Krahasoni metodat

	Kalkulimi Braizian i Përafërt me të Dhëna të Mangëta	Inferenca Bayesiane me të Dhëna të Mungueshme
Fusha	Statistika bajesiane	Statistika bajesiane
Familja	Bayesian methods	Bayesian methods
Viti i origjinës	2002 (ABC); 1987 (missing data theory)	1976–1987
Krijuesi	Beaumont, Zhang & Balding (ABC); Rubin (missing data framework)	Rubin, D. B. (missing-data mechanisms); Tanner & Wong (data augmentation)
Lloji	likelihood-free Bayesian inference	Bayesian probabilistic model
Burimi themelues	Beaumont, M. A., Zhang, W. & Balding, D. J. (2002). Approximate Bayesian computation in population genetics. Genetics, 162(4), 2025–2035.	Little, R. J. A. & Rubin, D. B. (2002). Statistical Analysis with Missing Data (2nd ed.). Wiley-Interscience. ISBN: 978-0471183860
Emërtime të tjera	ABC with missing data, likelihood-free inference with missing data, simulation-based inference for incomplete data, ABC-MD	Bayesian missing data analysis, Bayesian data augmentation, Bayesian imputation, missing data Bayesian model
Të lidhura	6	6
Përmbledhja	Approximate Bayesian Computation with missing data extends the likelihood-free ABC framework to settings where observations are incomplete or partially recorded. By simulating data under a posited model and accepting parameter draws whose simulated summary statistics are close to the observed ones, it bypasses the need to evaluate an intractable likelihood — even when some data values are absent.	Bayesian inference with missing data treats unobserved values as unknown parameters and integrates them out of the posterior distribution. Rather than deleting or ad hoc imputing incomplete records, the method jointly models observed and missing data under an explicit missing-data mechanism, producing fully calibrated posterior uncertainty that honestly reflects what the data cannot tell us.