Functional Gradient Boosting (FGB) with GeD Splines
Published:
Spline Regression, Generalized Additive Models, and Component-wise Gradient Boosting, utilizing Geometrically Designed (GeD) Splines. See https://cran.r-project.org/package=GeDS.
Univariate and bivariate nonparametric estimation of the probability density and cumulative distribution functions of a random variable using B-splines. See https://github.com/emilioluissaenzguillen/ddfs.
Functions to perform reproducible parallel foreach loops, using independent random streams as generated by L’Ecuyer’s combined multiple-recursive generator (L’Ecuyer (1999)). See https://cran.r-project.org/package=doRNG.

Published:

Forecasting the UK term structure using a state-space representation of the Diebold-Li model and LSTM neural networks. See https://github.com/emilioluissaenzguillen/uk-yield-curve-forecasting.

Projecting Spanish mortality risks for 2024–2100 following the INE (Instituto Nacional de Estadística) methodology. See https://github.com/emilioluissaenzguillen/spain-mortality-projection.
Stata code for matching Trucost and Dealscan databases. See https://github.com/emilioluissaenzguillen/trucost-dealscan-matching.