পদ্ধতির তুলনা করুন

	বেইসিয়ান পর্যবেক্ষণমূলক পরিমাণগত গবেষণা	বেয়েশীয় অনুমান (Bayesian Inference)
ক্ষেত্র	গবেষণা নকশা	পরিসংখ্যান
পরিবার	Process / pipeline	Bayesian methods
উদ্ভবের বছর	1990s–2000s (systematic application to observational research)	1763
প্রবর্তক	Thomas Bayes (foundational theorem, 1763); modern applied form developed by Sander Greenland, Andrew Gelman, and colleagues (1990s–2000s)	Thomas Bayes; Pierre-Simon Laplace
ধরন	Quantitative non-experimental research design with Bayesian inference	Probabilistic inference paradigm
মৌলিক উৎস	Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955	Bayes, T. (1763). An essay towards solving a problem in the doctrine of chances. Philosophical Transactions of the Royal Society of London, 53, 370–418.
অপর নাম	Bayesian observational study, Bayesian non-experimental quantitative design, Bayesian causal observational analysis, BOQR	Bayes inference, Bayesian statistics, Bayesian updating, posterior inference
সম্পর্কিত	4	3
সারসংক্ষেপ	Bayesian observational quantitative research applies Bayesian statistical inference to data collected without experimental manipulation — surveys, administrative records, registries, or secondary datasets. Instead of relying solely on p-values and confidence intervals, the analyst encodes prior knowledge about parameters as probability distributions, updates them with observed data via Bayes' theorem, and reports conclusions as posterior probability statements. The approach is especially valued in epidemiology, social science, and health services research where randomisation is impossible or unethical.	Bayesian inference is a statistical paradigm in which probability represents degrees of belief rather than long-run frequencies. It encodes prior knowledge about parameters in a prior distribution, combines that prior with the likelihood of observed data via Bayes' theorem, and produces a posterior distribution that quantifies updated uncertainty. The foundational theorem was published posthumously by Thomas Bayes in 1763 and subsequently systematized by Pierre-Simon Laplace in his 1812 Théorie analytique des probabilités.