probabilistlik
Probabilistlik is an Estonian term for anything relating to probability theory and probabilistic methods. In mathematics and statistics, probabilistlik approaches model uncertainty by assigning probabilities to events and by using random variables and stochastic processes.
Key concepts include random variables, probability distributions (discrete and continuous), expectation and variance, independence and identical
Two broad philosophical interpretations frame probabilistlik reasoning: Bayesian and frequentist. Bayesian probability treats probability as a
Common methods associated with probabilistlik modelling include Monte Carlo simulation, Markov chain Monte Carlo, and variational
Applications span science, engineering, economics, finance, risk assessment, and data science. Probabilistlik thinking supports forecasting under