Publications

Spatial Analysis Leveraging Machine Learning and GIS of Socio-Geographic Factors Affecting Cost Overrun Occurrence in Roadway Projects

This study analyzes cost overrun occurrence (COO) in the context of socioeconomic conditions leveraging machine learning techniques and …
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Image Analysis and Functional Data Clustering for Random Shape Aggregate Models

This study presents a random shape aggregate model by establishing a functional mixture model for images of aggregate shapes. The …
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Stochastic approximation Hamiltonian Monte Carlo

Recently, the Hamilton Monte Carlo (HMC) has become widespread as one of the more reliable approaches to efficient sample generation …
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Augmented particle filters

Particle filters have been widely used for online filtering problems in state–space models (SSMs). The current available proposal …
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Bayesian Hidden Markov Models to Identify RNA-Protein Interaction Sites in PAR-CLIP

The photoactivatable ribonucleoside enhanced cross-linking immunoprecipitation (PAR-CLIP) has been increasingly used for the global …
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