Data Science: Measuring Uncertainties

With the increase in data processing and storage capacity, a large amount of data is available. Data without analysis does not have much value. Thus, the demand for data analysis is increasing daily, and the consequence is the appearance of a large number of jobs and published articles. Data science...

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Bibliographic Details
Format:	eBook
Language:	English
Published:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:	Mathematics and Science Research and information: general algebraic Riccati equation artificial intelligence attribute weights bank profile shape Bayesian forecasting Bayesian hierarchical modeling Bayesian inference Bayesian nonparametrics big data binary probit regression channel cloud model clustering cointegration confirmation measure continuous Kalman filter cross-entropy data science decoy distributions density estimation discrete Kalman filter distribution free earthquake shelters EM algorithm entropy fuzzy time series gene expression programming (GEP) genetic programming grey correlation analysis Heikin-Ashi candlestick hypothesis testing inductive logic integrated approach intrinsic prior intuitionistic fuzzy cross-entropy Markov random fields mathematical entropy model maximum entropy method mean-field approximation medical test mixture model model-based clustering multi-attribute emergency decision-making multilayer networks mutual investment funds n/a non-parametric statistical test nonlinear differential Riccati equation objective Bayesian inference outlier detection overfitting detection Pitman-Yor process prior sensitivity probabilistic graphical models raven paradox relative entropy Rényi entropy robust singular spectrum analysis scaled quantile residual scoring function semantic information singular spectrum analysis size invariance stock trend time series time series forecasting time series of counts uncertain reasoning unit root variational inference water resources
Online Access:	Open Access: DOAB: description of the publication Open Access: DOAB, download the publication

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Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication

Data Science: Measuring Uncertainties

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