Generating Tree-Level Harvest Predictions from Forest Inventories with Random Forests

Simultaneous Prediction of Plot-Level and Tree-Level Harvest Occurrences with Correlated Random Effects

(2018) Rubén Manso et al.   FOREST SCIENCE

Designing Wood Supply Scenarios from Forest Inventories with Stratified Predictions

(2018) Philipp Kilham et al.   Forests

Predicting individual-tree growth of central European tree species as a function of site, stand, management, nutrient, and climate effects

(2017) Brigitte Rohner et al.   EUROPEAN JOURNAL OF FOREST RESEARCH

Generalized mixed effects regression trees

(2017) Ahlem Hajjem et al.   STATISTICS & PROBABILITY LETTERS

Overview of methods and tools for evaluating future woody biomass availability in European countries

(2016) Susana Barreiro et al.   ANNALS OF FOREST SCIENCE

Joining Criteria for Harmonizing European Forest Available for Wood Supply Estimates. Case Studies from National Forest Inventories

(2016) Christoph Fischer et al.   Forests

Unbiased regression trees for longitudinal and clustered data

(2015) Wei Fu et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Mapping wood production in European forests

(2015) Pieter J. Verkerk et al.   FOREST ECOLOGY AND MANAGEMENT

Fitting Linear Mixed-Effects Models Usinglme4

(2015) Douglas Bates et al.   Journal of Statistical Software

Behavioral Modelling in a Decision Support System

(2015) Francesca Rinaldi et al.   Forests

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Using a segmented logistic model to predict trees to be harvested in forest growth forecasts

(2014) Mathieu Fortin   Forest Systems

Modelling stem selection in northern hardwood stands: assessing the effects of tree vigour and spatial correlations using a copula approach

(2014) S. Delisle-Boulianne et al.   FORESTRY

Population-averaged predictions with generalized linear mixed-effects models in forestry: an estimator based on Gauss−Hermite quadrature

(2013) Mathieu Fortin   CANADIAN JOURNAL OF FOREST RESEARCH

Considering Spatial Correlations Between Binary Response Variables in Forestry: An Example Applied to Tree Harvest Modeling

(2013) Mathieu Fortin et al.   FOREST SCIENCE

Mixed-effects random forest for clustered data

(2012) Ahlem Hajjem et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Empirical harvest models and their use in regional business-as-usual scenarios of timber supply and carbon stock development

(2012) Clara Antón-Fernández et al.   SCANDINAVIAN JOURNAL OF FOREST RESEARCH

Forests in transition: a harvesting model for uneven-aged mixed species forests in Austria

(2011) C. Thurnher et al.   FORESTRY

RE-EM trees: a data mining approach for longitudinal and clustered data

(2011) Rebecca J. Sela et al.   MACHINE LEARNING

A robust coefficient of determination for regression

(2010) Olivier Renaud et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

An Introspective Comparison of Random Forest-Based Classifiers for the Analysis of Cluster-Correlated Data by Way of RF++

(2009) Yuliya V. Karpievitch et al.   PLoS One

Conditional Variable Importance for Random Forests

(2008) Carolin Strobl et al.   BMC BIOINFORMATICS