A review of computational statistics and artificial intelligence methodologies

Priyanka Harjule, Azizur Rahman, Basant Agarwal, Vinita Tiwari

Research output: Book chapter/Published conference paperChapter (peer-reviewed)peer-review


The ability to efficiently transmit and rapidly process vast amounts of data has become almost indispensable to our daily lives. The techniques of computational statistics provide an interface between data and its meaningful inferences. Moreover, computational statistics is the primary foundation of machine learning and deep learning algorithms and hence offers an up-and-coming solution to deal with transforming data into knowledge. So, it becomes necessary to study the different computational and statistical techniques and their applications for artificial intelligence. This chapter briefly reviews recent research in computational statistics and its application to artificial intelligence.
Original languageEnglish
Title of host publicationComputational statistical methodologies and modelling for Artificial Intelligence
EditorsPriyanka Harjule, Azizur Rahman , Basant Agarwal , Vinita Tiwari
Place of PublicationBoca Raton
PublisherCRC Press
Number of pages20
ISBN (Electronic)9781003253051
ISBN (Print)9781032170800
Publication statusPublished - 01 Jan 2023

Publication series

NameEdge AI in Future Computing


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