most citedPolyspectral Mean based Time Series Clustering of Indian Stock Market

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME2026

Derivations for the Cumulative Standardized Binomial EWMA (CSB-EWMA) Control Chart

Faruk Muritala, Austin Brown, Dhrubajyoti Ghosh +1

This paper presents the exact mathematical derivation of the mean and variance properties for the Exponentially Weighted Moving Average (EWMA) statistic applied to binomial proport…

stat.AP2025

Demographic Distribution Matching between real world and virtual phantom population

Dhrubajyoti Ghosh, Fakrul Islam Tushar, Lavsen Dahal +5

Virtual imaging trials (VITs) offer scalable and cost-effective tools for evaluating imaging systems and protocols. However, their translational impact depends on rigorous comparab…

q-fin.ST20251 cited

Polyspectral Mean based Time Series Clustering of Indian Stock Market

Dhrubajyoti Ghosh

In this study, we employ k-means clustering algorithm of polyspectral means to analyze 49 stocks in the Indian stock market. We have used spectral and bispectral information obtain…

stat.ME2025

A novel smoothing-based goodness-of-fit test of covariance for multivariate sparse functional data

Dhrubajyoti Ghosh, Zhuolin Song, Luo Xiao +1

Accurately specifying covariance structures is critical for valid inference in longitudinal and functional data analysis, particularly when data are sparsely observed. In this stud…

stat.AP2025

Ensemble Survival Analysis for Preclinical Cognitive Decline Prediction in Alzheimer's Disease Using Longitudinal Biomarkers

Dhrubajyoti Ghosh, Samhita Pal, Michael Lutz +1

Predicting the risk of clinical progression from cognitively normal (CN) status to mild cognitive impairment (MCI) or Alzheimer's disease (AD) is critical for early intervention in…

stat.ME2025

Power and sample size calculation for multivariate longitudinal trials using the longitudinal rank sum test

Dhrubajyoti Ghosh, Xiaoming Xu, Sheng Luo

Neurodegenerative diseases such as Alzheimer's and Parkinson's often exhibit complex, multivariate longitudinal outcomes that require advanced statistical methods to comprehensivel…