Let \displaystyle \psi : \mathbb

Setting these equal to zero and isolating terms with a and b to one side, we obtain a system of linear equations\displaystyle
1. 1 answer
2. 122 views
Let\displaystyle \psi : \mathbb {R} \times (0, \infty ) \displaystyle \to \mathbb {R}^2 \displaystyle (\mu , \sigma )
1. 5 answers
2. 182 views
Consider the general case where the two classes have different means and possibly different variances:\displaystyle
1. 1 answer
2. 117 views
Given two data points in 2 dimensions:\displaystyle \displaystyle \mathbf{x}^{(1)} \displaystyle = \displaystyle (x^{(1)},
1. 1 answer
2. 106 views
Given two data points in 2 dimensions:\displaystyle \displaystyle \mathbf{x}^{(1)} \displaystyle = \displaystyle (x^{(1)},
1. 1 answer
2. 128 views
Consider the same statistical set-up as above. Suppose we observe a data set consisting of 1000 observations as described in the
1. 1 answer
2. 184 views
Recall from the slides that the Gamma distribution can be reparameterized using the two parameters a, the shape parameter, and
1. 1 answer
2. 146 views
Let (\mathbb {R}, \{ N(\mu , \sigma ^2)\} _{\mu \in \mathbb {R}, \sigma > 0}) be the statistical model of a normal random
1. 1 answer
2. 181 views
For the two following pmfs with one parameter \theta that are written in the form\displaystyle \displaystyle f_\theta (y)
1. 1 answer
2. 123 views
The normal distribution \mathcal{N}(\theta ,1) with with mean \theta and known variance \sigma ^2=1 has pdf\displaystyle
1. 1 answer
2. 115 views