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Congratulations to my PhD student Ruiman Zhong on her first first-author paper! 🎉 Bayesian hierarchical models for the combination of spatially misaligned data: a comparison of melding and downscaler using INLA & SPDE 🔗 link.springer.com/article/10.100… #RINLA #spatial #airpollution

JSM presentation

I have updated the slides of my course Spatial Data Science with #rstats 📊🌍📈💻 More on interactive visualizations, dashboards, and Shiny apps: 👉 paulamoraga.com/presentation-c… #rspatial #GISchat #dataviz #epitwitter #rshiny

IMS International Conference on Statistics and Data Science, Professor Hernando Ombao is a brilliant chair for Dimension Reduction and Causality in High Dimensional Models.

#KAUST Professor Paula Moraga 🌍💻📊 has authored a new book, "Spatial Statistics for Data Science: Theory and Practice with R," a collection of years of her insightful lectures and a perfect resource for researchers in #geographical information! 🗺️ 📚 kaust.news/KMJD

Great things take time. Finally, the INLAjoint library is available for joint models for longitudinal and survival data. Check paper at: arxiv.org/pdf/2402.08335… #RINLA

#Dengue cases are increasing in Brazil 🇧🇷. We built #denguetracker to monitor the spread of dengue & help decision making. We use Google data to correct for delays. Feedback/contributions welcome. 👉diseasesurveillance.github.io/dengue-tracker… With Rafael Izbicki Guilherme Soares Leo Bastos

O curso da Paula Moraga 🌍💻📊 e o material do site dela é mto bom. Acho que você poderia incluir tb o pacote sits de análise de séries temporais de imagens (full disclaimer: sou autor). Tambem poderia incluir o Brazil Data Cube BDC (+)

#DengueTracker provides weekly estimates of #dengue cases in #Brazil 🇧🇷 We added new analyses and interactivity for better surveillance🦟📈🏥 👉 diseasesurveillance.github.io/dengue-tracker… Guilherme Soares Rafael Izbicki Leo Bastos Denis Rodrigues ISNTD GlobalVectorHub ENSP/Fiocruz Fiocruz OPS/OMS PAHO/WHO

Happy birthday to him Håvard Rue the brain behind INLA.

Within < 1 year our forecast combination review paper received 100 cites👏👏👏 In the paper, Xiaoqian Wang @robjhyndman Yanfei Kang and I carefully surveyed simple to nonlinear combinations for point/probabilistic forecasts with different dialects in ML/DL doi.org/10.1016/j.ijfo…

Come find us at booth 401 at #JSM2024, and browse the books either in person or in the virtual bookstore for the latest #statistics #books with 30% off: routledge.com/go/JSM CRC Press CRC Press Data Science, Stats, and Math Books #rstats