Items where Subject is "Applied Statistics and Computing"

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Number of items at this level: 32.

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.

C

Chakraborty, A and Chandru, V and Rao, M R (2019) A linear programming primer: from Fourier to Karmarkar. Annals of Operations Research.

Chandru, V and Rao, M R (1996) Combinatorial Optimization: An Integer Programming Perspective. ACM Computing Surveys, 28 (1). pp. 55-58.

Chandru, V and Rao, M R (2012) Integer Programming. Working Paper. SSRN. (Unpublished)

Chandru, V and Rao, M R (2010) Integer programming. In: Algorithms and theory of computation handbook. Chapman & Hall/CRC, p. 31.

Chandru, V and Rao, M R (2012) Linear Programming. Working Paper. SSRN. (Unpublished)

Chandru, V and Rao, M R (2010) Linear programming. In: Algorithms and theory of computation handbook. Chapman & Hall/CRC, p. 30.

Chandru, V and Rao, M R and Swaminathan, G (2012) Protein Folding on Lattices: An Integer Programming Approach. Working Paper. SSRN. (Unpublished)

D

Dhar, R and Goel, S and Rao, M R (2012) EMPOV II Model: Basic Needs Availability and Appropriate Pricing and Income Policies for Poverty Alleviation. Working Paper. SSRN. (Unpublished)

F

Feinberg, E and Mandava, M and Shiryaev, A N (2017) Kolmogorov’s Equations for Jump Markov Processes with Unbounded Jump Rates. Annals of Operations Research.

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.

P

Panjwani, S and Uppal, A and Cutrell, E (2011) Script-agnostic Reflow of Text in Document Images. In: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services.

R

Rao, A and Rao, M R (2012) Media Planning - Maximizing Gross OTS. Working Paper. SSRN. (Unpublished)

Rao, A and Rao, M R (2012) A Note on the Economic Sizing of Warehouses: A Linear Programming Approach. Working Paper. SSRN. (Unpublished)

Rao, A and Rao, M R (2012) A Note on the Multi-Component Deterministic Opportunistic Replacement. Working Paper. SSRN. (Unpublished)

Rao, A and Rao, M R (2012) A Solution Procedure for the Multi-Component Deterministic Opportunistic Replacement Problem. Working Paper. SSRN. (Unpublished)

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 Hillmer, S and Shenoy, P P (2017) On computing probabilities of dismissal of 10b-5 securities class-action cases. Decision Support Systems, 94. 29 - 41.

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.

This list was generated on Fri Sep 20 17:13:30 2019 IST.