On Lin's condition for products of random variables
Alexander Il'inskii, Sofiya Ostrovska

TL;DR
This paper explores Lin's condition for products of independent random variables, providing a new proof and demonstrating the necessity of independence for the condition to hold.
Contribution
It offers a new proof that Lin's condition is preserved under multiplication of independent variables and clarifies that independence is essential for this property.
Findings
Lin's condition is preserved under multiplication of independent variables.
Without independence, Lin's condition may not hold for the product.
The paper provides a new proof of the main result.
Abstract
The paper presents an elaboration of some results on Lin's conditions. A new proof of the fact that if densities of independent random variables and satisfy Lin's condition, the same is true for their product is presented. Also, it is shown that without the condition of independence, the statement is no longer valid.
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Taxonomy
TopicsProbability and Risk Models · Statistical Distribution Estimation and Applications · Bayesian Methods and Mixture Models
