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ORCIDDashi I. Singham
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2020 – today
- 2023
[c14]Dashi I. Singham:
Estimating Quantile Fields for a Simulated Model of a Homeless Care System. WSC 2023: 1054-1064- 2022
- [j9]Dashi I. Singham
, Mark D. Rodgers:
A shortage probability metric for battery depletion risk. Oper. Res. Lett. 50(6): 660-666 (2022) - [c13]Raghu Pasupathy, Dashi I. Singham, Yingchieh Yeh:
Overlapping Batch Confidence Regions on the Steady-State Quantile Vector. WSC 2022: 25-36 - 2021
- [j8]Colton Gingrass, Dashi I. Singham, Michael P. Atkinson:
Shape Analysis of Flight Trajectories Using Neural Networks. J. Aerosp. Inf. Syst. 18(11): 762-773 (2021) - [c12]Dashi I. Singham, J. George Shanthikumar:
Competing Incentives in Sequential Sampling Rules. WSC 2021: 1-10 - 2020
- [j7]Jesse A. Nunez, Dashi I. Singham, Michael P. Atkinson:
A particle filter approach to estimating target location using Brownian bridges. J. Oper. Res. Soc. 71(4): 589-605 (2020) - [c11]Dashi I. Singham, Henry Lam:
Sample Average Approximation For Functional Decisions Under Shape Constraints. WSC 2020: 2791-2799
2010 – 2019
- 2019
- [j6]Dashi I. Singham:
Sample average approximation for the continuous type principal-agent problem. Eur. J. Oper. Res. 275(3): 1050-1057 (2019) - 2018
- [j5]Wenbo Cai, Dashi I. Singham:
A principal-agent problem with heterogeneous demand distributions for a carbon capture and storage system. Eur. J. Oper. Res. 264(1): 239-256 (2018) - 2017
- [c10]Dashi I. Singham, Wenbo Cai:
Sample average approximations for the continuous type principal-agent problem: An example. WSC 2017: 2010-2020 - 2016
- [j4]Kyle Y. Lin, Dashi I. Singham:
Finding a hider by an unknown deadline. Oper. Res. Lett. 44(1): 25-32 (2016) - [c9]Dashi I. Singham, Roberto Szechtman:
Multiple comparisons with a standard using false discovery rates. WSC 2016: 501-511 - 2015
- [c8]Dashi I. Singham, Michael P. Atkinson:
Cumulative mean bounds for quality control analysis. WSC 2015: 541-550 - 2014
- [j3]Lee W. Schruben, Dashi I. Singham:
Data-driven simulation of complex multidimensional time series. ACM Trans. Model. Comput. Simul. 24(1): 5:1-5:13 (2014) - [j2]Dashi I. Singham:
Selecting Stopping Rules for Confidence Interval Procedures. ACM Trans. Model. Comput. Simul. 24(3): 18:1-18:18 (2014) - [c7]Mumtaz Karatas, Emily M. Craparo, Dashi I. Singham:
Selection of a planning horizon for a hybrid microgrid using simulated wind forecasts. WSC 2014: 1050-1060 - 2013
- [c6]Dashi I. Singham, Johannes O. Royset, Roger J.-B. Wets:
Density estimation of simulation output using exponential epi-splines. WSC 2013: 755-765 - 2012
- [j1]Dashi I. Singham, Lee W. Schruben:
Finite-Sample Performance of Absolute Precision Stopping Rules. INFORMS J. Comput. 24(4): 624-635 (2012) - [c5]Joshua A. White, Dashi I. Singham:
Slope Stability Assessment using Stochastic Rainfall Simulation. ICCS 2012: 699-706 - 2011
- [c4]Lee Schruben, Dashi I. Singham:
Agent based simulation output analysis. WSC 2011: 540-548 - [c3]Dashi I. Singham, Meredith Therkildsen, Lee Schruben:
Applications of flocking algorithms to input modeling for agent movement. WSC 2011: 2443-2449 - 2010
- [c2]Lee W. Schruben, Dashi I. Singham:
Simulating multivariate time series using flocking. WSC 2010: 1048-1054
2000 – 2009
- 2009
- [c1]Dashi I. Singham, Lee W. Schruben:
Analysis of Sequential Stopping Rules. WSC 2009: 723-730
Coauthor Index
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