Yanfei Kang @YanfeiKang
Assoc Prof in School of Economics and Management, Beihang University. PhD from @MonashUni. Happy mama of two sons. My husband @f3ngli & our lab https://t.co/JOWecD8PJF. yanfei.site Beijing, China Joined April 2014-
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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 @YanfeiKang and @f3ngli for leading the translation team.
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😂😂😂@robjhyndman @YanfeiKang
In the new paper with @zhangbhangel, Anastasios Panagiotelis and @f3ngli, we define and develop a formal discrete forecast reconciliation framework. Well done @zhangbhangel. Preprint available: arxiv.org/abs/2305.18809.
In the new paper with Shengjie Wang, @fotpetr and @f3ngli, we construct probabilistic forecasting combinations for intermittent demand considering both forecasting accuracy and inventory control utility. Preprint available: arxiv.org/abs/2304.03092.
Do you want to learn more about forecast combinations? Read this outstanding new review paper by @Xia0qianWang @robjhyndman @f3ngli @YanfeiKang published at the International Journal of Forecasting. doi.org/10.1016/j.ijfo…
Our paper on distributed ARIMA modeling with @YanfeiKang @robjhyndman and @f3ngli 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…
Our 50+-year review of #forecast combinations is now out. @YanfeiKang @f3ngli @Xia0qianWang robjhyndman.com/publications/c…
feel so honoured 🤗🤗🤗
feel so honoured 🤗🤗🤗
Well deserved indeed! Many congratulations @robjhyndman
Well deserved indeed! Many congratulations @robjhyndman
Very nice plug-in for @RoamResearch by my very organized postgraduate student Bohan Zhang.
Very nice plug-in for @RoamResearch by my very organized postgraduate student Bohan Zhang.
#roamcult Hey guys, I developed a plug-in for @RoamResearch 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 @dvargas92495 A small demo:
Brilliant Forecaster.
Congrats to @XiaoqianWang7 and @XixiLi07 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 @DrHongTao @PamStroud Also very grateful to our collaborators! @robjhyndman and @fotpetr
Our preprint "Distributed ARIMA Models for Ultra-long Time Series" (with @XiaoqianWang7 @YanfeiKang @robjhyndman) is available on arXiv arxiv.org/abs/2007.09577. Code is also implemented on @ApacheSpark github.com/xqnwang/darima. Feedbacks are welcome!
Finally, I convinced @f3ngli to use bookdown for the new edition of the book Distributed Statistical Computing: github.com/feng-li/distco… #lockdown
Check out the R package M5comp for the M5 #forecasting competition by @XixiLi07 and @XiaoqianWang7 . #rstats
Check out the R package M5comp for the M5 #forecasting competition by @XixiLi07 and @XiaoqianWang7 . #rstats
4 positions Lecturer/Senior Lecturer/Associate Professor in Business Analytics, U of Sydney Business School: sydney.nga.net.au/cp/index.cfm?e…
our paper (with @YanfeiKang and @f3ngli) on feature-based time series forecasting and visualization of forecast model combinations on an instance space defined by features of time series.
our paper (with @YanfeiKang and @f3ngli) on feature-based time series forecasting and visualization of forecast model combinations on an instance space defined by features of time series.
Our new working paper (Que será será? The uncertainty estimation of feature-based time series forecasts) with @XiaoqianWang7 @YanfeiKang & @fotpetr 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…
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550 Followers 577 Following #Bitcoin, University of Nicosia, Manager Institutional & Corporate Partnerships, Institute For the FutureIIF_ECF @ecf_iif
147 Followers 163 Following The IIF home of Early Career Forecasters in all fields of forecasting! Academics and practitioners welcome.DeepAI @DeepAI
51K Followers 2K Following DeepAI is an experimental AI Product Lab. Sharing cool research at @arxiv_daily For product support email [email protected]Yael Grushka-Cockayne @grushkay
3K Followers 393 Following Senior Associate Dean of Professional Degree Programs and Professor of Business Administration at the Darden School of BusinessDilek Onkal @dilekonkal
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185 Followers 30 Following I'm a María Zambrano (Senior) Fellow in the Dept. of Computer Science and AI at University of Granada, Spain. My main research area is time series forecasting.Fırat Melih Yılmaz @fratmelhylmaz
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260 Followers 71 Following Non-Uniform Monash Business Analytics Team, love data analysis, statistical modelling, writing R packagesRuben Loaiza-Maya @RubenLoaizaMay1
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10K Followers 530 Following The official feed for the ACM SIGKDD Community and #KDD2024 ConferenceKLLAB members will attend #ICDM2023 in Shanghai! We are honoured to present two papers in the AI4TS workshop. 1. Infinite combinations based on Dirichlet process 2. Probabilistic forecast reconciliation with KL divergence regularization ai4ts.github.io/icdm2023 See you there!🙌
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 @YanfeiKang and @f3ngli for leading the translation team.
