Research output per year
Research output per year
Organization profile
Profile Information
The Statistics (STAT) program educates students to analyze and model complex real-world problems
arising in modern Statistical Data Science. Two degrees are offered: the M.S. degree (under either a Thesis
or a Non-Thesis option) and the Ph.D. degree. Admission to one degree does not guarantee transfer to
another. All students in the M.S. and Ph.D. programs are guided by a Faculty Advisor to develop their
program of study.
Fingerprint
Dive into the research topics where Statistics is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes
Cisneros, D., Gong, Y., Yadav, R., Hazra, A. & Huser, R., Jun 2023, In: Extremes. 26, 2, p. 301-330 30 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
A comparison of machine learning methods for ozone pollution prediction
Harrou, F. & Sun, Y., May 15 2023, In: Journal of Big Data. 10, 1Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
A Comparison of Spatial and Nonspatial Methods in Statistical Modeling of NO2: Prediction Accuracy, Uncertainty Quantification, and Model Interpretation
Lu, M., Cavieres, J. & Moraga, P., Jan 17 2023, In: Geographical Analysis.Research output: Contribution to journal › Article › peer-review
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A Deep Recurrent Neural Network Framework for Swarm Motion Speed Prediction
Khaldi, B., Harrou, F., Dairi, A. & Sun, Y., Mar 18 2023, In: Journal of Electrical Engineering and Technology.Research output: Contribution to journal › Article › peer-review
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A new avenue for Bayesian inference with INLA
Van Niekerk, J., Krainski, E. T., Rustand, D. & Rue, H., Jan 27 2023, In: Computational Statistics and Data Analysis. 181, p. 107692Research output: Contribution to journal › Article › peer-review
2 Scopus citations
Prizes
Press/Media
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Recent Studies from Manipal Academy of Higher Education Add New Data to Wind Turbines (Enhancing Wind Turbine Performance: Statistical Detection of Sensor Faults Based on Improved Dynamic Independent Component Analysis)
08/23/23
1 item of Media coverage
Press/Media: Press / Media
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King Abdullah University of Science and Technology (KAUST) Reports Findings in Biomarkers (Fast and flexible inference for joint models of multivariate longitudinal and survival data using integrated nested Laplace approximations)
Haavard Rue, Janet Van Niekerk, Elias Krainski & Denis Rustand
08/10/23
1 item of Media coverage
Press/Media: Press / Media
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New Findings in Machine Learning Described from King Abdullah University of Science and Technology (KAUST) (Unlocking the Potential of Wastewater Treatment: Machine Learning Based Energy Consumption Prediction)
07/6/23
1 item of Media coverage
Press/Media: Press / Media
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Reports on Statistics from King Abdullah University of Science and Technology (KAUST) Provide New Insights (A Space-time Model With Temporal Cyclostationarity for Probabilistic Forecasting and Simulation of Solar Irradiance Data)
Georgiy Stenchikov & Marc Genton
06/20/23
1 item of Media coverage
Press/Media: Press / Media
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Findings from King Abdullah University of Science and Technology (KAUST) Update Knowledge of Statistics (Smooth Online Parameter Estimation for Time Varying Var Models With Application To Rat Local Field Potential Activity Data)
06/12/23
1 item of Media coverage
Press/Media: Press / Media