Now showing items 1-20 of 1142

    • Analysis of certificate of entitlement bidding system in Singapore 

      Chua, Wei Feng (2019-12-02)
      Auctions are one of the important mechanisms in which optimal allocation to individuals can be achieved. In this paper, the COE bidding system was analyzed under the Independent Private Value model and thereafter categorized ...
    • Penalized quantile regression for ΔCoVaR 

      Zhu, Jianfei (2019)
      We proposed applying penalized quantile regression for computing ΔCoVaR, which is the change of value at risk (VaR) of the financial system conditional on an institution being under distress compared to median state. ...
    • Spectral-element simulations of local seismic wave propagation 

      Chey, Chun Fei (2019)
      This report serves to investigate the relationship between seismic wave propagation among nearby receiver stations via simulations based on the Spectral Element Method. The Spectral Element Method is chosen in favour of ...
    • Binding of dsRNAs by PNAs containing Q, modified Q and 2-thio Uracil monomers 

      Lina Nur Lyana Abdul Rahim (2019)
      Peptide nucleic acids (PNAs) have been developed as chemical probes and therapeutic ligands in RNA duplex recognition. PNAs bind to ribonucleic acid (RNA) duplexes via complementary Hoogsteen hydrogen bonding to form ...
    • Biomolecule nanosensing 

      Neo, Yong Yee (2019)
      Detection of genetically modified food through Real-Time Polymerase Chain Reaction (RT PCR) involves the use of expensive fluorescence labels. In this study, comparison between three nano-graphene oxide (GO) materials (HO ...
    • Multi-period principal-agent problems 

      Ooi, Kenneth Wen Rui (2019)
      There is a wealth of literature about principal-agent problems in single-period and continuous-time models, but investigation on such problems in a discrete-time, multi-period setting is relatively scarce. Hence, this ...
    • Investigation of heterostructure characteristics from AB initio principles 

      Chan, Yong Ming (2019)
      Heterostructures offers vast opportunities for novel experimentation on emerging phenomena due to various symmetry-breaking patterns at the interfacial structures. These effects cannot be observed in bulk constituents and ...
    • Understanding user behaviour on an online retail website 

      Tan, Xing Yuan (2019)
      The webmaster has always trying to understand the profiles of the site visitors, especially for the business owners. With the improvement of technology, we can capture every interaction of the users and perform a detailed ...
    • Modelling and analysis of resource allocation for hospital inpatient operations 

      Lum, Jocelyn, Wei Xin (2019)
      {Introduction} More patients are opting to go for Same-Day admissions, where they can register and go for their operations with significantly reduced waiting time. The objective of this paper is to find out the optimal ...
    • Application and analysis of embedding methods for node classification in homophily-rich networks 

      Tan, Yee Ying (2019)
      Using the structural link information in homophily-rich network graphs can potentially improve node classification accuracies. This research will test out the feasibility of using embedding methods to embed the structural ...
    • Ruin probability of insurer in a discrete time setting with heavy-tailed insurance and financial risks 

      Seah, Xin Hui (2019)
      This paper investigates the probability of ruin within a finite period of time in the context of an insurance company. It examines the reserve of an insurance business that is currently invested in a risky asset. There are ...
    • Gamma approximation of stochastic integrals 

      Nicholas, Susanto Tjandra (2019)
      This project provides a way to model the distribution of random processes and their cumulative values, which have their applications, but not limited to, the pricing of actuarial and financial derivatives. Specifically, ...
    • Balancing efficiency and fairness in ridesharing dispatching 

      Wu, Shanshan (2019)
      Ridesharing Apps have increased its significance in urban mobility that provides convenience and higher flexibility to match riders and on-demand drivers with immediate response time. Traditional systems for taxis ...
    • Quantitative analysis of the effectiveness of team-based learning on mathematics undergraduates 

      Amrita, Sridhar Narayanan (2019)
      Collaborative Learning is an emerging teaching strategy that uses group work as a tool for understanding and processing knowledge. Team-Based Learning, a type of Collaborative Learning strategy, achieves this goal through ...
    • Analysis of new long-read sequencing data 

      Phoa, Yohanes Alfredo (2019)
      The rapid development of powerful high throughput sequencing technologies has enabled us to gain valuable insights into the complexities of a human transcriptome. In recent years, Oxford Nanopore has developed a new ...
    • Can topology predict a financial crisis? 

      Dang, Thi Mai Vy (2019)
      Topological Data Analysis (TDA) is an emerging field of Applied Mathematics which combines the work of topology and computational geometry to extract insights from high-dimensional data sets. High-dimensional data sets are ...
    • The composite quantile regression for longitudinal data using the mixture of asymmetric laplace distributions 

      Jin, Ye (2019)
      We propose a linear mixture quantile regression approach, with composite quantile regression (CQR) as a special case, to analyze continuous longitudinal data via a finite mixture of asymmetric Laplace distributions (ALD). ...
    • Demand estimation and bundle price optimization : a data-driven approach 

      Lin, Ziwen (2019)
      The bundling of multi-products at a fixed price has become a popular marketing strategy and attracted many researchers’ attention. This dissertation investigates the bundle pricing problem with discrete choice models. ...
    • Fairness analysis in algorithm design 

      Guo, Yuewen (2019)
      With the development of AI technology, more and more decisions are made by algorithms instead of human beings. On the one hand, machines can greatly increase working efficiency and accuracy. On the other hand, the algorithms ...
    • Graphs with three eigenvalues 

      Xiong, Zhiyuan (2019)
      In this final year project, we have studied the graphs whose adjacency matrices have three distinct eigenvalues. There are mainly two topics studied in the project. First, in section 2, we focus on two interesting nonregular ...