[PDF][PDF] From controlled to undisciplined data: Estimating causal effects in the era of data science using a potential outcome framework
This article discusses the fundamental principles of causal inference–the area of statistics
that estimates the effect of specific occurrences, treatments, interventions, and exposures on …
that estimates the effect of specific occurrences, treatments, interventions, and exposures on …
Future habitat suitability for species under climate change–Lessons learned from the strawberry tree case study
S Gerassis, MTD Albuquerque, N Roque… - Forest Ecology and …, 2021 - Elsevier
Climate change is already a reality, and habitat loss is affecting relentlessly tree species
distributions. The strawberry tree (Arbutus unedo L., Ericaceae) is a Mediterranean …
distributions. The strawberry tree (Arbutus unedo L., Ericaceae) is a Mediterranean …
[PDF][PDF] null• Issue 3.3, Summer 2021
F Dominici, FJ Bargagli-Sto, F Mealli - assets.pubpub.org
This article discusses the fundamental principles of causal inference—the area of statistics
that estimates the effect of specific occurrences, treatments, interventions, and exposures on …
that estimates the effect of specific occurrences, treatments, interventions, and exposures on …
[PDF][PDF] Volume 0 Issue 0 DOI: 00.000
This paper discusses the fundamental principles of causal inference–the area of statistics
that estimates the effect of specific occurrences, treatments, interventions, and exposures on …
that estimates the effect of specific occurrences, treatments, interventions, and exposures on …
Graph-guided Bayesian SVM with Adaptive Structured Shrinkage Prior for High-dimensional Data
Support vector machine (SVM) is a popular classification method for the analysis of a wide
range of data including big biomedical data. Many SVM methods with feature selection have …
range of data including big biomedical data. Many SVM methods with feature selection have …