3 citations · 7 across the 14 of their papers we have counts for
15 papers
A Sequential Quadratic Hamiltonian-Based Estimation Method for Box-Cox Transformation Cure Model
Phuong Bui, Varun Jadhav, Suvra Pal +1
We propose an enhanced estimation method for the Box-Cox transformation (BCT) cure rate model parameters by introducing a generic maximum likelihood estimation algorithm, the seque…
A New Cure Rate Model with Discrete and Multiple Exposures
Suvra Pal
Cure rate models are mostly used to study data arising from cancer clinical trials. Its use in the context of infectious diseases has not been explored well. In 2008, Tournoud and…
Likelihood-Based Inference for Semi-Parametric Transformation Cure Models with Interval Censored Data
Suvra Pal, Sandip Barui
A simple yet effective way of modeling survival data with cure fraction is by considering Box-Cox transformation cure model (BCTM) that unifies mixture and promotion time cure mode…
Parametric quantile autoregressive conditional duration models with application to intraday value-at-risk
Helton Saulo, Suvra Pal, Rubens Souza +2
The modeling of high-frequency data that qualify financial asset transactions has been an area of relevant interest among statisticians and econometricians -- above all, the analys…
Bivariate autoregressive conditional models: A new method for jointly modeling duration and number of transactions of irregularly spaced financial data
Helton Saulo, Suvra Pal, Roberto Vila
In this paper, a new approach to bivariate modeling of autoregressive conditional duration (ACD) models is proposed. Specifically, we consider the joint modeling of durations and t…
A Semi-parametric Promotion Time Cure Model with Support Vector Machine
Suvra Pal, Wisdom Aselisewine
The promotion time cure rate model (PCM) is an extensively studied model for the analysis of time-to-event data in the presence of a cured subgroup. There are several strategies pr…
Optimal personalized therapies in colon-cancer induced immune response using a Fokker-Planck framework
Souvik Roy, Suvra Pal
In this paper, a new stochastic framework to determine optimal combination therapies in colon cancer-induced immune response is presented. The dynamics of colon cancer is described…
Parametric quantile autoregressive moving average models with exogenous terms applied to Walmart sales data
Alan Dasilva, Helton Saulo, Roberto Vila +2
Parametric autoregressive moving average models with exogenous terms (ARMAX) have been widely used in the literature. Usually, these models consider a conditional mean or median dy…
A Support Vector Machine Based Cure Rate Model For Interval Censored Data
Suvra Pal, Yingwei Peng, Sandip Barui +1
The mixture cure rate model is the most commonly used cure rate model in the literature. In the context of mixture cure rate model, the standard approach to model the effect of cov…
A Fokker-Planck feedback control framework for optimal personalized therapies in colon cancer-induced angiogenesis
Souvik Roy, Zui Pan, Suvra Pal
In this paper, a new framework for obtaining personalized optimal treatment strategies in colon cancer-induced angiogenesis is presented. The dynamics of colon cancer is given by a…
A Stochastic Version of the EM Algorithm for Mixture Cure Rate Model with Exponentiated Weibull Family of Lifetimes
Sandip Barui, Suvra Pal, Nutan Mishra +1
Handling missing values plays an important role in the analysis of survival data, especially, the ones marked by cure fraction. In this paper, we discuss the properties and impleme…
Scale-mixture Birnbaum-Saunders quantile regression models applied to personal accident insurance data
Alan Dasilva, Helton Saulo, Roberto Vila +1
The modeling of personal accident insurance data has been a topic of extreme relevance in the insurance literature. This kind of data often exhibits positive skewness and heavy tai…
A Simplified Stochastic EM Algorithm for Cure Rate Model with Negative Binomial Competing Risks: An Application to Breast Cancer Data
Suvra Pal
In this paper, a long-term survival model under competing risks is considered. The unobserved number of competing risks is assumed to follow a negative binomial distribution that c…
A New Estimation Algorithm for Box-Cox Transformation Cure Rate Model and Comparison With EM Algorithm
Suvra Pal, Souvik Roy
In this paper, we develop a new estimation procedure based on the non-linear conjugate gradient (NCG) algorithm for the Box-Cox transformation cure rate model. We compare the perfo…
A New Non-Linear Conjugate Gradient Algorithm for Destructive Cure Rate Model and a Simulation Study: Illustration with Negative Binomial Competing Risks
Suvra Pal, Souvik Roy
In this paper, we propose a new estimation methodology based on a projected non-linear conjugate gradient (PNCG) algorithm with an efficient line search technique. We develop a gen…