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1 vote
0 answers
22 views

Can we solve by hand the early exit multi-class classification problem? [closed]

Problem: Find a solution $\hat{\varepsilon}$ of the following minimization problem \begin{align*} &\min_{\varepsilon \in \mathbb{R}^M} \sum_{h=1}^M \varepsilon^h \hat{R}^h+\beta \sum_{h=1}^M \...
ohana's user avatar
  • 111
3 votes
1 answer
115 views

Light tailed symmetric distribution

Is there a family of distributions that resemble the normal distribution (symmetric, spanning all real numbers, and approximately bell-shaped) but have lighter tails than normal distribution? I'm ...
Daniel Dostal's user avatar
2 votes
2 answers
160 views

Find a likelihood to calculate a posterior probability

I am having trouble understanding a basic Bayesian inference exercise: Suppose we are interested in inferring the proportion $\theta$ of individuals in a given population suffering from a certain ...
DkRckr12's user avatar
  • 121
5 votes
2 answers
265 views

Is a data size in a binomial distribution random variable?

Supposing that there is a binomial distribution ${\rm Bin}(m|N, \mu)$, I think usually $N$ and $\mu$ are parameters and not random variables (or events), thus the notation here ${\rm Bin}(m|N, \mu)$ ...
Keyflux's user avatar
  • 153
2 votes
1 answer
185 views

How to find the marginal prior distribution?

Suppose that $\beta$ has the following prior $$ \beta|\zeta \sim f(\beta,\zeta) $$ Then I know that the marginal prior distribution of $\beta$ is given by $$ \int f(\beta,\zeta) d\zeta $$ However, ...
gbd's user avatar
  • 273
2 votes
1 answer
283 views

Choice of prior to restrict coefficient to negative values?

I'm slightly embarassed to be asking this question, but I couldn't locate a satisfying reference. I'm a complete novice in Bayesian regression, working through the textbook Statistical Rethinking. In ...
Anthony's user avatar
  • 540
1 vote
0 answers
81 views

The Elephant in The Room: How is Real-World Domain Knowledge Converted into Bayesian Priors?

I have been trying to look into the daunting problem within Bayesian Models: How is Real-World Domain Knowledge Converted into Bayesian Priors? Logically speaking, it seems that Bayesian Priors can be ...
stats_noob's user avatar
2 votes
1 answer
28 views

Drawing inferences from multiple modal estimates of a random variable

I'm working to elicit a probability distribution from the Survey of Private Dealers, a ~monthly survey concerning the future direction of certain financial random variables. Latest example here. There ...
MikeRand's user avatar
  • 442
36 votes
2 answers
3k views

How are Bayesian Priors Decided in Real Life?

I always had the following question: How are Bayesian Priors decided in real life? I created the following scenario to pose my question: Suppose you are researcher and you are interested in studying ...
stats_noob's user avatar
0 votes
1 answer
89 views

Conjugate Prior for Alpha Power Inverse Weibull Distribution

Let $X$ has Alpha Power Inverse Weibull (APIW) distribution with pdf $f(x) = \frac{\log \alpha}{\alpha - 1} \lambda \beta x^{-(\beta+1)} e^{-\lambda x^{-\beta}} \alpha^{e^{-\lambda x^{-\beta}}}, \; x&...
ccmatyn's user avatar
  • 41
0 votes
1 answer
130 views

Distributions with negative support in JAGS

I am creating a Bayesian regression model where I want to include a prior for a variable that can only have a negative coefficient. What distribution can I use that only has a negative support and is ...
zimia's user avatar
  • 101
3 votes
1 answer
760 views

How to choose a prior : family for a response with negative values?

I’m modeling percentage change in oxygen levels in the blood from a particular experiment. So my prior before seeing the data was an inverse gaussian distribution. But my data (response variable ) has ...
amarykya_ishtmella's user avatar
0 votes
1 answer
179 views

How to calculate the expected value of k heads in this case?

I'm having some trouble on how to tackle the following problem $X_1$ is a random variable with probability density $f(x)$ in the range $[0,1]$. A value of $X_1$ is picked, call its value $p$. A coin ...
Gabriel Ramos da Trindade's user avatar
2 votes
1 answer
193 views

Parameters of beta distribution with a given HDI [duplicate]

Is there some way to calculate the parameters of a beta distribution, if the highest density interval is known. That is, given $a,b,x$ I want to have a beta distribution such that the probability of ...
LiKao's user avatar
  • 2,671
0 votes
0 answers
104 views

Prior Predictive Distribution for hierarchical model

What I need to do is figure out the prior predictive distribution for the following mixed model: $$\begin{align*} y_{ij} & \sim \mathsf{Normal}(\alpha_j + \beta x_i, \sigma^2)\\ \alpha_j & \...
Trevor Mason's user avatar

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