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This is perhaps a well-known result and I'd appreciate a reference if that's the case. Let $X$, $Y$ be iid random variables with support $S \subset \mathbb{Z}$ and let

$$P(X = x) = f(x, \theta)$$

where $\theta$ represents a vector of a countable number of parameters.

The question is twofold. Firstly, does there exist non-trivial distributions such that

$$P(X + Y = x) = f(x, \theta_1(\theta)), \;\;\; P(XY = x) = f(x, \theta_2(\theta)) ?$$

for some $\theta_1$, $\theta_2$. By trivial here, I mean any case that, for each $x \in S$, there is a corresponding parameter $\theta_x$ (and thus non-trivial means there isn't a correspondence between elements of the support set and parameters).

Secondly, within this class of distributions, does there exist distributions with a finite number of parameters?

This is perhaps a well-known result and I'd appreciate a reference if that's the case. Let $X$, $Y$ be iid random variables with support $S \subset \mathbb{Z}$ and let

$$P(X = x) = f(x, \theta)$$

where $\theta$ represents a vector of a countable number of parameters.

The question is twofold. Firstly, does there exist non-trivial distributions such that

$$P(X + Y = x) = f(x, \theta_1(\theta)), \;\;\; P(XY = x) = f(x, \theta_2(\theta))$$

for some $\theta_1$, $\theta_2$? By trivial here, I mean any case that, for each $x \in S$, there is a corresponding parameter $\theta_x$ (and thus non-trivial means there isn't a correspondence between elements of the support set and parameters).

Secondly, within this class of distributions, does there exist distributions with a finite number of parameters?

This is perhaps a well-known result and I'd appreciate a reference if that's the case. Let $X$, $Y$ be iid random variables with support $S \subset \mathbb{Z}$ and let

$$P(X = x) = f(x, \theta)$$

where $\theta$ represents a vector of a countable number of parameters.

The question is twofold. Firstly, does there exist non-trivial distributions such that

$$P(X + Y = x) = f(x, \theta_1(\theta)), \;\;\; P(XY = x) = f(x, \theta_2(\theta)) ?$$

for some $\theta_1$, $\theta_2$. By non-trivial here, I mean any case that $f(x, \theta) = \theta_x$, i.e., for each $x \in S$ there is a corresponding parameter $\theta_x$.

Secondly, within this class of distributions, does there exist distributions with a finite number of parameters?

This is perhaps a well-known result and I'd appreciate a reference if that's the case. Let $X$, $Y$ be iid random variables with support $S \subset \mathbb{Z}$ and let

$$P(X = x) = f(x, \theta)$$

where $\theta$ represents a vector of a countable number of parameters.

The question is twofold. Firstly, does there exist non-trivial distributions such that

$$P(X + Y = x) = f(x, \theta_1(\theta)), \;\;\; P(XY = x) = f(x, \theta_2(\theta)) ?$$

for some $\theta_1$, $\theta_2$. By trivial here, I mean any case that, for each $x \in S$, there is a corresponding parameter $\theta_x$ (and thus non-trivial means there isn't a correspondence between elements of the support set and parameters).

Secondly, within this class of distributions, does there exist distributions with a finite number of parameters?

This is perhaps a well-known result and I'd appreciate a reference if that's the case. Let $X$, $Y$ be iid random variables with support $S \subset \mathbb{Z}$ and let

$$P(X = x) = f(x, \theta)$$

where $\theta$ represents a vector of a countable number of parameters.

The question is twofold. Firstly, does there exist non-trivial distributions such that

$$P(X + Y = x) = f(x, \theta_1(\theta)), \;\;\; P(XY = x) = f(x, \theta_2(\theta)) ?$$

for some $\theta_1$, $\theta_2$. By trivial here, I mean the case that $f(x, \theta) = \theta_x$, i.e., there is a bijection between $S$ and the set of parameters.

Secondly, within this class of distributions, does there exist distributions with a finite number of parameters?

This is perhaps a well-known result and I'd appreciate a reference if that's the case. Let $X$, $Y$ be iid random variables with support $S \subset \mathbb{Z}$ and let

$$P(X = x) = f(x, \theta)$$

where $\theta$ represents a vector of a countable number of parameters.

The question is twofold. Firstly, does there exist non-trivial distributions such that

$$P(X + Y = x) = f(x, \theta_1(\theta)), \;\;\; P(XY = x) = f(x, \theta_2(\theta)) ?$$

for some $\theta_1$, $\theta_2$. By non-trivial here, I mean any case that $f(x, \theta) = \theta_x$, i.e., for each $x \in S$ there is a corresponding parameter $\theta_x$.

Secondly, within this class of distributions, does there exist distributions with a finite number of parameters?