# Bayesian inference: Introduction

On the notations Consider the following function defined as: The set is the domain of the function and is the argument of it. The set is the parameter space and […]

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Probability and Statistics

# Bayesian inference: Introduction

On the notations Consider the following function defined as: The set is the domain of the function and is the argument of it. The set is the parameter space and […]

# Probability and Stats Cheat Sheet (1)

# Miscellaneous Proofs and Theorems in Probability and Statistics (1)

contains nothing; even nothing itself

0- Conventions 1- r-Vectors in matrix operations are considered as column vectors (matrices): 2- Column vector inner/dot product: 1- Population expected value and covariance matrix 1- a random r-vector : […]

1- A minimization problem regarding PCA: Given that , , and and are both of full rank t, prove that the minimizing parameters, of are: where are the first eigenvectors […]