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• Jensen–Shannon divergence
  ...ic and it always has a finite value. The square root of the Jensen–Shannon divergence is a metric often referred to as Jensen-Shannon distance[[Category:Dictiona
  600 bytes (86 words) - 13:08, 8 April 2024
• Kullback–Leibler divergence
  ...found across various fields such as information theory, machine learning, statistics, and data science. It quantifies the amount of information lost when one di The Kullback–Leibler divergence from a true probability distribution ''P'' to a different probability distr
  2 KB (332 words) - 09:32, 19 March 2024
• Statistical difference
  ...difference]]''' is a term used in [[statistics]] to describe the degree of divergence between two or more sets of data. It is a measure of the [[statistical sign In statistics, a statistical difference is defined as a significant divergence between two or more sets of data. This difference is often measured using a
  2 KB (300 words) - 23:29, 4 March 2024
• Bhattacharyya distance
  ...o probability distributions. It is widely used in various fields such as [[statistics]], [[pattern recognition]], and [[machine learning]] to quantify the simila ...Statistical analysis]]''': In statistics, it provides a way to measure the divergence between two distributions, which can be useful in hypothesis testing and da
  3 KB (392 words) - 20:16, 17 March 2024
• Spaghetti plot
  ...different series and is commonly used in fields such as [[meteorology]], [[statistics]], and [[data science]]. ...]] or weather fronts, showing the range of possible future positions. In [[statistics]] and [[data science]], they can be used to visualize the variability in mo
  4 KB (528 words) - 14:44, 31 March 2024
• Berndt–Hall–Hall–Hausman algorithm
  ...(BHHH) algorithm''' is an iterative method used in [[econometrics]] and [[statistics]] for estimating the parameters of a model. It is particularly useful in th ...e speed of convergence. Improper selection can lead to slow convergence or divergence.
  3 KB (462 words) - 20:39, 17 March 2024
• Nonlinear dimensionality reduction
  ...' (NLDR) is a set of techniques in the field of [[machine learning]] and [[statistics]] used to reduce the dimensions of [[data]] while preserving the intrinsic ...e distances between data points into probabilities and then minimizing the divergence between these probability distributions in both the high-dimensional and lo
  5 KB (635 words) - 05:35, 11 April 2024
• Evolution of reptiles
  ...utilizes correlograms, which are graphical representations of correlation statistics across different time scales or genetic distances, to analyze the evolution ...'Identifying Evolutionary Patterns''': Correlograms can reveal patterns of divergence and convergence among reptile lineages, indicating periods of rapid evoluti
  4 KB (449 words) - 13:09, 15 April 2024
• Phylogenetic comparative methods
  * '''Bayesian Approaches''': These methods use Bayesian statistics to estimate the parameters of evolutionary models, incorporating uncertaint ...' (CAIC): Similar to PICs, CAIC is a method for examining the evolutionary divergence of traits by comparing them across independently evolved lineages.
  4 KB (521 words) - 03:45, 22 March 2024
• Wanted pages V
  # [[Validity (statistics)]] # [[Vergence#Divergence]]
  12 KB (1,165 words) - 15:21, 26 August 2021
• Wanted pages D
  # [[Dependent and independent variables#Statistics synonyms]] # [[Deviation (statistics)#Unsigned or absolute deviation]]
  32 KB (2,968 words) - 14:57, 26 August 2021
• Dictionary-D
  * [[descriptive statistics]] * [[divergence insufficiency]]
  85 KB (6,636 words) - 02:49, 19 March 2024
• Dictionary of psychology
  * [[Convergence-divergence zone]] * [[Psychological statistics]]
  179 KB (17,765 words) - 00:03, 7 November 2023
• Wildfire
  * '''[[Divergence]]''' * '''[[Statistics]]'''
  428 KB (66,474 words) - 13:34, 9 April 2024