S. Pal

发表

Parametric quantile autoregressive moving average models with exogenous terms

J. A. Fiorucci, Roberto Vila, H. Saulo, 2022, Statistical Papers.

A Projected Non-Linear Conjugate Gradient Algorithm for Destructive Negative Binomial Cure Rate Model

Souvik Roy, S. Pal, 2019, 1905.11379.

An EM algorithm for the destructive COM-Poisson regression cure rate model

N. Balakrishnan, S. Pal, Jacob Majakwara, 2018 .

Likelihood inference for COM-Poisson cure rate model with interval-censored data and Weibull lifetimes

N. Balakrishnan, Suvra Pal, S. Pal, 2017, Statistical methods in medical research.

A Support Vector Machine Based Cure Rate Model For Interval Censored Data

Yingwei Peng, Peijie Wang, S. Barui, 2021, 2109.01098.

Destructive negative binomial cure rate model and EM-based likelihood inference under Weibull lifetime

N. Balakrishnan, Suvra Pal, S. Pal, 2016 .

COM‐Poisson Cure Rate Models and Associated Likelihood‐based Inference with Exponential and Weibull Lifetimes

Narayanaswamy Balakrishnan, Suvra Pal, N. Balakrishnan, 2013 .

Bayesian Shrinkage Priors in Zero-Inflated and Negative Binomial Regression models with Real World Data Applications of COVID-19 Vaccine, and RNA-Seq

A. Bhattacharyya, S. Rai, S. Pal, 2022, medRxiv.

Likelihood inference for the destructive exponentially weighted Poisson cure rate model with Weibull lifetime and an application to melanoma data

N. Balakrishnan, S. Pal, 2016, Computational Statistics.

An EM algorithm for the estimation of parameters of a flexible cure rate model with generalized gamma lifetime and model discrimination using likelihood- and information-based methods

N. Balakrishnan, S. Pal, 2014, Computational Statistics.

Piecewise Linear Approximations for Cure Rate Models and Associated Inferential Issues

Narayanaswamy Balakrishnan, F. S. Milienos, Markos V. Koutras, 2016 .

A time‐dependent survival analysis for early prognosis of chronic wounds by monitoring wound alkalinity

Liping Tang, J. Senkowsky, Zhaoli Liu, 2022, International wound journal.

A Stochastic Version of the EM Algorithm for Mixture Cure Model with Exponentiated Weibull Family of Lifetimes

Sandip Barui, Suvra Pal, Nutan Mishra, 2021, Journal of Statistical Theory and Practice.

Illustration of the Flexibility of Generalized Gamma Distribution in Modeling Right Censored Survival Data: Analysis of Two Cancer Datasets

Hongbo Yu, Suvra Pal, Zachary D. Loucks, 2020, Annals of Data Science.

On some inferential issues for the destructive COM-Poisson-generalized gamma regression cure rate model

Jacob Majakwara, Suvra Pal, S. Pal, 2019, Commun. Stat. Simul. Comput..

Illustration of the Flexibility of Generalized Gamma Distribution in Modeling Right Censored Survival Data: Analysis of Two Cancer Datasets

Zachary D. Loucks, S. Pal, Hongbo Yu, 2019, Annals of Data Science.

Likelihood inference based on EM algorithm for the destructive length-biased Poisson cure rate model with Weibull lifetime

Narayanaswamy Balakrishnan, Suvra Pal, N. Balakrishnan, 2018, Commun. Stat. Simul. Comput..

An EM type estimation procedure for the destructive exponentially weighted Poisson regression cure model under generalized gamma lifetime

N. Balakrishnan, S. Pal, 2017 .

An EM algorithm for the estimation of parameters of a flexible cure rate model with generalized gamma lifetime and model discrimination using likelihood- and information-based methods

Narayanaswamy Balakrishnan, Suvra Pal, N. Balakrishnan, 2015, Comput. Stat..

LIKELIHOOD-BASED INFERENTIAL METHODS FOR SOME FLEXIBLE CURE RATE MODELS

Suvra Pal, Suvra Pal, S. Pal, 2014 .

Optimal personalized therapies in colon-cancer induced immune response using a Fokker-Planck framework

Souvik Roy, S. Pal, 2022, 2209.03812.

A Fokker–Planck feedback control framework for optimal personalized therapies in colon cancer-induced angiogenesis

Souvik Roy, S. Pal, Zui Pan, 2021, Journal of Mathematical Biology.

A new non-linear conjugate gradient algorithm for destructive cure rate model and a simulation study: illustration with negative binomial competing risks

Souvik Roy, Suvra Pal, S. Pal, 2019, Commun. Stat. Simul. Comput..

On the estimation of destructive cure rate model: A new study with exponentially weighted Poisson competing risks

Souvik Roy, Suvra Pal, Souvik Roy, 2021, Statistica Neerlandica.

Predictive evaluation of powder X-ray diffractograms of pharmaceutical formulation powders based on infrared spectroscopy.

Y. Otsuka, Akira Ito, Masaki Takeuchi, 2020, Bio-medical materials and engineering.

A two‐way flexible generalized gamma transformation cure rate model

S. Pal, Pei Wang, 2022, Statistics in medicine.

A New Estimation Algorithm for Box-Cox Transformation Cure Rate Model and Comparison With EM Algorithm

Souvik Roy, Suvra Pal, Souvik Roy, 2019, 1905.05963.

Predictive evaluation of multicomponent direct compress model tablets by integrating sphere UV-Vis spectroscopy and chemometrics

Y. Otsuka, S. Pal, 2021, Bio-Medical Materials and Engineering.

A Device to Predict Short-Term Healing Outcome of Chronic Wounds

A. Nair, Wenjing Hu, Suvra Pal, 2020, Advances in wound care.

A semiparametric promotion time cure model with support vector machine

S. Pal, Wisdom Aselisewine, 2023, The Annals of Applied Statistics.

A wound alkalinity measurement to predict non-healing wound outcomes.

Liping Tang, A. Nair, Wenjing Hu, 2022, Journal of wound care.

On the integration of decision trees with mixture cure model

S. Pal, Wisdom Aselisewine, 2023, Statistics in medicine.

Scale-mixture Birnbaum-Saunders quantile regression models applied to personal accident insurance data

H. Saulo, Alan Dasilva, S. Pal, 2021, 2107.10365.

Quantification of Pharmaceutical Compounds Based on Powder X-Ray Diffraction with Chemometrics.

Y. Otsuka, Akira Ito, Masaki Takeuchi, 2016, Chemical & pharmaceutical bulletin.

Prediction of differential scanning calorimetry curve of theophylline direct compression model tablet using Raman spectra

Suvra Pal, Y. Otsuka, Akira Ito, 2019, Journal of Drug Delivery Science and Technology.

A non‐contact device for fast screening of wound infections

Liping Tang, A. Nair, Wenjing Hu, 2021, Experimental dermatology.