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O(1) Recursive Moving Linear Regression

by Pierdimi·Jun 16, 2026·1 point·1 comment

AI Analysis

MidBig Brain

O(1) linear regression formula with no implementation to evaluate.

Strengths
  • Constant-time complexity regardless of window size k is genuinely useful for streaming data.
  • Recursive approach avoids recomputing from scratch on each new observation.
Weaknesses
  • Text-only post with no code, demo, or working implementation to verify claims.
  • Formula promised in comments but nothing shipped to actually use or test.
Category
Target Audience

Data scientists, quantitative analysts, signal processing engineers

Post Description

Constant time recursive filter for moving linear regression. Works for any window size k. Formula in the first comment.

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