DST-Centre For Interdisciplinary Mathematical Science(CIMS)Faculty ID 21189

Faculty Profileteachingpermanent

Rakesh Ranjan

Assistant Professor (Stage-I)

DST-Centre For Interdisciplinary Mathematical Science(CIMS)

DST-CIMS, BHU, Varanasi-2210059453222776 rakesh.ranjan@bhu.ac.in

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Publications

Research Projects

Ph.D. Scholars

Honours & Awards

Academic Profile

About the Faculty

A concise academic overview, expertise and current areas of scholarly interest.

Rakesh Ranjan serves as Assistant Professor (Stage-I) in the DST-Centre For Interdisciplinary Mathematical Science(CIMS), contributing to teaching, research, student mentorship and academic initiatives.

Career Timeline

Work Experience

Academic appointments, research roles, and administrative responsibilities.

Administrative2019 - 2022

Course Coordinator

Statistics and Computing, DST CIMS

Administrative

Administrative2022 - -

Course Coordinator

Statistics and Computing, DST CIMS

Administrative

Research & Innovation

Research Articles & Publications

Journal articles and papers linked to this profile's research record.

2023Research Papers in Web of Science Listed Journals

Bayes analysis of the generalized gamma AFT models for left truncated and right censored data

DOI: https://doi.org/10.1080/00949655.2023.2172169

2021Research Papers in Web of Science Listed Journals

Bayes analysis of some important lifetime models using MCMC based approaches when the observations are left truncated and right censored

DOI: https://doi.org/10.1016/j.ress.2021.107747

Scholarly Output

Selected Publications

Journal articles, conference papers, book chapters and other scholarly work.

2025

Bayes Analysis of Weibull Regression Model with Variable Selection: A Study Using Shrinkage Prior

Asmita Shukla, Rakesh Ranjan and Satyanshu K. Upadhyay

American Journal of Mathematical and Management Sciences44(1), 23-48DOI

2025

Bayesian analysis of competing risk models with high dimensional covariates with an application to adenocarcinoma survival data

R Ranjan, A Bhattacharjee, R Sen, SK Upadhyay

Communications in Statistics: Case Studies, Data Analysis and Applications11(1), 31-55DOI

2023

Bayes analysis of the generalized gamma AFT models for left truncated and right censored data

Asmita Shukla, Rakesh Ranjan & Satyanshu K. Upadhyay

Journal of Statistical Computation and SimulationDOI

2023

Parameter Estimation of Scale Muth Distribution (SMD) under Type-1 Censoring using Classical and Bayesian Approaches

Agni Saroj, Prashant Kumar, Sonker Shalini Kumari, Rakesh Ranjan and Mukesh Kumar

Reliability: Theory & Applications

2023

Role of PARP inhibitors beyond BRCA mutation and platinum sensitivity in epithelial ovarian cancer: a meta-analysis of hazard ratios from randomized clinical trials

Roli Purwar, Rakesh Ranjan, Manjusha Pal, Satyanshu K. Upadhyay, Tarun Kumar & Manoj Pandey

World Journal of Surgical OncologyDOI

2022

Bayesian Parameter Estimation and Model Selection for Gallbladder Cancer Data of two Countries

Richa Srivastava, Rakesh Ranjan, Himanshu Misra

Journal of Statistics Applications & Probability11(1), 251-263DOI

2022

Lymphadenectomy in ovarian cancers: a meta-analysis of hazard ratios from randomized clinical trials

Roli Purwar, Rakesh Ranjan, Kishan Soni, Manoj Pandey, Satyanshu K. Upadhyay, Esha Pai & Tarun Kumar

World Journal of Surgical OncologyDOI

2022

A Bayes Analysis of A Dependent Competing Risk Model Based on Marshall-Olkin Bivariate Weibull Distribution

Ankita Gupta, Rakesh Ranjan, Akanksha Gupta and Satyanshu K Upadhyay

International Journal of Reliability, Quality and Safety EngineeringvDOI

2022

Prognostic Role of Procalcitonin and C-reactive Protein in Surgical Neonates: A Single-Institution Experience

