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The development of forward mode automatic differentiation rendered decades of computational statistical work on numerical approximations through linearizations obsolete.

Computational StatisticsScienceHistoryMathematical TheoryMay 4, 2026score 0.172 posts · 0 replies across 1 instances
The thread discusses the historical development of statistical methods, highlighting how early work by Le Cam laid foundational theories, while later computational efforts were rendered obsolete by the advent of forward mode automatic differentiation.

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The development of forward mode automatic differentiation rendered decades of computational statistical work on numerical approximations through linearizations obsolete.
Parent: Computational StatisticsEntity: Forward Mode Automatic DifferentiationImpact: positiveDate: May 4, 2026Target: The development of forward mode automatic differentiation

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@[email protected]
Le Cam wrote his likelihood papers and books before the end of the 1950s, computational statistics spent decades finding numerical approximations through linearizations for increasingly complex models, only for for forward mode autodiff to make the computational work irrelevant
0 boosts · 0 favs · 0 replies · May 4, 2026
@[email protected]
Le Cam wrote his likelihood papers and books before the end of the 1950s, computational statistics spent decades finding numerical approximations through linearizations for increasingly complex models, only for for forward mode autodiff to make the computational work irrelevant
0 boosts · 0 favs · 0 replies · May 4, 2026