Environmetrics : Impact Factor & More

Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas

Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression

Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data

Calibrating Satellite Maps With Field Data for Improved Predictions of Forest Biomass

A Varying Precision Beta Prime Autoregressive Moving Average Model With Application to Water Flow Data

Characterizing Asymptotic Dependence between a Satellite Precipitation Product and Station Data in the Northern <scp>US</scp> Rocky Mountains via the Tail Dependence Regression Framework With a Gibbs Posterior Inference Approach

Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas

Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression

Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data

Calibrating Satellite Maps With Field Data for Improved Predictions of Forest Biomass

A Varying Precision Beta Prime Autoregressive Moving Average Model With Application to Water Flow Data

Characterizing Asymptotic Dependence between a Satellite Precipitation Product and Station Data in the Northern <scp>US</scp> Rocky Mountains via the Tail Dependence Regression Framework With a Gibbs Posterior Inference Approach