'Gaussian Processes with Errors in Variables: Theory and Computation', by Shuang Zhou, Debdeep Pati, Tianying Wang, Yun Yang, Raymond J. Carroll.

http://jmlr.org/papers/v24/21-1480.html

#bayesian #nonparametric #gaussian

'Distributed Nonparametric Regression Imputation for Missing Response Problems with Large-scale Data', by Ruoyu Wang, Miaomiao Su, Qihua Wang.

http://jmlr.org/papers/v24/21-0673.html

#imputation #nonparametric #semiparametric

'Convergence Rates of a Class of Multivariate Density Estimation Methods Based on Adaptive Partitioning', by Linxi Liu, Dangna Li, Wing Hung Wong.

http://jmlr.org/papers/v24/20-060.html

#densities #density #nonparametric

'Bayesian Data Selection', by Eli N. Weinstein, Jeffrey W. Miller.

http://jmlr.org/papers/v24/21-1067.html

#nonparametric #stein #nonparametrically

'Learning-augmented count-min sketches via Bayesian nonparametrics', by Emanuele Dolera, Stefano Favaro, Stefano Peluchetti.

http://jmlr.org/papers/v24/21-0096.html

#priors #nonparametrics #nonparametric

New tutorial paper describing the use of a simple #NonParametric #statistics method for analysing #RepeatedMeasures data with a focus on individual-level results https://pubs.asha.org/doi/10.1044/2022_JSLHR-22-00133

All data and #Rstats code needed to reproduce the analyses is available here https://osf.io/w32dk/

An #Rstats package which implements the method is available on CRAN https://CRAN.R-project.org/package=opa

The latest development version can be downloaded from githib https://github.com/timbeechey/opa

RT @GirlMeetsStats@twitter.com

Presenting a blog post on jackknife resampling techniques! At the start of my PhD, I spent a lot of time thinking about pseudo-observations... now happy to compile my learnings on my blog Statisticelle! #statistics #nonparametric #resampling #jackknife

https://statisticelle.com/resampling-the-jackknife-and-pseudo-observations/

🐦🔗: https://twitter.com/GirlMeetsStats/status/1603837304849633280

A tutorial on #nonParametric #hypothesis tests with examples in #R.

https://dataalltheway.com/posts/011-non-parametric-hypothesis-tests-r/

#rstats #statistics #datascience #education

A little while back I wrote an #rstats package for #NonParametric analysis of #RepeatedMeasures data https://CRAN.R-project.org/package=opa using #ordinal pattern analysis.

A tutorial with #rstats code is available here: https://osf.io/w32dk/

Hello everyone out there in the fediverse!

I'm currently a Academy of Finland postdoctoral fellow at Aalto University working on probabilistic #machinelearning. Most of my interests are related to probabilistic #machinelearning methods that are flexible (#nonparametric), efficient (#tractable), and exact or come with guarantees (or a subset of thereof).

In my research, I work a lot with #JuliaLang and I'm always eager to learn new things.

Curious to see where this all goes.

#introduction