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A Bayesian approach to sequential monitoring of nonlinear profiles using wavelets
Roumen Varbanov
, Eric Chicken
, Antonio Linero
,
Yun Yang
Statistics
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peer-review
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Keyphrases
Analytic Form
50%
Bayesian Approach
100%
Bayesian Methods
50%
Bayesian Perspective
50%
Change Point Detection
50%
Change Point Estimation
50%
Changes in Structures
50%
Computational Complexity
50%
Effect on Performance
50%
Effective Tool
50%
Free Choice
50%
Frequentist
50%
Hyperparameters
50%
Inherent Variability
50%
Markov Chain Monte Carlo
50%
Monte Carlo Approximation
50%
Nonlinear Profile
100%
Nonlinear Signal
50%
Nonparametric Regression
50%
Phase II Monitoring
50%
Posterior Distribution
100%
Prior Distribution
50%
Sequential Monitoring
100%
Sustained Change
50%
Tuning-free
50%
Wavelet
100%
Wavelet Basis
50%
Wavelet Domain
50%
Mathematics
Bayesian
25%
Bayesian Approach
100%
Bayesian Perspective
25%
Changepoint Detection
25%
Frequentist
25%
Markov Chain Monte Carlo
25%
Posterior Distribution
50%
Simulated Data
25%
Wavelet
100%