Statements (72)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:philosopher
|
| gptkbp:advocates_for |
data-driven decision making
updating beliefs |
| gptkbp:analyzes |
market trends
clinical trials data sets genomic data |
| gptkbp:apply |
Bayesian methods
statistical inference |
| gptkbp:are_interested_in |
causal inference
|
| gptkbp:are_known_for |
modeling complex systems
flexible modeling handling missing data flexible assumptions robustness to overfitting |
| gptkbp:are_part_of |
gptkb:scientific_community
quantitative research interdisciplinary teams |
| gptkbp:belief |
Bayesian probability
|
| gptkbp:can_be_found_in |
gptkb:academic_research
|
| gptkbp:collaborates_with |
statisticians
|
| gptkbp:contribution |
gptkb:Artificial_Intelligence
gptkb:machine_learning environmental modeling |
| gptkbp:development |
predictive models
Bayesian algorithms Bayesian classifiers Bayesian simulations |
| gptkbp:employs |
Bayesian inference
|
| gptkbp:engages_in |
data visualization
time series analysis collaborative research hypothesis testing sensitivity analysis posterior analysis |
| https://www.w3.org/2000/01/rdf-schema#label |
Bayesians
|
| gptkbp:influence |
decision theory
|
| gptkbp:is_associated_with |
subjective probability
|
| gptkbp:is_debated_in |
gptkb:philosophy_of_science
|
| gptkbp:is_explored_in |
parameter estimation
|
| gptkbp:is_involved_in |
financial modeling
risk assessment data science policy analysis epidemiology social science research |
| gptkbp:is_often_used_in |
gptkb:Markov_Chain_Monte_Carlo
Bayesian optimization |
| gptkbp:is_studied_in |
gptkb:Statistician
gptkb:economic_analysis uncertainty machine learning algorithms network analysis spatial statistics |
| gptkbp:notable_collaborators |
big data
real-time data |
| gptkbp:often_contrast_with |
frequentists
|
| gptkbp:promotes |
evidence-based practice
Bayesian networks transparency in modeling |
| gptkbp:uses |
Bayes' theorem
|
| gptkbp:utilizes |
Bayesian updating
decision trees Bayesian hierarchical models prior distributions Bayesian regression |
| gptkbp:values |
model interpretability
evidence collaborative filtering prior knowledge |
| gptkbp:bfsParent |
gptkb:Bayesian_neural_networks
|
| gptkbp:bfsLayer |
6
|