[CODATA-international] Fwd: [CODATA - Data Science Training] CIRS/SWB Webinar on Introduction to Time Series Analysis Via Dynamic Linear Models

[Simon Hodson, ED CODATA]

Please see below, the message, about a forthcoming American Statistical Association (ASA) and Committee on International Relations in Statistics CIRS/SWB Webinar, and forwarded by Felix Anyiam, one of the leads of the CODATA Connect Early Career Group: this may be of interest to a wider audience.

With very best wishes,

Simon.
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> Begin forwarded message:
> 
> From: Felix Emeka Anyiam <felixemekaanyiam at gmail.com>
> Subject: [CODATA - Data Science Training] CIRS/SWB Webinar on Introduction to Time Series Analysis Via Dynamic Linear Models
> Date: 4 December 2023 at 19:33:44 CET
> To: CODATA Training and Careers List <data_science_training at lists.codata.org>
> 
> Dear Colleagues, 
>  
> 
> The next American Statistical Association (ASA) and Committee on International Relations in Statistics CIRS/SWB Webinar is coming up next week!   Please see the description below and the attached flyer. As usual, we would much appreciate it if you would help us inform others who might be interested, and we would like to invite you to join us!  Please feel free to forward this email to anyone you know who might be interested.  
> 
> 
> 
> Our webinars are free and provide introductory lectures on hot topics given by experts in the field.   Suggestions on future topics are welcome and can be sent to me or Alex Schmidt (alexandra.schmidt at mcgill.ca <mailto:alexandra.schmidt at mcgill.ca>).
> 
> 
> 
> We hope to see you there!
> 
>  
> 
> Title:  AN INTRODUCTION TO TIME SERIES ANALYSIS VIA DYNAMIC LINEAR MODELS
> 
> 
> 
> Time: DECEMBER 13, 2023, 12:00 - 1:30 P.M. ET
> 
> 
> 
> Speaker: Hedibert Lopes, Professor of Statistics and Econometrics, Insper
> 
> 
> 
> Description: This webinar will present an overview of dynamic linear models for analysis and forecasting of non-stationary time series. Topics that will be discussed include model building and methods for Bayesian filtering, smoothing and forecasting. The models and inference tools will be illustrated in the analysis of temporal datasets arising in different applied fields, including neuroscience and environmental science.
> 
> 
> 
> How to register:  https://amstat.zoom.us/webinar/register/WN_ZxOuWO3dTfmG7BunCy8hSA#/registration
> 
> 
> 
> Or visit the CIRS website’s page on webinars:
> 
> https://community.amstat.org/committeeoninternationalrelationsinstatistics/events2/webinars
> 
>  
> 
>  
> 
>  
> 
> ----------------------------------------------------------------------------------------------------------------------------
> 
> Become a friend of the Committee on International Relations in Statistics!  Register at https://form.jotform.com/zzlalo/friends-of-cirs.   Friends of the committee receive occasional emails with information that is deemed of interest to statisticians and students from around the world, including webinars, conference funding opportunities, networking events, job announcements, etc.   We also send occasional news about the committee’s activities and opportunities to volunteer.  All are welcome!
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> 
>  
> 
>  
> 
> Carolina Franco,
> 
> Chair, Committee on International Relations in Statistics <https://community.amstat.org/committeeoninternationalrelationsinstatistics/home>
>  <https://community.amstat.org/committeeoninternationalrelationsinstatistics/home>
>  
> 
> 
> 
> -- 
> 
>  <https://www.linkedin.com/in/felix-emeka-anyiam-mph-mscph-datasc-phd-in-view-283b307>	
> 
> Felix Emeka Anyiam (MPH,MScPH,DataSc.)
> Research & Data Scientist
> Centre for Health & Development | University of Port Harcourt, Nigeria (https://www.uniport.edu.ng/)
> Ph.D Fellow, Durban University of Technology, Durban, South Africa: https://www.dut.ac.za/
> Member, the PLOS ONE Editorial Board: https://journals.plos.org/plosone/static/editorial-board
> Member, the Telehealth and Medicine Today Editorial Board
> Member, Statistics Without Borders/American Statistical Association: https://www.statisticswithoutborders.org/
> Member, RDA COVID-19 Working Group: https://www.rd-alliance.org/node/68704/members
> Certified in: Digital and Computational Demography (Max Planck IDR, Germany), Global Health (Barcelona Institute of Public Health), Scholarly Communications (FORCE11, USA), Grant Writing (Gothenburg, Sweden), Advanced Bio-statistical Methods (Brown University, USA; Moi Kenya), STI/HIV Research (Washington, USA), Data Science (Trieste, Italy)
> Expert grant reviewer/evaluator: Association of Commonwealth Universities (ACU), Research Data Alliance (RDA)
> 
> +2348064995462 <tel:+2348064995462>
> 	felix.anyiam at uniport.edu.ng <mailto:felix.anyiam at uniport.edu.ng>
> 	http://orcid.org/0000-0003-2774-7406
> 
> Initial Lead, CODATA Connect [https://codata.org/initiatives/data-skills/codata-connect/members/], AuthorAID Stewards Team [https://www.authoraid.info/en/about/authoraid-team/]
> 
> "To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of." -Ronald A. Fisher
> 
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