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...'''Tunstall coding''' is a form of [[entropy coding]] used for [[lossless data compression]]. Tunstall coding was the subject of Brian Parker Tunstall's PhD thesis in 1967, while at Geo ...

...se.<ref name="Wade1994">{{cite book |last=Wade |first=Graham |title=Signal Coding and Processing |url=https://books.google.com/books?id=CJswCy7_W8YC&pg=PA56 For example, [[Fibonacci coding]] is a comma code in which the comma is <code>11</code>. <code>11</code> a ...

{{Short description|Organized raw data that has not been otherwise processed or transformed}} ...ta analysis|analyzing]] the data. There are two major types of grouping: [[data binning]] of a single-dimensional variable, replacing individual numbers by ...

[[Image:Edge-notched_card.jpg|thumb|Edge-notched card with data for a bibliographic item. Edges have not yet been notched.]] The "superimposed code" coding systems, such as Zatocoding, saved space by entering several or all subject ...

...expectation maximization'''<ref name=":1" /> and '''generalized predictive coding'''. ...lihood) is replaced with a variational free energy bound.<ref>R P Feynman, Statistical mechanics. Reading MA: Benjamin, 1972</ref> Given the following definitions ...

{{Short description|Concept in statistical analysis}} ...ate analysis''' is one of the simplest forms of [[Statistics|quantitative (statistical) analysis]].<ref name=babbie>[[Earl R. Babbie]], ''The Practice of Social R ...

...phenotype.<ref name=charlesworth/> Typically, silent mutations in protein-coding regions are used as the "control" in the McDonald–Kreitman test. ...Kreitman test, we must first set up a two-way [[contingency table]] of our data on the species being investigated as shown below: ...

...].<ref>{{Cite journal|last=Johnson|first=K. O.|date=June 2000|title=Neural coding|journal=Neuron|volume=26|issue=3|pages=563–566|issn=0896-6273|pmid=10896153 ...s that represent it. In other words, it is possible to look at spike train data and say that the person or animal being recorded is looking at a red ball. ...

...mathematics)|inequality]] that bounds the [[total variation distance]] (or statistical distance) in terms of the [[Kullback–Leibler divergence]]. ...is tight up to constant factors.<ref>{{cite book|title=Information Theory: Coding Theorems for Discrete Memoryless Systems|first1=Imre|last1=Csiszár|first2=J ...

.../www.mdpi.com/1099-4300/21/9/881 P. Baudot, The Poincaré-Shannon Machine: Statistical Physics and Machine Learning Aspects of Information Cohomology , Entropy, 2 ...y]] theory, one can say that this result is parallel to the [[Slepian–Wolf coding|Slepian-Wolf]] and [[Körner–Imre Csiszár–Marton]] theorems. ...

...onality reduction]] technique used in the statistical analyses of [[neural coding|neural responses]]. Specifically, it is a way of projecting a stimulus onto where the probability distributions are approximated by a measured data set via <math>P_{\mathbf{v}}(x|spike) = \langle \delta(x - \mathbf{s} \cdot ...

{{Short description|Statistical measure of inter-rater agreement}} ...counseling and [[survey research]] where experts code open-ended interview data into analyzable terms, in psychological testing where alternative tests of ...

...1993 |editor-last=Hirschberg |editor-first=Julia |title=The Mathematics of Statistical Machine Translation: Parameter Estimation |url=https://aclanthology.org/J93 * [[Coding theory]] ...

{{Short description|Statistical sampling techniques}} ...he different classes/categories represented). These terms are used both in statistical sampling, survey design methodology and in [[machine learning]]. ...

{{short description|Software for statistical analysis of molecular evolution}} ...ail. From the start, MEGA was intended to be easy-to-use and include solid statistical methods only. ...

'''Fuzzy extractors''' are a method that allows [[Biometrics|biometric]] data to be used as inputs to standard [[Cryptography|cryptographic]] techniques, ...zy Extractors: How to Generate Strong Keys from Biometrics and Other Noisy Data"].2008.</ref> ...

...between gambling and measurement-based work extraction |journal=Journal of Statistical Mechanics: Theory and Experiment |date=20 April 2016 |volume=2016 |issue=4 ...|first2=Oron |last3=Permuter |first3=Haim H. |title=Feedback Capacity and Coding for the $(0,k)$ -RLL Input-Constrained BEC |journal= IEEE Transactions on ...

...e audio have been lost due to various factors such as transmission errors, data corruption or errors during recording.<ref name="valimaki">{{cite journal | ...age of [[deep learning]] models, thanks to the growing trend of exploiting data-driven methods in the context of audio restoration.<ref name="gacela"/><ref ...

{{Short description|Property of certain anonymized data}} ...st2=Latanya |last1=Samarati |first1=Pierangela |date=1998 |website=Harvard Data Privacy Lab |access-date=April 12, 2017}}</ref> although the concept dates ...

{{Short description|Data structure}} {{Infobox data structure ...