Data Science & Analytics
This field, situated at the intersection of technology, statistics, and business strategy, is dedicated to extracting valuable insights from diverse datasets. Utilizing advanced algorithms and machine learning techniques, data scientists analyze information to uncover patterns, trends, and correlations, driving innovation across industries.
Optimization with Marginals and Moments
K Natarajan, 2021, Dynamic Ideas LLC
Statistical Analysis of Wasserstein Distributionally Robust Estimators
J. Blanchet, K. Murthy, V. A. Nguye, 2021, INFORMS Tutorials in Operations Research J. Blanchet, K. Murthy, V. A. Nguye227 – 254 [Publication Link], 227 – 254, https://pubsonline.informs.org/doi/10.1287/educ.2021.0233
Stochastic Superiority Equilibrium in Game Theory
A Yekkehkhany, T Murray, R Nagi, 2021, Decision Analysis, 18, Issue 2, 153-168, https://pubsonline.informs.org/doi/pdf/10.1287/deca.2021.0429
The Main Factors Influencing COVID-19 Spread and Deaths in Mexico: A Comparison Between Phases I and II
F. Benita, F. Gasca-Sanchez, 2021, Applied Geography, 134, 102523, https://doi.org/10.1016/j.apgeog.2021.102523
Tree Bounds for Sums of Bernoulli Random Variables: A Linear Optimization Approach
D Padmanabhan, K Natarajan, 2021, Informs Journal on Optimization, Volume 3, Issue 1, 23-45, https://pubsonline.informs.org/doi/pdf/10.1287/ijoo.2019.0038
Worst-case Expected Shortfall with Univariate and Bivariate Marginals
A. Dhara, B. Das and K. Natarajan, 2021, Informs Journal on Computing, 33(1), 370-389, https://arxiv.org/abs/1701.04167
A Non-commutative Extension of Lee-Seung’s Algorithm for Positive Semidefinite Factorizations
Y.S. Soh and A. Varvitsiotis, NeurIPS 2021, https://arxiv.org/abs/2106.00293
A Representative Consumer Model in Data-driven Multiproduct Pricing Optimization
Z Yan, K Natarajan, CP Teo, C Cheng, Management Science, , , , Volume 68, Issue 8, Pages 5798-5827, https://pubsonline.informs.org/doi/pdf/10.1287/mnsc.2021.4182
An Augmented Lagrangian Method with Constraint Generation for Shape-constrained Convex Regression Problems
M. Lin, D. Sun, and K-C. Toh, Mathematical Programming Computation, 14(2), 223-270, https://link.springer.com/article/10.1007/s12532-021-00210-0