NONPARAMETRIC ESTIMATION OF ENTROPY VARIANTS: METHODOLOGY AND APPLICATIONS
NONPARAMETRIC ESTIMATION OF ENTROPY VARIANTS: METHODOLOGY AND APPLICATIONS
đź“Ť CDMM Seminar Hall 213, Vellore Institute of Technology, Vellore.
đź•™ 10:00 am IST
đź“… Monday, March 30, 2026; Speaker : Dr. ALEJANDRO C. FRERY, Professor in Statistics and Data Science, School of Mathematics and Statistics, Victoria University of Wellington.
The event titled “Nonparametric Estimation of Entropy Variants: Methodology and Applications” focuses on advanced statistical techniques for analyzing complex and noisy data without relying on strict model assumptions. It highlights the role of entropy-based measures in extracting meaningful information from datasets, particularly in fields like remote sensing and data science. The session will introduce key methodologies for nonparametric estimation and discuss their practical relevance in real-world applications. Participants will gain insights into how these techniques improve data interpretation in uncertain and high-variability environments. The talk also aims to bridge theoretical concepts with cutting-edge applications in environmental monitoring and computational statistics. Overall, the event offers a valuable opportunity for researchers and students to deepen their understanding of modern data analysis approaches.
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- VIT, Vellore Campus
- Tiruvalam Rd, Katpadi.
- Vellore, Tamil Nadu
- India 632014
- Building: CDMM Seminar Hall
- Room Number: 213
Speakers
Dr. ALEJANDRO C. FRERY
NONPARAMETRIC ESTIMATION OF ENTROPY VARIANTS: METHODOLOGY AND APPLICATIONS
The event titled “Nonparametric Estimation of Entropy Variants: Methodology and Applications” focuses on advanced statistical techniques for analyzing complex and noisy data without relying on strict model assumptions. It highlights the role of entropy-based measures in extracting meaningful information from datasets, particularly in fields like remote sensing and data science.
Biography:
Professor Alejandro C. Frery is a world-renowned authority in computational statistics and remote sensing. His pioneering research merges stochastic modeling with Synthetic Aperture Radar (SAR) to develop information-theoretic tools that transform complex, noisy data into precise environmental intelligence. A prominent global leader, Professor Frery serves as the Vice President of Publications for the IEEE Geoscience and Remote Sensing Society (GRSS). Throughout his distinguished career, he has held high-profile roles including Editor-in-Chief of IEEE Geoscience and Remote Sensing Letters and has been honored as a GRSS Distinguished Lecturer.
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| NONPARAMETRIC ESTIMATION OF ENTROPY VARIANTS: METHODOLOGY AND APPLICATIONS | The event titled “Nonparametric Estimation of Entropy Variants: Methodology and Applications” focuses on advanced statistical techniques for analyzing complex and noisy data without relying on strict model assumptions. | 468.20 KiB |