The Application of probability theory

Cover
HalfTitle Page
Title Page
Copyright
Declaration
About the Editor
Table of Contents
List of Contributors
List of Abbreviations
Preface
Chapter 1: Introduction
	References
Chapter 2: Missing Data Approaches for Probability Regression Models with Missing Outcomes with Applications
	Abstract
	Introduction
	Missing Data Approaches
	Method Comparisons And Asymptotic Results
	Poisson Regression Using The Automated Data With Missing Outcomes
	Estimation Using The Automated Data
	A Simulation Study
	An Application
	Conclusions
	Acknowledgements
	References
Chapter 3: Maximum Likelihood Estimation for Three-Parameter Weibull Distribution Using Evolutionary Strategy
	Abstract
	Introduction
	Maximum Likelihood Estimation for Three-parameter Weibull Distribution
	Evolution Optimization
	Results and Discussion
	Conclusions
	Acknowledgments
	References
Chapter 4: Probability Distribution and Deviation Information Fusion Driven Support Vector Regression Model and its Application
	Abstract
	Introduction
	Review of SVR
	Probability Distribution Information Weighted Support Vector Regression
	Experimental Results
	Conclusion
	References
Chapter 5: Cascade Source Inference in Networks: a Markov Chain Monte Carlo Approach
	Abstract
	Introduction
	Problem Formulation
	Source Inference Algorithm
	Experimental Results
	Conclusion
	Acknowledgements
	References
Chapter 6: PICF-LDA: A Topic Enhanced LDA with Probability Incremental Correction Factor for Web API Service Clustering
	Abstract
	Introduce
	Related Work
	Topic Contribution Degree
	Experiment
	Conclusions
	Acknowledgements
	References
Chapter 7: The Development of a Stochastic Mathematical Model of Alzheimer’s Disease to Help Improve the Design of Clinical Trial
	Abstract
	Introduction
	Material and Methods
	Results
	Discussion
	Acknowledgments
	References
Chapter 8: Comparison of Neural Network and Logistic Regression Analysis to Predict the Probability of Urinary Tract Infection Ca
	Abstract
	Introduction
	Materials and Methods
	Results
	Discussion
	Conclusion
	References
Chapter 9: Statistical Analysis of Orthographic and Phonemic Language Corpus for Word-Based and Phoneme-Based Polish Language Mod
	Abstract
	Introduction
	Orthographic Language Corpus
	Phonemic Language Corpus
	Analysis of the Obtained Results and Discussion
	Example of Practical Application of the Obtained Results for Language Modelling
	Conclusions
	Acknowledgements
	References
Chapter 10: Detection of Fake News and Hate Speech for Ethiopian Languages: A Systematic Review of the Approaches
	Abstract
	Introduction
	Related Works
	Results and Discussion
	Conclusion and Recommendation
	References
Chapter 11: Comparison between the Hamiltonian Monte Carlo Method and the Metropolis-Hastings Method for Coseismic Fault Model Est
	Abstract
	Introduction
	Method
	Results
	Discussion
	Conclusions
	Acknowledgements
	References
Chapter 12: Sequential Monte Carlo Method Toward Online RUL Assessment with Applications
	Abstract
	Introduction
	From MCMC To SMC
	Rul Online Assessment from Performance Degradation
	An Numerical Example of Cutter Lifetime Assessment
	Conclusions
	References
Chapter 13: Probabilistic Forecasting of Traffic Flow Using Multikernel Based Extreme Learning Machine
	Abstract
	Introduction
	Literature Review
	Methodology
	PIS Model Construction by Qpso-kelm
	Application Studies
	Conclusions
	Acknowledgments
	References
Chapter 14: Value-at-Risk under Ambiguity Aversion
	Abstract
	Background
	Modeling Normal Distributions Under Ambiguity
	Value-at-risk and Expected Shortfall Under Ambiguity Aversion
	Risk Aggregation
	Conclusion
	Acknowledgements
	References
Chapter 15: DAViS: A Unified Solution for Data Collection, Analyzation, and Visualization in Real-Time Stock Market Prediction
	Abstract
	Introduction
	Related Literature
	Preliminary
	The Proposed Davis Framework
	Experimental Setup
	Experimental Result
	Acknowledgements
	References
Index
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