activity
20152024
most citedAutocovariance estimation in regression with a discontinuous signal and -dependent errors: A difference-based approach

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ME2024

Phenology curve estimation via a mixed model representation of functional principal components: Characterizing time series of satellite-derived vegetation indices

Inder Tecuapetla-Gómez, Francisco Rosales-Marticorena, Berenice Fanny Galicia-Gómez

Vegetation phenology consists of studying synchronous stationary events, such as the vegetation green up and leaves senescence, that can be construed as adaptive responses to clima…

stat.AP2021

Modeling satellite-based open water fraction via flexible Beta regression: An application to wetlands in the north-western Pacific coast of Mexico

Inder Tecuapetla-Gómez, Julia Trinidad Reyes

Carbon sequestration and water filtering are two examples of the several ecosystem services provided by wetlands. Open water mapping is an effective means to measure any wetland ex…

stat.AP2019

On the potential of BFAST for monitoring burned areas using multi-temporal Landsat-7 images

Inder Tecuapetla-Gómez, Gabriela Villamil-Cortez, María Isabel Cruz-López

In this paper, we propose a semi-automatic approach to map burned areas and assess burn severity that does not require prior knowledge of the fire date. First, we apply BFAST to ND…

stat.AP2019

Time delay estimation in satellite imagery time series of precipitation and NDVI: Pearson's cross correlation revisited

Inder Tecuapetla-Gómez

In order to describe more accurately the time relationships between daily satellite imagery time series of precipitation and NDVI we propose an estimator which takes into account t…

stat.ME2015★ 3 cited

Autocovariance estimation in regression with a discontinuous signal and -dependent errors: A difference-based approach

Inder Tecuapetla-Gómez, Axel Munk

We discuss a class of difference-based estimators for the autocovariance in nonparametric regression when the signal is discontinuous (change-point regression), possibly highly flu…