A5066452825- Optimal Experimental Design Methods
- Advanced Statistical Methods and Models
- Complex Systems and Time Series Analysis
- Sports Analytics and Performance
- Market Dynamics and Volatility
- Financial Risk and Volatility Modeling
- Control Systems and Identification
- Advanced Multi-Objective Optimization Algorithms
- Forecasting Techniques and Applications
- Radioactive Decay and Measurement Techniques
- Advanced Measurement and Detection Methods
- Radioactive contamination and transfer
- Radioactivity and Radon Measurements
- Statistical Methods and Inference
- Data Analysis with R
- Industrial Vision Systems and Defect Detection
- Security in Wireless Sensor Networks
- Imbalanced Data Classification Techniques
- Housing Market and Economics
- Hydrology and Drought Analysis
- Cryptographic Implementations and Security
- Machine Learning and Data Classification
- Innovation Diffusion and Forecasting
- Sport and Mega-Event Impacts
- Iterative Methods for Nonlinear Equations
University of Waterloo
2021-2025
Actua
2023
University of Victoria
2019
Institute of Nuclear Energy Research
2017
We propose a new autocorrelation measure for functional time series that we term “spherical autocorrelation”. It is based on measuring the average angle between lagged pairs of after having been projected onto unit sphere. This enjoys several complimentary advantages compared to existing measures data, since it both 1) describes notion “sign” or “direction” serial dependence in series, and 2) more robust outliers. The asymptotic properties estimators spherical are established, used construct...
We propose a new efficient identity-based key-insulted multisignature scheme for facilitating group-oriented applications and mitigating the impact of key exposure.Integrated with systems, proposed adopts explicitly verifiable public keys without additional certificate.Each user can also periodically update his private while one remains unchanged.In scheme, valid must be cooperatively generated by all signers.Our has properties unbounded time periods random-access key-updates.We demonstrate...
We propose an algorithm to construct optimal exact designs (EDs). Most of the work in regression design literature focuses on approximate (AD) paradigm due its desired properties, including optimality verification conditions derived by Kiefer (1959, 1974). ADs may have unbalanced weights, and practitioners difficulty implementing them with a designated run size $n$. Some EDs are constructed using rounding methods get integer number runs at each support point AD, but this approach not yield...
Motivated by the goal of evaluating real-time forecasts home team win probabilities in National Basketball Association, we develop new tools for measuring quality continuously updated probabilistic forecasts. This includes introducing calibration surface plots, and simple graphical summaries them, to evaluate at a glance whether given probability forecasting method is well-calibrated, as well developing statistical tests skill, or relative performance, two competing methods. These are...
We propose a new autocorrelation measure for functional time series that we term spherical autocorrelation. It is based on measuring the average angle between lagged pairs of after having been projected onto unit sphere. This enjoys several complimentary advantages compared to existing measures data, since it both 1) describes notion sign or direction serial dependence in series, and 2) more robust outliers. The asymptotic properties estimators are established, used construct confidence...
Motivated by the goal of evaluating real-time forecasts home team win probabilities in National Basketball Association, we develop new tools for measuring quality continuously updated probabilistic forecasts. This includes introducing calibration surface plots, and simple graphical summaries them, to evaluate at a glance whether given probability forecasting method is well-calibrated, as well developing statistical tests skill, or relative performance, two competing methods. These are...