Going likelihood-free with neural networks 1 min read · Tue, Jan 30 2024 News A neural network-based approach offers an extremely fast and highly accurate alternative to the "gold standard" of likelihood estimation for statistical modeling of complex datasets.
New paper accepted in Natural Hazards and Earth System Sciences (NHESS) 1 min read · Fri, Jan 19 2024 Spotlight News New paper accepted: Dahal, A., Tanyas, H., van Westen, C., van der Meije, M., Mai, P. M, Huser, R., and Lombardo, L. (2024+), Space-time landslide hazard modeling via ensemble neural networks, Natural Hazards and Earth System Sciences, to appear [ PDF preprint]
New paper accepted in Spatial Statistics 1 min read · Mon, Jan 8 2024 Spotlight News Cisneros, D., Richards, J., Dahal, A., Lombardo, L., and Huser, R. (2024+), Deep graphical regression models for jointly moderate and extreme Australian wildfires, Spatial Statistics, to appear [ PDF preprint]
New paper accepted in Technometrics 1 min read · Wed, Jan 3 2024 Spotlight News New paper accepted: Gong, Y., Zhong, P., Opitz, T., and Huser, R. (2024+), Partial tail-correlation coefficient applied to extremal-network learning, Technometrics, to appear [ PDF preprint]
New paper accepted in Journal of Agricultural, Biological, and Environmental Statistics (JABES) 1 min read · Tue, Dec 19 2023 Spotlight News Cisneros, D., Hazra, A., and Huser, R. (2023+), Spatial wildfire risk modeling using a tree-based multivariate generalized Pareto mixture model, Journal of Agricultural, Biological, and Environmental Statistics, to appear [ PDF preprint]
New paper accepted in Journal of Computational and Graphical Statistics (JCGS) 1 min read · Wed, Nov 22 2023 Spotlight News New paper accepted: Huser, R., Stein, M. L., and Zhong, P. (2023+), Vecchia likelihood approximation for accurate and fast inference with intractable spatial max-stable models, Journal of Computational and Graphical Statistics, to appear [ PDF preprint]
Top honors for KAUST extSTAT group at EVA 2023 1 min read · Wed, Sep 13 2023 Awards News KAUST extSTAT Research Group wins prestigious awards at EVA 2023 Conference in Milan.
Congratulations to Daniela for successfully defending her PhD thesis 1 min read · Mon, Sep 11 2023 Spotlight News Left: Daniela and three (out of four) committee members after her PhD defense, with Prof. Jorge Mateu (left), Daniela (center left), Prof. Raphaël Huser (center right), and Prof. Hernando Ombao (right). Prof. Matteo Parsani (not on the picture) was the last committee member. Right: picture taken after the defense, with Daniela (center) and Prof. Raphael Huser (in right corner holding his three kids).
New paper accepted in Artificial Intelligence for the Earth Systems (AIES) 1 min read · Sun, Sep 10 2023 Spotlight News New paper accepted: Richards, J., Huser, R., Bevacqua, E., and Zscheischler, J. (2023+), Insights into the drivers and spatio-temporal trends of extreme Mediterranean wildfires with statistical deep-learning, Artificial Intelligence for the Earth Systems, to appear [ PDF preprint].
New paper accepted in Journal of the Royal Statistical Society: Series C 1 min read · Sat, Aug 5 2023 Spotlight News New paper accepted: Yadav, R., Huser, R., Opitz, T., and Lombardo, L. (2023+), Joint modeling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions, Journal of the Royal Statistical Society: Series C, to appear [ PDF preprint].
New paper accepted in The American Statistician 1 min read · Mon, Jul 31 2023 Spotlight News Bayes estimators Deep learning likelihood-free inference optimal inference spatial statistics New paper accepted: Sainsbury-Dale, M., Zammit-Mangion, A., and Huser, R. (2023+), Likelihood-free parameter estimation with neural Bayes estimators, The American Statistician, to appear [ PDF preprint].
