# Items where Subject is "Applied Statistics and Computing"

Up a level |

- ISB Faculty (17)
**Applied Statistics and Computing**(17)

**17**.

## A

Agarwal, R and Bapna, R and Yong Goh, K and Ghose, A and Shmueli, G and Slaughter, S
(2014)
*Does Growing Demand for Data Science Create New Opportunities for Information Systems?*
In: Thirty Fifth International Conference on Information Systems, 2014, Auckland.

## G

Ghoshal, T and Boatwright, P and Malika, M
(2015)
*Curvature From All Angles: An Integrative Review and Implications for Product Design.*
In:
The Psychology of Design: Creating Consumer Appeal.
Routledge, New York.
ISBN 9781317502104

## K

Kunnumkal, S and Mart´ınez-de-Alb´eniz, V
(2016)
*Tractable Models and Algorithms for Assortment Planning with Product Costs.*
Project Report.
Indian School of Business, Hyderabad.
(Submitted)

Kunnumkal, S and Talluri, K
(2016)
*On a Piecewise-Linear Approximation for Network Revenue Management.*
Mathematics of Operations Research, 41 (1).
pp. 72-91.

Kunnumkal, S and Topaloglu, H
(2010)
*A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm.*
ACM Transactions on Modeling and Computer Simulation, 20 (3).

## L

Lenchner, J and Rosu, D and Velasquez, N F and Guo, S and Christiance, K and DeFelice, D and Deshpande, P M and Kummamuru, K and Kraus, N and Luan, L Z and Majumdar, D and McLaughlin, M and Ofek-Koifman, S and P, D and Perng, C S and Roitman, H and Ward, C and Young, J
(2009)
*A service delivery platform for server management services.*
IBM Journal of Research and Development, 53 (6).
ISSN 00188646

## M

Muthuraman, K and Seshadri, S and Wu, Q
(2015)
*Inventory Management with Stochastic Lead Times.*
Mathematics of Operations Research, 40 (2).
pp. 302-327.

## S

Saranga, H
(2007)
*Multiple objective data envelopment analysis as applied to the Indian Pharmaceutical Industry.*
Journal of the Operational Research Society, 58 (11).
pp. 1480-1493.

Sellers, K F and Borle, S and Shmueli, G
(2012)
*The COM-Poisson model for count data: A survey of methods and applications.*
Applied Stochastic Models in Business and Industry, 28 (2).
pp. 104-116.

Sellers, K F and Borle, S and Shmueli, G
(2012)
*Rejoinder: The COM-Poisson Model for count data: A survey of methods and applications.*
Applied Stochastic Models in Business and Industry, 28 (2).
pp. 128-129.

Sellers, K F and Shmueli, G
(2010)
*Data Dispersion: Now You See it... Now You Don't.*
Working Paper.
Indian School of Business, Hyderabad.

Sellers, K F and Shmueli, G
(2013)
*Data dispersion: Now you see it. now you don't.*
Communications in Statistics - Theory and Methods, 42 (17).
pp. 3134-3137.

Sellers, K F and Shmueli, G
(2010)
*Predicting Censored Count Data with COM-Poisson Regression.*
Working Paper.
Indian School of Business, Hyderabad.

Shmueli, G and Koppius, O
(2010)
*Predictive Analytics in Information Systems Research.*
Working Paper.
Indian School of Business, Hyderabad.

Shmueli, G and Yahav, I and Ramat Gan, I
(2014)
*Tackling Simpson's Paradox in Big Data Using Classification & Regression Trees.*
Twenty Second European Conference on Information Systems, Tel Aviv 2014.

Singha, S and Shenoy, P P
(2018)
*An adaptive heuristic for feature selection based on complementarity.*
Machine Learning, 107 (12).
pp. 2027-2071.

## T

Thomas, S A and Feng, S and Krishnan, T V
(2015)
*To retain? To upgrade? The effects of direct mail on regular donation behavior.*
International Journal of Research in Marketing, 32 (1).
48 - 63.