Prithwish Ghosh

Ghosh, P., Ghosh, S., & Chatterjee, D. (2025). 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. https://doi.org/10.1088/1538-3873/adb2c1

Chatterjee, D., & Ghosh, P. (2025). Redshift‐Agnostic Machine Learning Classification: Unveiling Peak Performance in Galaxy, Star, and Quasar Classification (Using <scp>SDSS DR17</scp>). Astronomische Nachrichten, 2. https://doi.org/10.1002/asna.20240057

Ghosh, P., & Chatterjee, D. (2024, April 26). Comparative Analysis of Machine Learning Algorithms for Breast Cancer Classification: SVM Outperforms XGBoost, CNN, RNN, and Others. BioRxiv. https://doi.org/10.1101/2024.04.22.590658

Ghosh, P., Chatterjee, D., Banerjee, A., Das, S. S., & Saqr, A. M. (2024). Do Magnetic murmurs guide birds? A directional statistical investigation for influence of Earth's Magnetic field on bird navigation. PLOS ONE, 19(6). https://doi.org/10.1371/journal.pone.0304279

Chatterjee, D., & Ghosh, P. (2024). From Deep Learning Maze to Neural Network Waltz: Unveiling Peak Performance in Stellar Classification (Using SDSS DR17). Research Square. https://doi.org/10.21203/rs.3.rs-4264627/v1

Chatterjee, D., & Ghosh, P. (2024). 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). https://doi.org/10.1088/1538-3873/ad851b

Dutta, S., Ghosh, P., & Chakraborty, A. (2024). Modeling informative dropout in longitudinal data: A joint model approach. Journal of Statistical Research, 58(1), 97–110. https://doi.org/10.3329/jsr.v58i1.75415

Chatterjee, D., & Ghosh, P. (2024). Navigating Martian Terrain: A Directional Probabilistic Model for Crater Formation and Landing Site Detection. SSRN. https://doi.org/10.2139/ssrn.4826419

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. https://doi.org/10.22541/au.172139840.08896939/v1

Ghosh, P., Chatterjee, D., & Banerjee, A. (2024). 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. https://doi.org/10.1093/mnras/stae1066

Ghosh, P., & Banerjee, D. (2024, April 12). Optimizing Breast Cancer Classification: A Comparative Analysis of Supervised and Unsupervised Machine Learning Techniques. https://doi.org/10.3390/proceedings2024103040

Chatterjee, D., Ghosh, P., Banerjee, A., & Das, S. S. (2024). Optimizing machine learning for water safety: A comparative analysis with dimensionality reduction and classifier performance in potability prediction. PLOS WATER, 3(8). https://doi.org/10.1371/journal.pwat.0000259

Chatterjee, D., & Ghosh, P. (2024). Statistical Machine Learning Evidence Supports Five as the Optimal Number of Clusters for Gamma-Ray Burst Classification Over Three. SSRN. https://doi.org/10.2139/ssrn.4822664

Ghosh, P., & Chakraborty, S. (2023). A Heuristic Evaluation of Partitioning Techniques Considering Early-Type Galaxy Databases. Engineering Proceedings, 56(1). https://doi.org/10.3390/ASEC2023-15287

Ghosh, P. (2023). A Novel Spherical Statistics-based Spatio-Temporal Analysis to Unveil Distributional Properties of Meteor Strike on Earth (P. Ghosh, Ed.). https://doi.org/10.13140/RG.2.2.20434.32963

Ghosh, P. (2023). 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.

Ghosh, P., & Dey, S. (2023). 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. (2023). Conference: 16th International Conference MSAST 2022. Retrieved from https://drive.google.com/file/d/1cBTBhRYi4TeRCMImsisZA499-7FD6Xpq/view

Ghosh, P., Chakraborty, S., & Chatterjee, D. (2023). Revisit to a Prominent Example Of The Curse of Dimensionality: Re-Investigating Anomaly Behaviour of Monte Carlo Estimate of Π In Higher Dimension. SSRN. https://doi.org/10.2139/ssrn.4496375

Ghosh, P., & Chakraborty, S. (2023, April 28). Spectral Classification of Quasar Subject to Redshift: A Statistical Study. https://doi.org/10.3390/IOCMA2023-14418

Ghosh, P. (2023). ”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.

Ghosh, P. (2022). Breast Cancer Wisconsin (Diagnostic) Prediction. International Journal of Science and Research (IJSR), 11(5), 178–185. https://doi.org/10.21275/sr22501213650

Ghosh, P., & Chakraboty, S. (2022). Classification and Distributional properties of Gamma Ray Bursts. 16th International Conference MSAST, 11, 148–156.

Ghosh, P., & Chakraborty, S. (2022). Classification and Distributional properties of Gamma Ray Bursts. In P. Ghosh & S. Chakraborty (Eds.), Conference: 16th International Conference MSAST 2022. Retrieved from https://drive.google.com/file/d/1xSQR00CTKG5hfPMDaTbNEwjtpH62r2h4/view?usp=sharing

Ghosh, P. (2021). A detailed Production scenario on Rice and Wheat in major Crop Production Districts of West Bengal (Undergraduate Project). Indian Statistical Institute, & Sister Nivedita University.