Application of Probability Theory

Inbunden, Engelska, 2024

2 809 kr

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Explores the diverse applications of probability theory across various fields, ranging from statistics and data analysis to machine learning and artificial intelligence, medical and health sciences, natural language processing, information retrieval, and engineering.

Produktinformation

Utgivningsdatum2024-03-31
Mått152 x 229 x undefined mm
FormatInbunden
SpråkEngelska
Antal sidor399
FörlagArcler Press
ISBN9781774698617

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Matematisk statistik inom Naturvetenskap och teknik

Olga Moreira holds an M.Sc. and Ph.D. in Astrophysics, along with a B.Sc. and M.Sc. in Physics and Applied Mathematics with specialization in Astronomy, showcasing her strong academic background. With extensive experience as a technical writer and researcher, Olga has excelled in her field. She has been honoured with prestigious fellowships during her postgraduate studies at two renowned European institutions specializing in Astrophysics and Space Science: the European Southern Observatory and the European Space Agency.

Chapter 1 IntroductionChapter 2 Missing Data Approaches for Probability Regression Models with Missing Outcomes with ApplicationsChapter 3 Maximum Likelihood Estimation for Three-Parameter Weibull Distribution Using Evolutionary StrategyChapter 4 Probability Distribution and Deviation Information Fusion Driven Support Vector Regression Model and its ApplicationChapter 5 Cascade Source Inference in Networks: a Markov Chain Monte Carlo ApproachChapter 6 PICF-LDA: A Topic Enhanced LDA with Probability Incremental Correction Factor for Web API Service ClusteringChapter 7 The Development of a Stochastic Mathematical Model of Alzheimer's Disease to Help Improve the Design of Clinical Trials of Potential TreatmentsChapter 8 Comparison of Neural Network and Logistic Regression Analysis to Predict the Probability of Urinary Tract Infection Caused by CystoscopyChapter 9 Statistical Analysis of Orthographic and Phonemic Language Corpus for Word-Based and Phoneme-Based Polish Language ModellingChapter 10 Detection of Fake News and Hate Speech for Ethiopian Languages: A Systematic Review of the ApproachesChapter 11 Comparison between the Hamiltonian Monte Carlo Method and the Metropolis-Hastings Method for Coseismic Fault Model EstimationChapter 12 Sequential Monte Carlo Method Toward Online RUL Assessment with ApplicationsChapter 13 Probabilistic Forecasting of Traffic Flow Using Multikernel Based Extreme Learning MachineChapter 14 Value-at-Risk under Ambiguity AversionChapter 15 DAViS: A Unified Solution for Data Collection, Analyzation, and Visualization in Real-Time Stock Market Prediction