Three Things You Should Know about Quantile Regression

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  • Опубликовано: 30 июл 2024
  • Bob Rodriguez discusses three things you should know about quantile regression
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Комментарии • 32

  • @aanarief6896
    @aanarief6896 Год назад +2

    thank you

  • @alex_8704
    @alex_8704 6 лет назад +2

    Thank you for this introduction

  • @hippodino4965
    @hippodino4965 3 года назад +1

    Thank you. I hope someday I can afford sas.
    This is the best introduction of quantile regression versus the length of the video.

    • @SASSoftware
      @SASSoftware  3 года назад

      Thank you for the feedback! We do have individual learning options available with SAS OnDemand for Academics 2.sas.com/6055yK9TH

  • @ravivijayk1840
    @ravivijayk1840 6 лет назад

    @Bob Rodriguez, thank you for running us through
    questions I have here, which I contemplate at times - 1)can coefficients drawn from OLS or Qunatile reg be interpreted in same way? 2) Multi-collinearity has to be taken care through VIF while using quantilereg?

    • @SASSoftware
      @SASSoftware  6 лет назад

      We're looking into this for you!

    • @philgibbs6093
      @philgibbs6093 6 лет назад +1

      Vijay, this would be an excellent question for either the SAS software communities page on statistical procedures (communities.sas.com/t5/SAS-Statistical-Procedures/bd-p/statistical_procedures ) or for SAS technical support at support.sas.com/en/technical-support/contact-sas.html .

  • @empiricistsacademy7181
    @empiricistsacademy7181 6 лет назад

    Very nice video, I would of liked it better if you discussed interpreting the coefficient estimates as that is a bit tricky for quantile regression.

    • @SASSoftware
      @SASSoftware  6 лет назад

      Thanks for sharing! We've provided feedback to the author.

  • @durgasthan12
    @durgasthan12 3 года назад

    Hello, in OLS, we also have heteroscedasticity one of the assumptions to fit in and to correct this problem, we use many techniques like transformation, weightage least-square, etc. in that given case, how quantile regression is different form OLS with corrected heteroscedasticity

    • @SASSoftware
      @SASSoftware  3 года назад

      Ajit, we are working on an answer for you!

    • @SASSoftware
      @SASSoftware  3 года назад

      The best solution to your earlier question is to send your question to Tech Support with a test program and some test data to illustrate your question. Or, you could post in the Statistical Procedures forum, here: 2.sas.com/6051GqwYS. Hope that helps!

  • @tyseeral-basheir3640
    @tyseeral-basheir3640 3 года назад

    Please talke about vector quartile regression

    • @SASSoftware
      @SASSoftware  3 года назад

      Tyseer, thank you for your feedback! Here are some resources on this topic that might help 2.sas.com/6055yn7nU and 2.sas.com/6056yn7nq

  • @koyapravallika2968
    @koyapravallika2968 4 года назад

    How can asses the obesity causing factors (food intake, physical activity) by using quantile regression

    • @SASSoftware
      @SASSoftware  4 года назад

      We're looking into this for you, Koya! Stay tuned...

    • @SASSoftware
      @SASSoftware  4 года назад

      The author of this video uses PROC QUANTREG for quantile regression. For a longer paper on quantile regression by the same author, please refer to this paper: 2.sas.com/60591VPdS .
      We also have a class on Robust Regression that might be useful to you: 2.sas.com/60511VPdt -- the class covers PROC ROBUSTREG and PROC QUANTREG.

  • @unexpected-moments-00
    @unexpected-moments-00 3 года назад

    Could please tell me how to implement quantile regression in Matlab?

    • @SASSoftware
      @SASSoftware  3 года назад

      Shubhajit, thank you for your inquiry! You have reached our SAS Software RUclips channel! We do post some tutorials and other information related to SAS Software and would recommend on other products not affiliated with our company, that you refer to their product/company pages.

  • @agentanakin9889
    @agentanakin9889 5 лет назад

    Good content, but I would expect better audio quality from a company as big as SAS.

    • @SASSoftware
      @SASSoftware  5 лет назад +1

      Hi there! We're glad you enjoyed the content! We'll share your feedback with the team.

    • @SASSoftware
      @SASSoftware  5 лет назад

      We've shared this with the team, the audio appears to be functioning. Are you still having trouble?

    • @agentanakin9889
      @agentanakin9889 5 лет назад

      @@SASSoftware, functional doesn't necessarily mean good. Listen to it.

    • @SASSoftware
      @SASSoftware  5 лет назад

      Please tell us more about the audio quality issues you are referring to. We can share this with our video team: sas_cares@sas.com. Thank you!

    • @agentanakin9889
      @agentanakin9889 5 лет назад

      @@SASSoftware, you can hear the speaker's breathing and other mouth noises. That can all be edited out.

  • @lmagz84
    @lmagz84 2 года назад

    Can you show us how to calculate co VaR using quantile regression

    • @SASSoftware
      @SASSoftware  2 года назад

      Feryal, thank you for your inquiry! We are checking on this for you!

    • @SASSoftware
      @SASSoftware  2 года назад

      Unfortunately, we can't post code, or formulas or answer Technical Support questions in this RUclips feedback area. This type of question is best handled by researching in the PROC QUANTREG documentation, working with SAS Tech Support, or, for questions about your own code and data, you can also post your question and a sample of your data in the Community Forums. To open a track with Tech Support, fill out the form at this link: 2.sas.com/6050yFSDp . To post a programming question in the SAS Forums, visit this Forum and post here in the Statistical Procedures forum: 2.sas.com/6051yFSDV. Here's the PROC QUANTREG documentation site: 2.sas.com/6052yFSDn .

  • @FarooqiA1
    @FarooqiA1 4 года назад

    How did you estimate the Standard Error?

    • @SASSoftware
      @SASSoftware  4 года назад

      Hi Ahmad! We're looking into this for you, and will get back to you shortly!

    • @SASSoftware
      @SASSoftware  4 года назад

      We checked on this, and the standard error is the square root of the sparsity-function estimates of the covariance function matrix.
      2.sas.com/605016BIG