Sarita Chawdhary, Pranaya K Panigrahi, Kanika Sharma, Manoj Yadav, Rakesh Ranjan, Akash Mishra, Deepak Kumar, Sunil K Gaur, Ashish Ashish, Shiv P Sharma

CureusDOI

2022

A Bayes Analysis and Comparison of Arrhenius Weibull and Arrhenius Lognormal Models under Competing Risk

Ankita Gupta, Rakesh Ranjan & Satyanshu K. Upadhyay

American Journal of Mathematical and Management SciencesDOI

2021

Bayesian Prediction Limits for Inverse Weibull Distribution when Observations are Mid Type II Censored

Vastoshpati Shastri, Rakesh Ranjan, Deependra Singh Pal,

Journal of Statistics Applications & Probability10(1), 147-158DOI

2021

Bayes analysis of some important lifetime models using MCMC based approaches when the observations are left truncated and right censored

Rakesh Ranjan, Rijji Sen , Satyanshu K. Upadhyay

Reliability Engineering and System Safety214, 1-13DOI

2019

Posterior and predictive inferences for Marshall Olkin bivariate Weibull distribution via Markov chain Monte Carlo methods

Rakesh Ranjan & Vastoshpati Shastri

International Journal of System Assurance Engineering and Management10(6), 1535–1543DOI

2019

Bayes Prediction Limits of Pareto Distribution when Observations are Mid Type II Censored

Vastoshpati Shastri, Rakesh Ranjan and Deependra S. Pal

Aligarh Journal of Statistics39, 75-94DOI

2018

Bayes Point Predictors of Exponential Distribution under Asymmetric Loss When Observations are Multiply Type II Censored

Vastoshpati Shastri, Rakesh Ranjan and Deependra S. Pal

Journal of Statistics Applications & Probability7(2), 389-399DOI

2018

Bayesian analysis of Word frequency distribution in context of Indian literature

Vastoshpati Shastri, Rakesh Ranjan P. K. Tripathi and S. K. Upadhyay

JOURNAL OF ULTRA SCIENTIST OF PHYSICAL SCIENCES30(5), 283-290DOI

2018

Classical and Bayes Analysis of A Competing Risk Model Based on Two Weibull Distributions with Increasing and Decreasing Hazards

Ankita Gupta, Rakesh Ranjan and Satyanshu K. Upadhyay

RELIABILITY: THEORY&APPLICATIONS13(3), 9-27DOI

2017

An approximate Bayes analysis of ARMA model for Indian GDP growth rate data

Praveen Kumar Tripathi, Rakesh Ranjan, Raman Pant & S. K. Upadhyay

Journal of Statistics and Management Systems20:3,, 399-419DOI

2017

A simple Bayes analysis of Weibull Based Accelerated Test model

Rijji Sen, Rakesh Ranjan and S. K. Upadhyay

International Journal of System Assurance Engineering and Management8, 505-511DOI

2016

Classical and Bayesian Estimation for theParameters of a Competing Risk Model Based on Minimum of Exponential andGamma Failures

Rakesh Ranjan and S.K. Upadhyay

IEEE Transactions Reliability65(3), 1522-1535DOI

2015

A Bayes analysis of acompeting risk model based on gamma and exponential failures

Rakesh Ranjan, Sonam Singh and Satyanshu K. Upadhyay

Reliability Engineering System Safety144, 35-44DOI

2015

Posterior analysis of a competing risk modelbased on decreasing failure rate Weibull and exponential failures

Rakesh Ranjan and S.K. Upadhyay

Journal of Reliability and Statistical Studies8(1), 51-62DOI

Mentorship

Research Supervision

Scholars and research students guided by the faculty member.