Congratulations to Paolo and Yalla team for their success at the EVA2023 conference 1 min read · Thu, Jul 6 2023 News Spotlight We are thrilled to extend our warmest congratulations to Paolo Victor Redondo and Team Yalla for their outstanding achievements at the EVA 3023 conference! The event, which aims to bring together researchers in Extreme Value Theory (EVT), methods, and its applications, witnessed Paolo's remarkable win for the Best Poster Presentation and Team Yalla's triumphant victory in the EVA Data Competition. Paolo's Best Poster Presentation award demonstrates his commitment, hard work, and enthusiasm for EVT and biostatistics. His remarkable presenting abilities and groundbreaking work on brain
KAUST STAT Program graduates secure faculty positions at prominent U.S. universities 1 min read · Wed, Apr 19 2023 News KAUST graduates are characterized by the rigor of their Ph.D. programs, the long hours spent in the lab and classroom, juggling professional and personal commitments, achieving a work-life balance and, more recently, the ability to adapt to a global pandemic.
Congratulations to Matheus for successfully defending his PhD thesis 1 min read · Tue, Apr 4 2023 Spotlight News Left: Mathues and the beging of his defense, with Matheus (front) and Prof. Raphaël (right). Right: picture taken after the defense, with Matheus (center) and Prof. Raphael Huser (in his left side).
Congratulations to Yan for successfully defending her PhD thesis 1 min read · Tue, Mar 28 2023 Spotlight News Multivariate extremes extreme weather
KAUST Ph.D. student’s paper recognized by the American Statistical Association 1 min read · Mon, Mar 27 2023 News Spotlight KAUST Ph.D. statistics student Paolo Victor Redondo was selected as a runner-up in the American Statistical Association’s (ASA) Statistics in Imaging Section 2023 Distinguished Student Paper Award Competition
New paper accepted in Stat 1 min read · Sun, Mar 12 2023 Spotlight News New paper accepted: de Carvalho, M., Huser, R., and Rubio, R. (2023), Similarity-based clustering for patterns of extreme values, Stat 12, e560 [ journal][ PDF preprint].
Two new papers in Extremes 1 min read · Thu, Jan 19 2023 Spotlight News Two new papers accepted to the Extremes Special Issue on the EVA Data Competition: Zhang, Z., Krainski, E., Zhong, P., Rue, H., and Huser, R. (2023+), Joint modeling and prediction of massive Spatio-temporal wildfire count and burnt area data with the INLA-SPDE approach, Extremes, to appear [ PDF preprint]. Cisneros, D., Gong, Y., Yadav, R., Hazra, A., and Huser, R. (2022+), A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes, Extremes, to appear [ PDF preprint].
Professor Huser receives the Abdel El-Shaarawi Early Investigator Award 2022 1 min read · Sun, Nov 20 2022 Awards News KAUST Associate Professor of Statistics Raphaël Huser has been awarded the Abdel El-Shaarawi Early Investigator (AEEI) Award 2022 from The International Environmetrics Society (TIES), an association of the International Statistical Institute (ISI).
A skewed model for imbalanced health data 1 min read · Thu, Nov 10 2022 News An asymmetric statistical model provides a better fit for imbalanced data with rare "positives," such as longitudinal health datasets.
Flexible modeling of multivariate spatial extremes 1 min read · Sun, Oct 30 2022 News New paper accepted: Gong, Y., and Huser, R. (2022+), Flexible modeling of multivariate spatial extremes, Spatial Statistics, to appear [ PDF preprint].
New paper accepted in Electronic Journal of Statistics 1 min read · Fri, Oct 28 2022 Spotlight News Extreme-value model Kernel convolution process New paper accepted: Krupskii, P., and Huser, R. (2022+), Modeling spatial tail dependence with Cauchy convolution processes, Electronic Journal of Statistics, to appear [ PDF preprint].
Congratulations to Zhongwei for successfully defending his PhD thesis 1 min read · Tue, Oct 25 2022 Spotlight News Multivariate extremes extreme weather Left: Zhongwei before starting his PhD defense. Right: picture taken at the group dinner following the defense, with Zhongwei (center) and Prof. Raphael Huser (carrying a child next to Zhongwei)
New paper accepted in Biometrics 1 min read · Tue, Aug 2 2022 Spotlight News COVID-19 Markov models Asymmetric Correlated binary data New paper accepted: Zhang, Z., Arellano-Valle, R. B., Genton, M. G., and Huser, R. (2022+), Tractable Bayes of skew-elliptical link models for correlated binary data, Biometrics, to appear [ PDF preprint].
