On the maximum likelihood estimation of a discrete, finite support distribution under left-truncation and competing risks
Jackson P. Lautier,
Vladimir Pozdnyakov and
Jun Yan
Statistics & Probability Letters, 2024, vol. 207, issue C
Abstract:
We prove the classical cause-specific hazard rate estimator is a maximum likelihood estimate (MLE) in a discrete-time, finite support setting. We use an alternative parameterization to simplify the multidimensional constrained optimization problem, which allows for a direct calculus-based solution.
Keywords: Asset-backed security; Asset-level disclosures; Convexity; Reverse hazard rate; Reg AB II; Securitization (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:207:y:2024:i:c:s0167715223001979
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DOI: 10.1016/j.spl.2023.109973
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