Thomas Lumley • 5/22/2014

Monotonicity and smoothness

Read Original

The article discusses the relative value of assuming monotonicity versus smoothness in statistical modeling. It explains that while monotonicity seems like a strong assumption, asymptotically it offers less benefit (Op(n^{-1/3})) than smoothness (Op(n^{-2/5})). However, with sparse data, monotonicity is more powerful, whereas smoothness becomes more useful with dense data.

0 comments
#statistics #Modelling #Asymptotics
Monotonicity and smoothness

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
React, useEffect, and Stale Closures: How to Avoid Them with Dependencies and useRef
Jivbcoop • 4 votes
2
Better react-hook-form Smart Form Components
Maarten Hus • 2 votes
3
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook • 1 votes
4
Quoting Thariq Shihipar
Simon Willison • 1 votes
5
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft • 1 votes
6
Using Browser Apis In React Practical Guide
Jivbcoop • 1 votes