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.								
							
													
                Filters
            
            
            
            
        
						64 result(s)
					
				Passenger-Centric Slot Allocation at Schedule-Coordinated Airports
				S Birolini, A Jacquillat, P Schmedeman, N Ribeiro, 2023, Transportation Science, vol. 57 (1), 4-26, https://pubsonline.informs.org/doi/pdf/10.1287/trsc.2022.1165			
			            Probability Bounds for N Random Events Under (n− 1)-wise Independence
				K Natarajan, A Ramachandra, C Tan, 2023, Operations Research Letters, 116-122, https://www.sciencedirect.com/science/article/pii/S0167637723000044			
			            Systemic Risk in Financial Networks: The Effects of Asymptotic Independence
				B. Das and V. Fasen-Hartmann, 2023, Under review (Finance and Stochastics), https://arxiv.org/abs/2309.15511			
			            Understanding Short-distance Travel to School in Singapore: A Data-driven Approach
				F. Benita, G. Bansal, G. Piliouras, B. Tunçer, 2023, Travel Behaviour and Society, 31, 349-362, https://doi.org/10.1016/j.tbs.2023.01.007			
			            The Random QUBO
				K Natarajan, 2022, The Quadratic Unconstrained Binary Optimization Problem: Theory, Algorithms, and Applications, 187-206, https://sutd.primo.exlibrisgroup.com/openurl/65SUTD_INST/65SUTD_INST:65SUTD?sid=google&auinit=K&aulast=Natarajan&atitle=The+Random+QUBO&id=doi:10.1007/978-3-031-04520-2_7			
			            Submodularity and Pairwise Independence
				A Ramachandra, K Natarajan, 2022, SSRN Electronic Journal, 1-38, https://arxiv.org/pdf/2209.08563.pdf			
			            The Limit of the Marginal Distribution Model in Consumer Choice
				Y Ruan, X Li, K Murthy, K Natarajan, 2022, 1-65			
			            A Representative Consumer Model in Data-driven Multiproduct Pricing Optimization
				Z Yan, K Natarajan, CP Teo, C Cheng, 2022, Management Science, Volume 68, Issue 8, Pages 5798-5827, https://pubsonline.informs.org/doi/pdf/10.1287/mnsc.2021.4182			
			            Distributionally Robust Linear and Discrete Optimization with Marginals
				L Chen, W Ma, K Natarajan, D Simchi-Levi, Z Yan, 2022, Operations Research, Volume 70, Issue 3, 1822-1834, https://pubsonline.informs.org/doi/pdf/10.1287/opre.2021.2243			
			            Admission Control In the Presence of Arrival Forecasts with Blocking-based Policy Optimization
				K. Murthy, D. Padmanabhan, S. Bhatpp. , 2022, Winter Simulation Conference, 2270 – 2281, https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10015468			
			            