research
∙
04/10/2023
Testing for linearity in scalar-on-function regression with responses missing at random
We construct a goodness-of-fit test for the Functional Linear Model with...
share
research
∙
08/17/2022
A Comparative Review of Specification Tests for Diffusion Models
Diffusion models play an essential role in modeling continuous-time stoc...
research
∙
08/17/2022
Estimation and Specification Test for Diffusion Models with Stochastic Volatility
Given the importance of continuous-time stochastic volatility models to ...
research
∙
08/01/2022
Novel specification tests for additive concurrent model formulation based on martingale difference divergence
Novel significance tests are proposed for the quite general additive con...
research
∙
02/24/2022
Functional Classification of Bitcoin Addresses
This paper proposes a classification model for predicting the main activ...
research
∙
01/17/2022
Estimators for covariate-adjusted ROC curves with missing biomarkers values
In this paper, we present three estimators of the ROC curve when missing...
research
∙
05/27/2021
A review of goodness-of-fit tests for models involving functional data
A sizable amount of goodness-of-fit tests involving functional data have...
research
∙
02/08/2021
A test for comparing conditional ROC curves with multidimensional covariates
The comparison of Receiver Operating Characteristic (ROC) curves is freq...
research
∙
12/21/2020
A critical review of LASSO and its derivatives for variable selection under dependence among covariates
We study the limitations of the well known LASSO regression as a variabl...
research
∙
12/09/2020
Searching for genetic interactions in complex disease by using distance correlation
Understanding epistasis (genetic interaction) may shed some light on the...
research
∙
09/29/2020
Nonparametric independence tests in metric spaces: What is known and what is not
Distance correlation is a recent extension of Pearson's correlation, tha...
research
∙
08/22/2020
Goodness-of-fit tests for functional linear models based on integrated projections
Functional linear models are one of the most fundamental tools to assess...
research
∙
06/30/2020
A robust approach for ROC curves with covariates
The Receiver Operating Characteristic (ROC) curve is a useful tool that ...
research
∙
05/07/2020
Robust location estimators in regression models with covariates and responses missing at random
This paper deals with robust marginal estimation under a general regress...
research
∙
09/17/2019
A goodness-of-fit test for the functional linear model with functional response
The Functional Linear Model with Functional Response (FLMFR) is one of t...
research
∙
04/01/2018
Smoothing-based tests with directional random variables
Testing procedures for assessing specific parametric model forms, or for...
research
∙
01/02/2018