Extreme analysis of seizures 1 min read · Mon, Jun 27 2022 News neuroscience machine learning human health statistics CEMSE researchers Matheus Guerrero, Raphaël Huser and Hernando Ombao developed a new approach for analyzing seizures in epilepsy patients by applying extreme value theory to real EEG seizure data.
New paper accepted in Environmetrics - 2022 1 min read · Thu, May 19 2022 Spotlight News Statistics of extremes New paper accepted: Castro-Camilo, D., Huser, R., and Rue, H. (2022+), Practical strategies for GEV-based regression models for extremes, Environmetrics, to appear [ PDF preprint]
A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data 1 min read · Wed, May 11 2022 News Spatial Statistics publishes articles on the theory and application of spatial and spatio-temporal statistics. It favours manuscripts that present theory generated by new applications, or in which new theory is applied to an important practical case. A purely theoretical study will only rarely be accepted. Pure case studies without methodological development are not acceptable for publication.
Raphaël Huser promoted to Associate Professor of Statistics (effective July 1st, 2022) 1 min read · Wed, Apr 6 2022 Spotlight News
Congratulations to Rishikesh for successfully defending his PhD thesis 1 min read · Tue, Apr 5 2022 Spotlight News Left: Rishikesh before starting his PhD defense. Right: picture taken at a group dinner with Rishikesh (center) and Prof. Raphael Huser (carrying a child next to Rishikesh)
Congratulations to Xuanjie for successfully defending his MS thesis 1 min read · Tue, Apr 5 2022 Spotlight News Statistics of extremes Picture taken at a group dinner, with Xuanjie (front row, 5th from the right) and Prof. Raphaël Huser (center, carrying a child)
Congratulations to Peng for successfully defending his PhD thesis 1 min read · Mon, Apr 4 2022 Spotlight News Spatial extremes Title page of PhD defense slides Group picture with Peng (center), Prof. Raphael Huser (3rd from right), after Peng's defense
Getting the tail straight 1 min read · Sun, Apr 3 2022 News Environmental Statistics big data modeling statistics KAUST’s Extreme Statistics Group has developed an improved statistical model for analyzing environmental data of extreme events, such as heavy rainfall or strong wind data.
New paper accepted in Annals of Applied Statistics 1 min read · Wed, Mar 9 2022 Spotlight News New paper accepted: Guerrero, M. B., Huser, R., and Ombao, H. (2022+), Conex-Connect: Learning patterns in extremal brain connectivity from multi-channel EEG data, Annals of Applied Statistics, to appear [ PDF preprint].
Decrypting the interdependence of cryptocurrencies 1 min read · Tue, Mar 1 2022 News big data modeling statistics A team of KAUST statisticians has analyzed the price movements of the top five cryptocurrencies to further understand their market behavior. Their model will help investors assess the risks of investing in cryptocurrencies.
New paper accepted 1 min read · Tue, Mar 1 2022 Spotlight News statistics Spatial extremes Max-stable process Exact simulation New paper accepted: Zhong, P., Huser, R., and Opitz, T. (2022+), Exact simulation of max-infinitely divisible processes, Econometrics and Statistics [ arXiv][ PDF preprint ].
New book chapter accepted 1 min read · Tue, Jan 4 2022 Spotlight News statistics Spatial extremes New book chapter accepted: Hazra, A., Huser, R. , and Jóhannesson, Á. V. (2021+), Bayesian l atent Gaussian models for high-dimensional spatial extremes , In Statistical Modeling Using Bayesian Latent Gaussian Models – With Applications in Geophysics and Environmental Sciences, editor B. Hrafnkelsson, Springer, to appear [ arXiv ][ PDF preprint ].
