Prithwish Ghosh

A Flexible Spherical Mixture Model for Gamma-Ray Burst Patterns Obtained from BATSE and FERMI Mission

Publications of the Astronomical Society of the Pacific, 137(2), 024503.

Redshift‐Agnostic Machine Learning Classification: Unveiling Peak Performance in Galaxy, Star, and Quasar Classification (Using <scp>SDSS DR17</scp>)

Astronomische Nachrichten.

Comparative Analysis of Machine Learning Algorithms for Breast Cancer Classification: SVM Outperforms XGBoost, CNN, RNN, and Others

Ghosh, P., & Chatterjee, D. (2024, April 26). BioRxiv.

Do Magnetic murmurs guide birds? A directional statistical investigation for influence of Earth's Magnetic field on bird navigation

PLOS ONE, 19(6).

From Deep Learning Maze to Neural Network Waltz: Unveiling Peak Performance in Stellar Classification (Using SDSS DR17)

Research Square.

Mercury's Meteorite Mysteries: A Directional Statistical Guide to Mercury's North Pole, Hidden Hazards and Roadmap to Safe Landing Havens Based on Solar Elevation, Ice Stability, Temperature

PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC, 136(11).

Modeling informative dropout in longitudinal data: A joint model approach

Journal of Statistical Research, 58(1), 97–110.

Navigating Martian Terrain: A Directional Probabilistic Model for Crater Formation and Landing Site Detection

SSRN.

On Spatio-temporal Directional Association of Blue and Humpback Whale’s Migratory Path Navigation with Sun, Moon, Ocean Current & Earth’s Magnetic Field

Chatterjee, D., & Ghosh, P. (2024, July 19). On Spatio-temporal Directional Association of Blue and Humpback Whale’s Migratory Path Navigation with Sun, Moon, Ocean Current & Earth’s Magnetic Field.

On the directional nature of celestial object's fall on the earth (Part 1: distribution of fireball shower, meteor fall, and crater on earth's surface)

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 531(1), 1294–1307.

Optimizing Breast Cancer Classification: A Comparative Analysis of Supervised and Unsupervised Machine Learning Techniques

Ghosh, P., & Banerjee, D. (2024, April 12).

Optimizing machine learning for water safety: A comparative analysis with dimensionality reduction and classifier performance in potability prediction

PLOS WATER, 3(8).

Statistical Machine Learning Evidence Supports Five as the Optimal Number of Clusters for Gamma-Ray Burst Classification Over Three

SSRN.

A Heuristic Evaluation of Partitioning Techniques Considering Early-Type Galaxy Databases

Engineering Proceedings, 56(1).

A Novel Spherical Statistics-based Spatio-Temporal Analysis to Unveil Distributional Properties of Meteor Strike on Earth

(P. Ghosh, Ed.).

A Novel Spherical Statistics-based Spatio-Temporal Analysis to Unveil Distributional Properties of Meteor Strike on Earth

(Master's Dissertation). Department of Statistics Visva Bharati.

Classification of Households by Non-Expenditure Approach: A Soft Check and Study Based of Household Data of 78th Round Report dataset July 2023

Kolkata: Ministry of Statistics and Programme Implementation, Government of India.

Revisit to A Prominent Example of The Curse of Dimensionality: Re-investigating Anomaly Behaviour of Monte Carlo Estimate of π in Higher Dimension

Conference: 16th International Conference MSAST 2022. https://drive.google.com/file/d/1cBTBhRYi4TeRCMImsisZA499-7FD6Xpq/view

Revisit to a Prominent Example Of The Curse of Dimensionality: Re-Investigating Anomaly Behaviour of Monte Carlo Estimate of Π In Higher Dimension

SSRN.

Spectral Classification of Quasar Subject to Redshift: A Statistical Study

Ghosh, P., & Chakraborty, S. (2023, April 28).

”Revisit to A Prominent Example of The Curse of Dimensionality: Re-investigating Anomaly Behaviour of Monte Carlo Estimate of π in Higher Dimension

17th International Conference MSTAST. Presented at the 17th International Conference MSTAST.

Breast Cancer Wisconsin (Diagnostic) Prediction

International Journal of Science and Research (IJSR), 11(5), 178–185.

Classification and Distributional properties of Gamma Ray Bursts

16th International Conference MSAST, 11, 148–156.

Classification and Distributional properties of Gamma Ray Bursts

In P. Ghosh & S. Chakraborty (Eds.), Conference: 16th International Conference MSAST 2022. https://drive.google.com/file/d/1xSQR00CTKG5hfPMDaTbNEwjtpH62r2h4/view?usp=sharing

A detailed Production scenario on Rice and Wheat in major Crop Production Districts of West Bengal

(Undergraduate Project). Indian Statistical Institute, & Sister Nivedita University.