Modify from this question, if my beta distribution has the following prior:
$$f_{\Theta }(\theta )= a\theta (1-\theta )^2,\textrm{for}\ \theta\in [0,1],$$
and knowing that:
$$\int\limits_0^1\theta^\alpha (1-\theta )^{\beta }\, d\theta =\frac{\alpha !\, \beta !}{(\alpha +\beta +1)!}$$
How do I back-calculate the values of $\alpha$ and $\beta$ ? Thanks.