A Note on the Application of Hermite Polynomials to Hidden Truncation Models

Abstract Let ( X , Y ) denote a two-dimensional random vector with a standard bivariate normal distribution. Here we consider the case in which X is unobserved and Y is only observed if X takes values in some specified interval. Then the distribution of the observed values of Y is the conditional distribution of Y given that X falls in that interval. In this note, the use of Hermite polynomials in analyzing the distributional properties of such models is considered. A general expression for the conditional expectation of polynomial functions of Y given that X is in some specified interval is given; this result can be used to find the conditional moments of Y . An expansion of the conditional expectation of a function of Y in terms of Hermite polynomials is derived and this result is used to derive expansions for the conditional distribution function of Y , for the distribution function of the skew-normal distribution and for Owen’s T-function.

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Journal
Journal of Statistical Theory and Practice
Published
2026-01-14
DOI
https://doi.org/10.1007/s42519-025-00538-z
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

A Note on the Application of Hermite Polynomials to Hidden Truncation Models

Thomas A. Severini
Journal of Statistical Theory and Practice
Statistical Distribution Estimation and Applications
article

A Note on the Application of Hermite Polynomials to Hidden Truncation Models

Thomas A. Severini
article en

Abstract

Abstract Let ( X , Y ) denote a two-dimensional random vector with a standard bivariate normal distribution. Here we consider the case in which X is unobserved and Y is only observed if X takes values in some specified interval. Then the distribution of the observed values of Y is the conditional distribution of Y given that X falls in that interval. In this note, the use of Hermite polynomials in analyzing the distributional properties of such models is considered. A general expression for the conditional expectation of polynomial functions of Y given that X is in some specified interval is given; this result can be used to find the conditional moments of Y . An expansion of the conditional expectation of a function of Y in terms of Hermite polynomials is derived and this result is used to derive expansions for the conditional distribution function of Y , for the distribution function of the skew-normal distribution and for Owen’s T-function.

Journal of Statistical Theory and PracticeVol. 20(1)
Northwestern University (US)
Openalex Percentile: Top 89%
Statistical Distribution Estimation and Applications
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A Note on the Application of Hermite Polynomials to Hidden Truncation Models — Thomas A. Severini · Journal of Statistical Theory and Practice (2026) | TGRS Research Map | TGRS