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Arindam Fadikar
Arindam Fadikar
Assistant Computational Statistician
Verified email at anl.gov - Homepage
Title
Cited by
Cited by
Year
Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints
S Venkatramanan, J Chen, A Fadikar, S Gupta, D Higdon, B Lewis, ...
PLoS computational biology 15 (9), e1007111, 2019
542019
Analyzing stochastic computer models: A review with opportunities
E Baker, P Barbillon, A Fadikar, RB Gramacy, R Herbei, D Higdon, ...
Statistical Science 37 (1), 64-89, 2022
50*2022
Calibrating a stochastic, agent-based model using quantile-based emulation
A Fadikar, D Higdon, J Chen, B Lewis, S Venkatramanan, M Marathe
SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1685-1706, 2018
502018
Forecasting influenza activity using machine-learned mobility map
S Venkatramanan, A Sadilek, A Fadikar, CL Barrett, M Biggerstaff, J Chen, ...
Nature communications 12 (1), 726, 2021
482021
Scalable epidemiological workflows to support covid-19 planning and response
D Machi, P Bhattacharya, S Hoops, J Chen, H Mortveit, S Venkatramanan, ...
2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021
212021
Machine learning synthetic spectra for probabilistic redshift estimation: SYTH-Z
N Ramachandra, J Chaves-Montero, A Alarcon, A Fadikar, S Habib, ...
Monthly Notices of the Royal Astronomical Society 515 (2), 1927-1941, 2022
72022
Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis
N Collier, JM Wozniak, A Stevens, Y Babuji, M Binois, A Fadikar, A Würth, ...
arXiv preprint arXiv:2304.14244, 2023
52023
Trajectory-oriented optimization of stochastic epidemiological models
A Fadikar, M Binois, N Collier, A Stevens, KB Toh, J Ozik
https://doi.org/10.48550/arXiv.2305.03926, 2023
12023
Scalable statistical inference of photometric redshift via data subsampling
A Fadikar, SM Wild, J Chaves-Montero
International Conference on Computational Science, 245-258, 2021
12021
Stochastic Computer Model Calibration and Uncertainty Quantification
A Fadikar
virginia tech, 2019
12019
Group Heteroscedasticity - A Silent Saboteur of Power and False Discovery in RNA-Seq Differential Expression
S Chatterjee, A Fadikar, V Hanumesh, SS Meshram, RS Zoh, S Ma, ...
https://doi.org/10.1101/2024.04.01.587633, 2024
2024
O’Hare Airport Short-Term Ground Transportation Modal Demand Forecast Using Gaussian Processes
N Zuniga-Garcia, A Fadikar, DM Akinlana, J Auld
Journal of Transportation Engineering, Part A: Systems 150 (3), 04023143, 2024
2024
Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo
arindam fadikar, abby stevens, KB collier, nicholson, Toh, O Morozova, ...
https://arxiv.org/abs/2402.15619, 2024
2024
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