This study investigates the predictive performance of Concrete Compressive Strength (CCS)
for high-performance, based on concrete mixture constituents and proportioning. A new …

In this paper, we combine the theory of stochastic process and techniques of machine
learning with the regression analysis, first proposed by Longstaff and Schwartz 2001 and …

Research has increasingly been conducted to improve the toughness and aesthetics of
zirconium oxide (zirconia) used in prosthetic dentistry. However, the balance between better …

Policy evaluation is central to economic data analysis, but economists mostly work with
observational data in view of limited opportunities to carry out controlled experiments. In the …

The fast pace evolving of Android malware demands for highly efficient strategy. That is, for
a range of malware types, a malware detection scheme needs to be resilient and with …

Malware detection based on static features and without code disassembling is a challenging
path of research. Obfuscation makes the static analysis of malware even more challenging …

Scientific applications such as personalised (precision) medicine require statistical
guarantees on causal mechanisms, however in many settings only observational data with …

We propose here a generalization of regression trees, referred to as Probabilistic
Regression (PR) trees, that adapt to the smoothness of the prediction function relating input …

Advances in computer science technologies have shed light on artificial neural networks
(ANN). ANN shows its power and efficiency in various classification and regression …

This dissertation is comprised of three essays, each dealing with topics in empirical
Industrial Organization and Applied Microeconomics. The second chapter was co-authored …