Indian Institute of Management Calcutta

About: Indian Institute of Management Calcutta is a education organization based out in Kolkata, India. It is known for research contribution in the topics: Supply chain & Emerging markets. The organization has 415 authors who have published 1354 publications receiving 21725 citations. The organization is also known as: IIMC & IIM Calcutta.

Probability matching priors for predicting a dependent variable with application to regression models

Abstract: In a Bayesian setup, we consider the problem of predicting a dependent variable given an independent variable and past observations on the two variables. An asymptotic formula for the relevant posterior predictive density is worked out. Considering posterior quantiles and highest predictive density regions, we then characterize priors that ensure approximate frequentist validity of Bayesian prediction in the above setting. Application to regression models is also discussed.

Uber’s entrepreneurship discourse and its neoliberal appeal: analysis of coverage in English-language dailies in India

Abstract: This study examines how the top two English-language newspapers in India constructed the entrepreneurship discourse used by online cab aggregator firm, Uber Technology Inc., in India, its second-la...

Highly efficient factorial designs for cDNA microarray experiments: use of approximate theory together with a step-up step-down procedure

Abstract: A general method for obtaining highly efficient factorial designs of relatively small sizes is developed for cDNA microarray experiments. It allows the main effects and interactions to be of possibly unequal importance. First, the approximate theory is employed to get an optimal design measure which is then discretized. It is, however, observed that a naive discretization may fail to yield an exact design of the stipulated size and, even when it yields such an exact design, there is often scope for improvement in efficiency. To address these issues, we propose a step-up/down procedure which is seen to work very well. The resulting designs turn out to be quite robust to possible dye-color effects and heteroscedasticity. We focus on the baseline and all-to-next parametrizations but our method works equally well also for hybrids of the two and other parametrizations.

Dimensions of Privacy Concerns amongst Online Buyers in India

Abstract: Internet is quickly becoming the public electronic marketplace. Though the internet has revolutionized retail and direct marketing, the full scale incorporation and acceptance of the internet marketplace with the modern business is limited. One major inhibition shown by the internet buyers is in the form of lack of confidence in the newly developed marketing machinery/technology and concern related fear and distrust regarding loss of personal privacy due to easy access of personal information to the marketers. This concern about personal information and privacy varies with consumers especially with countries. It is also suggested that importance provided to various privacy dimensions would vary. The research investigates different dimensions and their interrelationship to identify factors affecting privacy concern among Net buyers in India.