Ph.D.2024

Study of Child Nutrition and Mortality through Statistical Methods

Scholar: Anuj Singh · BHU

Ph.D.2025

Bayesian Analysis of Some Important Survival Regression Models

Scholar: Asmita Shukla · BHU

Teaching & Learning

Courses Taught

Courses and academic offerings associated with this faculty profile.

No courses are currently listed.

Affiliations

Professional Memberships

Memberships in academic associations, professional societies and advisory councils.

Life Member

Indian Bayesian Society

Since 2016

Life Member

Indian Statistical Institute

Since 2022

Life Member

Indian Society for Probability and Statistics

Since 2018

Member

International Society for Bayesian Analysis (ISBA)

Since 2022

Life Member

International Indian Statistical Association (IISA)

Since 2024

Recognition

Honours & Awards

Academic honours, distinctions, prizes and recognitions received by the faculty member.

No honours or awards are currently listed.

Milestones

Achievements

Notable academic, professional, research and institutional achievements.

No achievements are currently listed.

Banaras Hindu University

Connect with Rakesh Ranjan

For academic collaboration, teaching enquiries, research discussions or professional communication.

Email Faculty

Rakesh Ranjan

About the Faculty

Work Experience

Course Coordinator

Course Coordinator

Sponsored Projects & Grants

Research Articles & Publications

Bayes analysis of the generalized gamma AFT models for left truncated and right censored data

Bayes analysis of some important lifetime models using MCMC based approaches when the observations are left truncated and right censored

Selected Publications

Bayes Analysis of Weibull Regression Model with Variable Selection: A Study Using Shrinkage Prior

Bayesian analysis of competing risk models with high dimensional covariates with an application to adenocarcinoma survival data

Bayes analysis of the generalized gamma AFT models for left truncated and right censored data

Parameter Estimation of Scale Muth Distribution (SMD) under Type-1 Censoring using Classical and Bayesian Approaches

Role of PARP inhibitors beyond BRCA mutation and platinum sensitivity in epithelial ovarian cancer: a meta-analysis of hazard ratios from randomized clinical trials

Bayesian Parameter Estimation and Model Selection for Gallbladder Cancer Data of two Countries

Lymphadenectomy in ovarian cancers: a meta-analysis of hazard ratios from randomized clinical trials

A Bayes Analysis of A Dependent Competing Risk Model Based on Marshall-Olkin Bivariate Weibull Distribution

Prognostic Role of Procalcitonin and C-reactive Protein in Surgical Neonates: A Single-Institution Experience

A Bayes Analysis and Comparison of Arrhenius Weibull and Arrhenius Lognormal Models under Competing Risk

Bayesian Prediction Limits for Inverse Weibull Distribution when Observations are Mid Type II Censored

Bayes analysis of some important lifetime models using MCMC based approaches when the observations are left truncated and right censored

Posterior and predictive inferences for Marshall Olkin bivariate Weibull distribution via Markov chain Monte Carlo methods

Bayes Prediction Limits of Pareto Distribution when Observations are Mid Type II Censored

Bayes Point Predictors of Exponential Distribution under Asymmetric Loss When Observations are Multiply Type II Censored

Bayesian analysis of Word frequency distribution in context of Indian literature

Classical and Bayes Analysis of A Competing Risk Model Based on Two Weibull Distributions with Increasing and Decreasing Hazards

An approximate Bayes analysis of ARMA model for Indian GDP growth rate data

A simple Bayes analysis of Weibull Based Accelerated Test model

Classical and Bayesian Estimation for theParameters of a Competing Risk Model Based on Minimum of Exponential andGamma Failures

A Bayes analysis of acompeting risk model based on gamma and exponential failures

Posterior analysis of a competing risk modelbased on decreasing failure rate Weibull and exponential failures

Research Supervision

Study of Child Nutrition and Mortality through Statistical Methods

Bayesian Analysis of Some Important Survival Regression Models

Courses Taught

Professional Memberships

Life Member

Life Member

Life Member

Member

Life Member

Honours & Awards

Achievements

Connect with Rakesh Ranjan