Our new working paper (Que será será? The uncertainty estimation of feature-based time series forecasts) with @XiaoqianWang7 Yanfei Kang & Fotios Petropoulos is now available for preview at arxiv.org/abs/1908.02891 But before you read it, let's enjoy this first youtube.com/watch?v=SdhAfM…

4 positions Lecturer/Senior Lecturer/Associate Professor in Business Analytics, U of Sydney Business School: sydney.nga.net.au/cp/index.cfm?e…

Check out the R package M5comp for the M5 #forecasting competition by Xixi Li and @XiaoqianWang7 . #rstats

Finally, I convinced Feng Li to use bookdown for the new edition of the book Distributed Statistical Computing: github.com/feng-li/distco… #lockdown

Our preprint "Distributed ARIMA Models for Ultra-long Time Series" (with @XiaoqianWang7 Yanfei Kang Rob J Hyndman @[email protected]) is available on arXiv arxiv.org/abs/2007.09577. Code is also implemented on Apache Spark github.com/xqnwang/darima. Feedbacks are welcome!

What an outstanding achievement! Grateful to Fotios Petropoulos

Congrats to @XiaoqianWang7 and Xixi Li from KLLAB.org for w㏌n㏌g the awards at #ISFConf2020． A very big thank you to the #ISFConf2020 organizers and the spo㎱ors. @gathana1 Tao Hong Pam Stroud Also very grateful to our collaborators! Rob J Hyndman @[email protected] and Fotios Petropoulos

Brilliant Forecaster.

#roamcult Hey guys, I developed a plug-in for Roam Research that can group Linked References of page based on pre-configured categories and corresponding Regex Rule, check this link github.com/AngelPone/roam… thanks for the help from David Vargas A small demo:

Very nice plug-in for Roam Research by my very organized postgraduate student Bohan Zhang.

Well deserved indeed! Many congratulations Rob J Hyndman @[email protected]

feel so honoured 🤗🤗🤗

Our 50+-year review of #forecast combinations is now out. Yanfei Kang Feng Li Xiaoqian Wang robjhyndman.com/publications/c…

Our paper on distributed ARIMA modeling with Yanfei Kang Rob J Hyndman @[email protected] and Feng Li is now online in the International Journal of Forecasting. It uses a straightforward implementation of splitting across samples to facilitate distributed forecasting. sciencedirect.com/science/articl…

Do you want to learn more about forecast combinations? Read this outstanding new review paper by Xiaoqian Wang Rob J Hyndman @[email protected] Feng Li Yanfei Kang published at the International Journal of Forecasting. doi.org/10.1016/j.ijfo…

In the new paper with Shengjie Wang, Fotios Petropoulos and Feng Li, we construct probabilistic forecasting combinations for intermittent demand considering both forecasting accuracy and inventory control utility. Preprint available: arxiv.org/abs/2304.03092.

In the new paper with Bohan Zhang, Anastasios Panagiotelis and Feng Li, we define and develop a formal discrete forecast reconciliation framework. Well done Bohan Zhang. Preprint available: arxiv.org/abs/2305.18809.

Our GRATIS paper reached its 100th citation🎉🎉🎉We could train forecasting models purely using synthetic time times. Now it seems natural for generative models, but in 2018 we had a really hard time being accepted by mainstream statistical journals😂😂😂Rob J Hyndman @[email protected] Yanfei Kang

A Chinese translation of FPP 3/e is now available online at otexts.com/fpp3cn/ A print edition will be available soon. #Rstats #forecasting Thanks to Yanfei Kang and Feng Li for leading the translation team.