Alvaro Nosedal-Sanchez joined the Mathematics Department in January 2011.
He obtained a Ph.D. in Statistics from the University of New Mexico in November 2010.
Nosedal-Sanchez recently submitted a tutorial about the use of reproducing kernel Hilbert spaces for penalized regression, and he is currently working on another paper where he proposes a new method to find spatially adaptive nonparametric regression estimates.
His research interests are: nonparametric regression, linear models, generalized linear models, and applications of statistical models.
Learn more about Alvaro Noseda-Sanchez.
