[UCR_DataScience] REMINDER: Data Science talk by Prof. Weixin Yao, tomorrow Friday October 28th, 12-1pm, MRB Seminar Room

[Vassilis Tsotras]

Reminder about the Data Science Seminar by Prof. Weixin Yao, tomorrow 
Friday at noon.

Please register using the link below if you plan to attend.

V. Tsotras

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On 10/23/22 5:50 PM, tsotras at cs.ucr.edu wrote:
> The next Data Science seminar will be on Friday, October 28th, 2022,
> 12:00-1:00pm at the MRB Seminar Room (1st floor).
>
> **** Pizza and refreshments will be provided ****
>
> To keep track of the number of attendees, please *register* at:
> https://www.eventbrite.com/e/data-science-talk-tickets-448735689527
>
> The talk will be given by Prof. Weixin Yao, Department of Statistics, UCR
>
> Title:
> New Regression Model: Modal Regression
>
>
> Abstract:
>
> Built on the ideas of mean and quantile, mean regression and quantile
> regression are extensively investigated and popularly used to model the
> relationship between a dependent variable Y and covariates x. However, the
> research about the regression model built on the mode is rather limited.
> In this talk, we propose a new regression tool, named Modal Regression,
> that aims to find the most probable conditional value (mode) of a
> dependent variable Y given covariates x rather than the mean that is used
> by the traditional mean regression. The modal regression can reveal new
> interesting data structure that is possibly missed by the conditional mean
> or quantiles. In addition, modal regression is resistant to outliers and
> heavy-tailed data, and can provide shorter prediction intervals when the
> data are skewed. Furthermore, unlike traditional mean regression, the
> modal regression can be directly applied to the truncated data. Modal
> regression could be a potentially very useful regression tool that can
> complement the traditional mean and quantile regressions.
>
>
> ------------------------------------
> Sponsored by the UCR Data Science Center, the purpose of the Data Science
> Seminars is to foster collaborations between "core" Data Science faculty
> (from CSE/ECE/Stat Departments) and faculty/visitors from other sciences
> that face Data Science problems in their research. These informal
> gatherings are open to interested faculty and graduate students. Each
> meeting will start with a talk describing research problems and then a
> discussion will follow for questions, open problems, ideas for possible
> collaborations etc.
>
> A full list of previous seminars appears at:
> http://datascience.ucr.edu/seminars
>
> Please forward this email to other colleagues or graduate students in your
> lab that may be interested. Moreover, if you are interested in giving a
> Data Science related talk, please contact me.
>
> Sincerely,
> Vassilis Tsotras
> Professor, CSE Department
> Director, Data Science Major
>
>
>
>
>
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