Bayesian Detection of Piecewise Linear Trends in Replicated Time-Series with Application to Growth Data Modelling

Keyphrases

• Data-driven Modeling 100%
• Mean Parameter 100%
• Replicated Time Series 100%
• Growth Information 100%
• Bayesian Detection 100%
• Unknown Mean 100%
• Piecewise Linear Trends 100%
• Posterior Distribution 100%
• Overfitting 50%
• Source Code 50%
• Imaging Time 50%
• Model Use 50%
• Bayesian Approach 50%
• Data Generating Process 50%
• Sparse Representation 50%
• Fungal Growth 50%
• Unknown Number 50%
• Prior Distribution 50%
• Time-course Data 50%
• Joint Posterior Distribution 50%
• Piecewise Linear Function 50%
• Time-series Measurements 50%
• Metropolis-Hastings Markov Chain Monte Carlo 50%
• Markov Chain Monte Carlo Sampler 50%
• Temporal Process 50%

Mathematics

• Bayesian 100%
• Posterior Distribution 100%
• Linear Trend 100%
• piecewise linear 100%
• Bayesian Approach 50%
• Linear Function 50%
• Simulated Data 50%
• Unknown Number 50%
• Joint Posterior Distribution 50%
• Markov Chain Monte Carlo 50%