Statements (68)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:analysis
|
| gptkbp:applies_to |
gptkb:Statistician
|
| gptkbp:can_be_used_for |
parameter estimation
|
| gptkbp:can_converge_to |
stationary distribution
|
| gptkbp:can_create |
samples from complex distributions
|
| gptkbp:can_estimate |
posterior distributions
|
| gptkbp:developed_by |
gptkb:Andrey_Markov
|
| https://www.w3.org/2000/01/rdf-schema#label |
Markov's chain Monte Carlo
|
| gptkbp:is_applied_in |
statistical physics
|
| gptkbp:is_based_on |
transition probabilities
|
| gptkbp:is_evaluated_by |
Gelman-Rubin diagnostic
effective sample size trace plots autocorrelation |
| gptkbp:is_implemented_in |
various programming languages
|
| gptkbp:is_popular_in |
data science
|
| gptkbp:is_related_to |
Metropolis-Hastings algorithm
Monte Carlo methods Gibbs sampling |
| gptkbp:is_used_for |
image analysis
|
| gptkbp:is_used_in |
gptkb:sports_team
gptkb:Artificial_Intelligence gptkb:Quantum_Mechanics gptkb:Graphics_Processing_Unit gptkb:Genetics gptkb:urban_planning gptkb:machine_learning gptkb:robotics gptkb:sociology gptkb:supply_chain_management gptkb:psychology economics wildlife management decision making environmental science finance project management public health data visualization disaster management financial modeling operations research quality control resource allocation risk assessment time series analysis bioinformatics pharmacology signal processing social sciences neuroscience climate modeling political science network analysis marketing research epidemiology text mining transportation modeling image reconstruction energy systems modeling agricultural modeling system biology |
| gptkbp:requires |
burn-in period
|
| gptkbp:runs_through |
for efficiency
|
| gptkbp:used_for |
sampling from probability distributions
|
| gptkbp:utilizes |
Markov chains
|
| gptkbp:bfsParent |
gptkb:Andrei_Markov
|
| gptkbp:bfsLayer |
5
|