation in minimum distance problems

Bruce G. Lindsay, Ayanendranath Basu, B. Lindsay, 2004, Comput. Stat. Data Anal..

Minimum Disparity Inference based on Tangent Disparities

Chanseok Park, Ayanendranath Basu, A. Basu, 2011 .

The extended Bregman divergence and parametric estimation

Ayanendranath Basu, Sancharee Basak, A. Basu, 2021, Statistics.

Robust Wald-type tests in GLM with random design based on minimum density power divergence estimators

L. Pardo, A. Basu, A. Ghosh, 2018, Statistical Methods & Applications.

Robust tests for equality of two population means under the normal model

A. Basu, S. Basu, Sahadeb Sarkar, 1997 .

Improving precision through modelling: an illustration with hierarchical kappa

A. Basu, S. Basu, A. Raychaudhuri, 1995 .

Robust Hypothesis Testing and Model Selection for Parametric Proportional Hazard Regression Models

Leandro Pardo, Abhik Ghosh, Ayanendranath Basu, 2020, 2009.12686.

Minimum Distance Estimation of Milky Way Model Parameters and Related Inference

Dalia Chakrabarty, Smarajit Bose, Sourabh Bhattacharya, 2013, SIAM/ASA J. Uncertain. Quantification.

Comparison of several goodness-of-fit tests for the kappa statistic based on exact power and coverage probability.

A. Basu, S. Basu, 1995, Statistics in medicine.

Goodness-of-fit testing in growth curve models: A general approach based on finite differences

A. Basu, Abhijit Mandal, W. T. Huang, 2011, Comput. Stat. Data Anal..

Goodness-of-Fit Testing for Exponential Polynomial Growth Curves

A. Basu, S. Bhattacharya, Subhadip Bandyopadhyay, 2008 .

An efficient set estimator in high dimensions: consistency and applications to fast data visualization

Bidyut Baran Chaudhuri, Kar-Han Tan, Ayanendranath Basu, 2004, Comput. Vis. Image Underst..

The trade-off between robustness and efficiency and the effect of model smoothing in minimum disparity inference

A. Basu, Sahadeb Sarkar, 1994 .

Robust Bayes estimation using the density power divergence

A. Basu, A. Ghosh, 2016 .

Analysis of the rSVDdpd Algorithm: A Robust Singular Value Decomposition Method using Density Power Divergence

A. Basu, A. Ghosh, Subhrajyoty Roy, 2023, 2307.10591.

A NEW ROBUST SCALABLE SINGULAR VALUE DECOMPOSITION ALGORITHM FOR VIDEO SURVEILLANCE BACKGROUND MODELLING BY SUBHRAJYOTY ROY*,

Asu, Subhrajyoty Roy, Abhik Ghosh, 2021 .

The residual adjustment function and weighted likelihood: a graphical interpretation of robustness of minimum disparity estimators

Bruce G. Lindsay, Chanseok Park, Ayanendranath Basu, 2002 .

Asymptotic Breakdown Point Analysis for a General Class of Minimum Divergence Estimators

A. Basu, A. Ghosh, A. Sarkar, 2023, 2304.07466.

Robust estimation based on a novel family of arctan disparities and the limitation of the second order influence function

A. Basu, B. Dharmani, 2018 .

Improved power in multinomial goodness-of-fit tests

A. Basu, Surajit Ray, Chanseok Park, 2002 .

Weighted Likelihood Equations with Bootstrap Root Search

Marianthi Markatou, Bruce G. Lindsay, Ayanendranath Basu, 1998 .

Linking Diversity and Disparity Measures

A. Basu, Sahadeb Sarkar, 2012 .

On the ‘optimal’ density power divergence tuning parameter

M. C. Jones, A. Basu, Sancharee Basak, 2020, Journal of applied statistics.

Small sample comparisons for the blended weight chi-square goodness-of-fit test statistics

A. Basu, Sahadeb Sarkar, D. Shin, 1996 .

PENALIZED MINIMUM DISPARITY METHODS FOR MULTINOMIAL MODELS

Ayanendranath Basu, Srabashi Basu, A. Basu, 1998 .

Minimum Disparity Estimation in Linear Regression Models: Distribution and Efficiency

Ayanendranath Basu, Ro Jin Pak, A. Basu, 1998 .

Minimum disparity estimation: Improved efficiency through inlier modification

Abhijit Mandal, Ayanendranath Basu, A. Basu, 2013, Comput. Stat. Data Anal..

rSVDdpd: A Robust Scalable Video Surveillance Background Modelling Algorithm

A. Basu, A. Ghosh, Subhrajyoty Roy, 2021, 2109.10680.

Statistical inference concerning weighted Poisson rates under some natural order restrictions

A. Basu, Ian R. Harris, H. Barmi, 1996 .

A Natural Goodness-of-Fit Testing Procedure for the Logistic Growth Curve Model

A. Basu, Bratati Chakraborty, 2008 .

On stochastic differential equations and equilibrium distribution: a conditional moment approach

A. Basu, J. Chattopadhyay, S. Chatterjee, 2011, Environmental and Ecological Statistics.

On minimum Bregman divergence inference

A. Basu, S. Purkayastha, 2020, 2008.06987.

Robust Bounded Influence Tests for Independent Non-Homogeneous Observations

A. Basu, A. Ghosh, 2015, 1502.01106.

Testing composite null hypotheses based on S-divergences

A. Basu, A. Ghosh, 2015, 1504.04100.

Generalized Wald-type tests based on minimum density power divergence estimators

Leandro Pardo, Abhijit Mandal, Ayanendranath Basu, 2014, 1403.7616.

Robust tests for the equality of two normal means based on the density power divergence

L. Pardo, N. Martin, A. Basu, 2014, 1403.1395.

Testing statistical hypotheses based on the density power divergence

L. Pardo, N. Martin, A. Basu, 2012, Annals of the Institute of Statistical Mathematics.

Robust inference for linear regression models with possibly skewed error distribution

A. Basu, A. Ghosh, Amarnath Nandy, 2024, 2404.03404.

A Characterization of All Single-Integral, Non-Kernel Divergence Estimators

Ayanendranath Basu, Soham Jana, A. Basu, 2019, IEEE Transactions on Information Theory.

Characterizing the Functional Density Power Divergence Class

A. Basu, S. Pal, Souvik Ray, 2021, IEEE Transactions on Information Theory.

Characterizing Logarithmic Bregman Functions

A. Basu, S. Pal, Souvik Ray, 2021, 2105.05963.

Statistical inference based on bridge divergences

Arun K. Kuchibhotla, A. Basu, Somabha Mukherjee, 2018, Annals of the Institute of Statistical Mathematics.

A New Family of Divergences Originating From Model Adequacy Tests and Application to Robust Statistical Inference

Abhik Ghosh, Ayanendranath Basu, A. Basu, 2016, IEEE Transactions on Information Theory.

The logarithmic super divergence and asymptotic inference properties

Avijit Maji, Abhik Ghosh, Ayanendranath Basu, 2014, AStA Advances in Statistical Analysis.

Robust Principal Component Analysis using Density Power Divergence

A. Basu, A. Ghosh, Subhrajyoty Roy, 2023, 2309.13531.

Mental health problems raise the odds of cognitive impairment in COVID-19 survivors

A. Basu, Madhushree Chakrabarty, Adreesh Mukherjee, 2024, Frontiers in psychiatry.