Fareeza Fayyaz

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Welcome to this channel, the go-to hub for all things related to pursuing a Statistics degree at Punjab University! Whether you're currently enrolled, consid...

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Lecture 5 Comparison to the non-Bayesian Method conditional independence for event and r.v's

lecture 4 Example to find posterior distribution from scenario Bayesian Inference

Lecture 3 Types of Prior Distribution conjugate prior Non-conjugate prior

Lecture 2 prove of Bayes Theorem for Event Prove of Bayes Theorem for Densities(model)

Lecture 1 Introduction of Bayesian Inference Difference between Beysian & classical Approach

Theorem 3(Ratio Estimation)

Sampling distribution 2 Lecture 1 Ratio Estimation

Find Minimum Variance Unbiased estimator of Normal distribution with mean 0 and variance (theta)

1 Minimum Variance Unbiased estimator by Creamer Rao Inequalitypoison distribution

2 Minimum Variance Unbiased estimator by Creamer Rao Inequality Normal distribution

5 Completeness property of estimator Bernoulli distribution

4 Completeness property of estimator poison distribution

Mixed ARMA process(with example) Time series

ACF of a stationary 2nd AR process Example

Auto Regressive Process AR(1) with example general process

check stationarity of AR(p) process 3 examples 2method to check stationarity

Recursive Rule For ACF of AR(p) process

Yale walker equation and ACF of AR(p) process 3examples

Moving Average Process

purely Random process and random walk

lec2(multivariate)

Lec1(multivariate)

canonical(b)

canonical(a)

canonical(c)

theorem..

theorem

theorem continue

Efficiency theorem 1

Assignment question 2