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Arindam Fadikar
Arindam Fadikar
Assistant Computational Statistician
Verifisert e-postadresse på anl.gov - Startside
Tittel
Sitert av
Sitert av
År
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
71*2022
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
672021
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
632018
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
602019
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
262021
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
122023
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
112022
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
62023
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
22024
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
12024
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
Incorporating social determinants of health into agent-based models of HIV transmission: methodological challenges and future directions
AL Hotton, P Nascimento De Lima, A Fadikar, NT Collier, AS Khanna, ...
Frontiers in Epidemiology 5, 1533119, 2025
2025
Distributed Model Exploration with EMEWS
N Collier, JM Wozniak, A Fadikar, A Stevens, J Ozik
2024 Winter Simulation Conference (WSC), 72-86, 2024
2024
Gearing Gaussian process modeling and sequential design towards stochastic simulators
M Binois, A Fadikar, A Stevens
arXiv preprint arXiv:2412.07306, 2024
2024
O'Hare Airport roadway traffic prediction via data fusion and Gaussian process regression
DM Akinlana, A Fadikar, SM Wild, N Zuniga-Garcia, J Auld
Journal of Traffic and Transportation Engineering (English Edition) 11 (4 …, 2024
2024
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
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Artikler 1–17