My Posit::conf 2023 Experience - A Conference of Insights, Knowledge, Connections, and Explorations thiyanga.netlify.app/post/posit/ #rstats #rladies
Identifying individuals from time-series features of resting-state fMRI researchsquare.com/article/rs-334…
Do you want to learn everything about Operational Research? Check out my latest encyclopedic article, a huge collaboration of 82 experts in #OR. arxiv.org/abs/2303.14217 This article will appear in the 75th anniversary volume of the J of the Operational Research Society #JORS
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😂😂😂@robjhyndman @YanfeiKang
Glad to share that we will present a paper at #KDD 2023, on 𝐂𝐨𝐧𝐭𝐫𝐚𝐬𝐭𝐢𝐯𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 for 𝐓𝐢𝐦𝐞 𝐒𝐞𝐫𝐢𝐞𝐬 𝐀𝐧𝐨𝐦𝐚𝐥𝐲 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧. This paper, titled "𝐃𝐂𝐝𝐞𝐭𝐞𝐜𝐭𝐨𝐫: 𝐃𝐮𝐚𝐥 𝐀𝐭𝐭𝐞𝐧𝐭𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐚𝐬𝐭𝐢𝐯𝐞…lnkd.in/gBJh5vpc
Glad to share that we have 3 𝐩𝐚𝐩𝐞𝐫𝐬 on load forecasting recently accepted by 𝐈𝐄𝐄𝐄 𝐓𝐫𝐚𝐧𝐬𝐚𝐜𝐭𝐢𝐨𝐧𝐬 𝐨𝐧 𝐒𝐦𝐚𝐫𝐭 𝐆𝐫𝐢𝐝 (𝐉𝐂𝐑 𝐐1, 𝐈𝐅: 10.275). In these papers, we apply various 𝐀𝐈 𝐟𝐨𝐫 𝐓𝐢𝐦𝐞 𝐒𝐞𝐫𝐢𝐞𝐬 techniques, inc…lnkd.in/gBj_5cQc
Glad to share that we will organize 𝐈𝐉𝐂𝐀𝐈 2023 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐨𝐧 𝐀𝐈 𝐟𝐨𝐫 𝐓𝐢𝐦𝐞 𝐒𝐞𝐫𝐢𝐞𝐬 (𝐈𝐉𝐂𝐀𝐈'23-𝐀𝐈4𝐓𝐒). We highly welcome any researcher and industrial practitioners to submit your works to our IJCAI'23-AI4TS workshop, join…lnkd.in/gh3kjX-U
Another nice piece of work by KLLABers. kllab.org
In the new paper with Shengjie Wang, @fotpetr and @f3ngli, we construct probabilistic forecasting combinations for intermittent demand considering both forecasting accuracy and inventory control utility. Preprint available: arxiv.org/abs/2304.03092.
Our (@thiyangt and @pridiltal ) students are the winners of the Best BSc (Hons) thesis awards competitions held by two renowned organizations in Sri Lanka - the Institute of Applied Statistics, Sri Lanka (IASSL) and the Sri Lanka Association for the Advancement of Science (SLAAS)
Winning research projects were based on the topics of machine learning interpretability and explainable AI. IASSL is the only professional organization that is dedicated to promoting and advancing the field of Statistics, while SLAAS is the premier scientific body in the country
New preprint is out with @AnnieGBryant and @bendfulcher! In this work we show that a linear classifier of just mean and variance performs surprisingly well on a database of time series classification problems arxiv.org/abs/2303.17809 #timeseries #machinelearning #statistics 🤓 1/6
Our talented Monash educators have been recognised at the Australian Awards for University Teaching. Congratulations to all our winners! Prof G Athanasopoulos, Prof @robjhyndman, A/Prof @CLandersdorfer, A/Prof @JoeNicolazzo, Dr Y Samak, Dr DShackleford, Prof P White 👏
@gathana1
Our talented Monash educators have been recognised at the Australian Awards for University Teaching. Congratulations to all our winners! Prof G Athanasopoulos, Prof @robjhyndman, A/Prof @CLandersdorfer, A/Prof @JoeNicolazzo, Dr Y Samak, Dr DShackleford, Prof P White 👏
Our "Forecasting: theory and practice" paper is the most downloaded (last 90 days), second-most popular (last 3 years), and fifth-most cited (last 3 years) #IJF paper, despite being accepted less than 16 months ago. doi.org/10.1016/j.ijfo… @BathSofM @M_O_F_C
Glad that we got two 2023 [𝐀𝐀𝐀𝐈/𝐈𝐀𝐀𝐈 𝐃𝐞𝐩𝐥𝐨𝐲𝐞𝐝 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐀𝐰𝐚𝐫𝐝], for our eForecaster (Energy Forecasting System) and AHPA (Autoscaling System) at 𝐀𝐀𝐀𝐈 2023. More details about our papers and forthcoming talks at 𝐀𝐀?…lnkd.in/gTCDg73E
I am humbled and honoured to announce that, along with my post as Professor of Management Science at the @UniofBath @BathSofM, I have now joined University of Nicosia @M_O_F_C as the Spyros Makridakis Chair in Forecasting.
I started #myhackthon from this Mon to Wed. So far I have - deployed Spark on a Slurm cluster, - learned to fine-tune Spark with hacks, - coded for time series models, - reviewed 4 conference papers, - and got one paper accepted in IJPR. Now I am feeling like a real researcher!
I do not submit my manuscripts to journals in the weekends because I do not want editors to sneer me working in the weekends. Instead I submit then on Friday so the editors could look into them and find reviewers in the weekends.