New paper accepted in Extremes 1 min read · Sat, Dec 11 2021 Spotlight News spatio-temporal statistics extreme weather New paper accepted: Zhang, Z., Huser, R., Opitz, T., and Wadsworth, J. L. (2021+), Modeling spatial extremes using normal mean-variance mixtures, Extremes, to appear [ arXiv][ PDF preprint]
Congratulations to Arnab for his new position as Assistant Professor at the Indian Institute of Technology Kanpur 1 min read · Sat, Nov 20 2021 Spotlight News
Asymmetric tail dependence modeling, with application to cryptocurrency market data 1 min read · Fri, Nov 5 2021 News New paper accepted: Gong, Y., and Huser, R. (2021+), Asymmetric tail dependence modeling, with application to cryptocurrency market data , Annals of Applied Statistics [ arXiv][ PDF preprint ].
High-resolution Bayesian mapping of landslide hazard with unobserved trigger event 1 min read · Mon, Oct 18 2021 News landslide INLA Log-Gaussian Cox process New paper accepted: Opitz, T., Bakka, H., Huser, R. , and Lombardo, L. (2021+), High-resolution Bayesian mapping of landslide hazard with unobserved trigger event , Annals of Applied Statistics, to appear [ arXiv][ PDF preprint ].
Heatwave model shows it is hotter in more places, more often 1 min read · Sun, Sep 12 2021 News extreme weather climate change statistics New modeling shows that heatwaves across Europe have increased in both frequency and spatial extent over the past century.
Approximate Bayesian inference for analysis of spatio-temporal flood frequency data 1 min read · Thu, Aug 5 2021 News Statistics of extremes Spatial extremes extreme weather New paper accepted : Jóhannesson, Á. V., Siegert, S., Huser, R. , Bakka, H., and Hrafnkelsson, B. (2021+), Approximate Bayesian inference for analysis of spatio-temporal flood frequency data , Annals of Applied Statistics, to appear [ arXiv][ PDF preprint ]
Modeling non-stationary temperature maxima based on extremal dependence changing with event magnitude 1 min read · Thu, Jun 17 2021 News Statistics of extremes Spatial extremes extreme weather New paper accepted: Zhong, P., Huser, R., and Opitz, T. (2021+), Modeling non-stationary temperature maxima based on extremal dependence changing with event magnitude, Annals of Applied Statistics [ arXiv][ PDF preprint].
Predicting future hotspots in the Red Sea 1 min read · Thu, Apr 8 2021 News big data Red Sea climate science statistics Predicting areas of the Red Sea most susceptible to overheating by the end of the century could help conservation efforts to protect its precious coral reefs.
Modeling the neighborhood boosts landslide prediction 1 min read · Sun, Dec 13 2020 News statistics extreme statistics A prediction model that considers multiple landslides over time in a given region may improve the accuracy of early warning systems.
Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model 1 min read · Fri, Nov 6 2020 News statistics Spatial extremes Red Sea New paper accepted: Hazra, A., and Huser, R. (2020+), Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model, Annals of Applied Statistics [ PDF preprint].
New paper accepted in Environmetrics 2020 1 min read · Wed, Oct 21 2020 Spotlight News Statistics of extremes New paper accepted: Yadav, R., Huser, R. , and Opitz, T. (2020+), Spatial hierarchical modeling of threshold exceedances using rate mixtures , Environmetrics, to appear [ PDF preprint ].
Today we celebrate World Statistics Day! 1 min read · Tue, Oct 20 2020 News statistics healthcare Let’s discover the world of the statisticians at KAUST and be ready to be amazed by their cutting-edge research!
New paper accepted in Wiley Interdisciplinary Reviews (WIREs): Computational Statistics. 1 min read · Wed, Oct 7 2020 Spotlight News statistics computational statistics New paper accepted: Huser, R. , and Wadsworth, J. L. (2020+), Advances in statistical modeling of spatial extremes , Wiley Interdisciplinary Reviews (WIREs): Computational Statistics, to appear [ PDF preprint ].
New paper accepted in the Scandinavian Journal of Statistics (SJS) 1 min read · Wed, Aug 26 2020 Spotlight News New paper accepted: Huser, R. , Opitz, T., and Thibaud, E. (2020+), Max-infinitely divisible models and inference for spatial extremes , Scandinavian Journal of Statistics, to appear [ PDF preprint ]
