Everything About ___
Live briefing

Everything about Informant function

Gradient of the likelihood function

In statistics, the informant or score is the gradient of the log-likelihood function with respect to the parameter vector. Evaluated at a particular value of the parameter vector, the score indicates the steepness of the log-likelihood function and thereby the sensitivity to infinitesimal changes to the parameter values. If the log-likelihood function is continuous over the parameter space, the score will vanish at a local maximum or minimum; this fact is used in maximum likelihood estimation to find the parameter values that maximize the likelihood function. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Informant functionA 5-minute orientation
  2. Skim a recent paper: Hippocampal Subfields in Mild Cognitive Impairment: Associations with Objective and Informant-Report of Memory FunctionInfluential work since 2022
  3. Pick up a classic book: Mapping the mindThe most-reprinted book on the subject
  4. Read the landmark paper: Self‐rated and informant‐rated everyday function in comparison to objective markers of Alzheimer's diseaseCited 123 times
  5. Go sideways: Fisher informationA closely related topic
  6. Go sideways: Likelihood functionA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Definition
  2. Properties
  3. Examples
  4. Applications
  5. History

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics