8 citations · 15 across the 10 of their papers we have counts for
10 papers
Likelihood-based Inference for Skewed Responses in a Crossover Trial Setup
Savita Pareek, Kalyan Das, Siuli Mukhopadhyay
This work proposes a statistical model for crossover trials with multiple skewed responses measured in each period. A 3 3 crossover trial data where different drug doses w…
Graphical estimation of multivariate count time series
Sathish Vurukonda, Debraj Chakraborty, Siuli Mukhopadhyay
The problems of selecting partial correlation and causality graphs for count data are considered. A parameter driven generalized linear model is used to describe the observed multi…
G-optimal grid designs for kriging models
Subhadra Dasgupta, Siuli Mukhopadhyay, Jonathan Keith
This work is focused on finding G-optimal designs theoretically for kriging models with two-dimensional inputs and separable exponential covariance structures. For design compariso…
Likelihood-based Missing Data Analysis in Crossover Trials
Savita Pareek, Kalyan Das, Siuli Mukhopadhyay
A multivariate mixed-effects model seems to be the most appropriate for gene expression data collected in a crossover trial. It is, however, difficult to obtain reliable results us…
Optimal designs for some bivariate cokriging models
Subhadra Dasgupta, Siuli Mukhopadhyay, Jonathan Keith
This article focuses on the estimation and design aspects of a bivariate collocated cokriging experiment. For a large class of covariance matrices, a linear dependency criterion is…
ARMA Models for Zero Inflated Count Time Series
Vurukonda Sathish, Siuli Mukhopadhyay, Rashmi Tiwari
Zero inflation is a common nuisance while monitoring disease progression over time. This article proposes a new observation driven model for zero inflated and over-dispersed count…
Predictive Likelihood for Coherent Forecasting of Count Time Series
Siuli Mukhopadhyay, V. Sathish
A new forecasting method based on the concept of the profile predictive the likelihood function is proposed for discrete-valued processes. In particular, generalized autoregressive…
Bayesian Crossover Designs for Generalized Linear Models
Satya Prakash Singh, Siuli Mukhopadhyay
This article discusses D-optimal Bayesian crossover designs for generalized linear models. Crossover trials with t treatments and p periods, for , are considered. The desig…
Optimal two-treatment crossover designs for binary response models
S. Mukhopadhyay, S. P. Singh, A. Dey
Optimal two-treatment, period crossover designs for binary responses are determined. The optimal designs are obtained by minimizing the variance of the treatment contrast estim…
On generalized multinomial models and joint percentile estimation
I. Das, S. Mukhopadhyay
This article proposes a family of link functions for the multinomial response model. The link family includes the multicategorical logistic link as one of its members. Conditions f…