M. Ashok Kumar

According to our database, M. Ashok Kumar authored at least 19 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Generalized Fisher-Darmois-Koopman-Pitman Theorem and Rao-Blackwell Type Estimators for Power-Law Distributions.

Atin Gayen, M. Ashok Kumar

IEEE Trans. Inf. Theory, December, 2023

Enhancing energy utilization for high power node multicasting in wireless sensor networks.

M. Ashok Kumar, K. Saravanan

J. Intell. Fuzzy Syst., 2023

Information Geometry for the Working Information Theorist.

Kumar Vijay Mishra, M. Ashok Kumar, Ting-Kam Leonard Wong

CoRR, 2023

2022

Are Guessing, Source Coding and Tasks Partitioning Birds of A Feather?

M. Ashok Kumar, Albert Sunny, Ashish Thakre, Ashisha Kumar, G. Dinesh Manohar

Entropy, November, 2022

A Unified Framework for Problems on Guessing, Source Coding, and Tasks Partitioning.

M. Ashok Kumar, Albert Sunny, Ashish Thakre, Ashisha Kumar, G. Dinesh Manohar

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Hybrid and Generalized Bayesian Cramér-Rao Inequalities via Information Geometry.

Kumar Vijay Mishra, M. Ashok Kumar

CoRR, 2021

A Generalized notion of Sufficiency for Power-law Distributions.

Atin Gayen, M. Ashok Kumar

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Cramér-Rao Lower Bounds Arising from Generalized Csiszár Divergences.

M. Ashok Kumar, Kumar Vijay Mishra

CoRR, 2020

Erratum to "A novel mechanism for dynamic multifarious and disturbed human face recognition using Advanced Stance Coalition (ASC)" [Comput Electr Eng 84 (June 2020) 106642].

M. Ashok Kumar, Sivaram Rajeyyagari

Comput. Electr. Eng., 2020

A novel mechanism for dynamic multifarious and disturbed human face recognition using advanced stance coalition (ASC).

M. Ashok Kumar, Sivaram Rajeyyagari

Comput. Electr. Eng., 2020

Generalized Bayesian Cramér-Rao Inequality via Information Geometry of Relative α-Entropy.

Kumar Vijay Mishra, M. Ashok Kumar

Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020

2019

A Unified Framework for Problems on Guessing, Source Coding and Task Partitioning.

M. Ashok Kumar, Albert Sunny, Ashish Thakre, Ashisha Kumar

CoRR, 2019

Projection Theorems, Estimating Equations, and Power-Law Distributions.

Atin Gayen, M. Ashok Kumar

CoRR, 2019

2018

Information Geometric Approach to Bayesian Lower Error Bounds.

M. Ashok Kumar, Kumar Vijay Mishra

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Generalized Estimating Equation for the Student-t Distributions.

Atin Gayen, M. Ashok Kumar

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

Projection Theorems of Divergences and Likelihood Maximization Methods.

Atin Gayen, M. Ashok Kumar

CoRR, 2017

2016

Projection Theorems for the Rényi Divergence on α-Convex Sets.

M. Ashok Kumar, Igal Sason

IEEE Trans. Inf. Theory, 2016

On projections of the Rényi divergence on generalized convex sets.

M. Ashok Kumar, Igal Sason

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

Relative α-entropy minimizers subject to linear statistical constraints.

M. Ashok Kumar, Rajesh Sundaresan

Proceedings of the Twenty First National Conference on Communications, 2015