Achim Zeileis @[email protected]@AchimZeileis
New in @jstatsoft: #Bayesian adaptive spline surfaces with #rstats pkg "BASS". #functionaldata #MCMC
By Devin Francom, Bruno Sansó
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Posts with #FunctionalData
#FunctionalData
Public posts on X that use #FunctionalData.
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Holger Cevallos-Valdiviezo@HolgerCevallosVNos vemos mañana en el seminario de la @FCNM_Espol. ¡Todos cordialmente invitados! #FunctionalData #PCA #Outliers #stats #statistics #statsESPOLFacultad de Ciencias Naturales y Matemáticas @FCNM_EspolInvitamos a la comunidad politécnica al webinar "Least trimmed squares estimators for funtional principal component analysis" a ser dictado, el día de mañana por nuestro investigador @HolgerCevallosV. ¡Los esperamos! ＠ESPOL0315
Facultad de Ciencias Naturales y Matemáticas@FCNM_EspolInvitamos a la comunidad politécnica al webinar "Least trimmed squares estimators for funtional principal component analysis" a ser dictado, el día de mañana por nuestro investigador @HolgerCevallosV. ¡Los esperamos! ＠ESPOL
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Fabio Centofanti@fabio_centofant📚 New paper "funcharts: control charts for multivariate functional data in R" Available in the Journal of Quality Technology! Chek it out #Statistics #DataScience #functionaldata00264
BigDataCogn.Comput.@BDCC_MDPI💐New Research by Dr. Matthieu Saumard @matt_speech_IA: "Enhancing Speech Emotions Recognition Using Multivariate Functional Data Analysis" #speechemotionrecognition #functionaldata #MFCC #data Access for Free:
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JMP Software@JMP_softwareFunctional Data Explorer has exciting new capabilities. We'll show you how to process and model your functional, signal and series #data using #JMP Pro 15. Join us Thurs., Oct. 3 at 2pm ET: #functionaldata #functionalDOE
003- Achim Zeileis @[email protected]@AchimZeileisNew in @jstatsoft: #Boosting #functionaldata regression models with #rstats pkg "FDboost". By Sarah Brockhaus, David Rügamer, Sonja Greven
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JMP Europe@JMP_Europe#FunctionalData is everywhere – sensors, transactions, chemical spectra – but how to analyze it? Peter Hersh explains in this video & write-up #JMPDiscoverySummit
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Dolores Romero Morales @doloresromerom.bsky.social@DoloresRomeroMOur @needs_project @imus_us PhD student, Cristina Molero del Río, has talked at @euro2021Athens about #optimaltrees for #functionaldata! #riseneeds @crismolerorio @MSCActions @REA_research @emiliocarrizosa
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I've seen #FunctionalData papers they talk about "random functions" sampled from a "process" but without precise definitions for these objects. Anyone familiar with the literature can clarify the meaning or point to references giving precise definitions?
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JMP Public@JMP_PublicFilter by factors and explore the residuals of functional models: This post complements @bennebfrancis's talk on functional data analysis at Discovery Summit last week #JMP #analytics #functionaldata
003- Dolores Romero Morales @doloresromerom.bsky.social@DoloresRomeroMCheck in @ResearchGate our new preprint on #optimaltrees and #functionaldata with @needs_project PhD student @crismolerorio from @imus_us, @RafaelBlanquero and @emiliocarrizosa Happy 🔍🔍🔍! #ormsCristina Molero del Río @crismolerorio📌 Check out our new preprint! 📄 On optimal regression trees to detect critical intervals for multivariate functional data 👥 @RafaelBlanquero @emiliocarrizosa @DoloresRomeroM 🔗 @imus_us @unisevilla @CBS_ECON @needs_project #riseneeds #ORMS016
Cristina Molero del Río@crismolerorio📌 Check out our new preprint! 📄 On optimal regression trees to detect critical intervals for multivariate functional data 👥 @RafaelBlanquero @emiliocarrizosa @DoloresRomeroM 🔗 @imus_us @unisevilla @CBS_ECON @needs_project #riseneeds #ORMS039- Cristina Molero del Río@crismolerorioHappy to be attending #INFORMS2022. I’ll be presenting my work on #optimaltrees and #functionaldata today! Join us if interested! @needs_project @unisevilla @imus_us
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Dominik Liebl@domlieblHey #statstwitter ➡️ Here's an interesting webinar on: "Recent Advances in Functional Data Analysis" Organized by @YoungStatS2 Further Information (incl Zoom-Link) here: 1/n168- Dominik Liebl@domliebl@domlieblPapers: Alessia Caponera: "Asymptotics for spherical functional autoregressions" doi: 10.1214/20-AOS1959 Fabio Centofanti:"Functional regression control chart" doi: 10.1080/00401706.2020.1753581 Alexander Volkmann:"Multivariate Functional Additive Mixed Models" arXiv:2103.06606111
- Dominik Liebl@domliebl@domlieblIn case you haven't (yet) heard about "Functional Data Analysis" (FDA) #functionaldata ... ... here's a link to an introductory crash course I once taught ✌️: 3/n114
Data-Centric Engineering@DCE_Journal🚨 An end-to-end data-driven optimization framework for constrained trajectories Dewez, @BGuedj, @ATalpaert & Vandewalle ✈️ #ConstrainedOptimization #FunctionalData #StatisticalModeling #Trajectories #Aeronautics #Optimization #FlightData #FuelEfficiency
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Looking forward to meeting you at the 31st Annual Meeting of @NECTAR_EU & 16th INTR (8-10 Nov)! Sercan @DenizPhd will be there to talk about how our BioCAM DupleX and HyperCAM Alpha help access high-quality #functionaldata from #stemcell derived #neurons and other #invitro models
002- Dominik Liebl@domlieblIn principle, I like this message of @johnharry76: "Smoothing your curve data, can harm your subsequent analysis." Very true! But, there are some issues. Here's constructive feedback. Let's go. 1/nJohn Harry, PhD @johnharry76More from our @TTU_Biomech team's @NSCA 2020 posters: Stop🛑all the fancy low pass filter processes when studying GRF curves from the CMJ. They compromise your results! But.... if you're like me and can't not filter😬, a 50 Hz cutoff is the way to go!113
More from our @TTU_Biomech team's @NSCA 2020 posters: Stop🛑all the fancy low pass filter processes when studying GRF curves from the CMJ. They compromise your results! But.... if you're like me and can't not filter😬, a 50 Hz cutoff is the way to go!
3744- Dominik Liebl@domliebl@domlieblIn order to further reduce the bias-problem in your data, you need to take into account the varying curvature of your curve data. That is, use a varying ("local") smoothing parameter, instead of a global smoothing parameter (global=the whole domain [0,1.4]). 5/n101
- Dominik Liebl@domliebl@domlieblSorry for the lengthy writing. But I do statistical research on curve data (#functionaldata) and I have a soft spot for #sportscience. So, I could not do otherwise. ✌️ Hope this helps. 6/END102
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