01
Time Series and Spatial Statistics
Statistical modeling and inference for dependent data, including time series, conditional spatial regression, two-dimensional ARMA models, random fields, geostatistics, and spatio-temporal processes.
Federal University of Pernambuco · Department of Statistics
Willams Batista
Assistant Professor of Statistics · UFPE
I am a professor in the Department of Statistics at UFPE. My research covers statistical inference, models for dependent data, and statistical methods for SAR and PolSAR imagery, combining theory, simulation, and remote-sensing applications.
Areas of interest
Inference · Spatial statistics · Time series · SAR imagery
Research
All areas Research and interests
Current research and other methodological areas I plan to explore.
Reading guide
02
Statistical inference and asymptotic theory
Classical and Bayesian inference, statistical information, divergence-based estimation and hypothesis testing, and asymptotic theory.
03
Statistical Image Processing
Statistical modeling and inference for images, from SAR/PolSAR and environmental remote sensing to emerging biomedical-imaging applications.
04
Regression Models and Estimating Equations
Statistical regression for non-Gaussian and correlated outcomes: marginal GEE, mixed and Bayesian hierarchical models, and flexible distributional regression.
Projects and investigations
See all projects Projects and investigations
Research questions that guide work in progress.
Work in progress2026
Inference for spatially dependent data
Methodological research on spatial dependence, model adequacy and inferential properties.
Work in progress2026
Inference for polarimetric indices
Probability modeling and uncertainty quantification for summaries derived from polarimetric radar imagery.
Work in progress2026
Statistical diagnostics for spatial models
Study of methods for assessing model adequacy in spatially dependent observations.
Publications
View publications Scientific output
Journal articles and conference papers.
2026
2023
2021