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12/01/2022
A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study
We apply classical statistical methods in conjunction with the state-of-...
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12/24/2021
Toeplitz Least Squares Problems, Fast Algorithms and Big Data
In time series analysis, when fitting an autoregressive model, one must ...
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03/16/2021
Rollage: Efficient Rolling Average Algorithm to Estimate ARMA Models for Big Time Series Data
We develop a new method to estimate an ARMA model in the presence of big...
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10/18/2020
Average-reward model-free reinforcement learning: a systematic review and literature mapping
Model-free reinforcement learning (RL) has been an active area of resear...
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05/26/2020
Modeling the Dynamics of the COVID-19 Population in Australia: A Probabilistic Analysis
The novel Corona Virus COVID-19 arrived on Australian shores around 25 J...
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11/27/2019
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
We apply methods from randomized numerical linear algebra (RandNLA) to d...
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11/03/2019
The Importance of Environmental Factors in Forecasting Australian Power Demand
In this paper, a seasonal autoregressive integrated moving average (SARI...
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09/06/2019
Demand Forecasting in the Presence of Systematic Events: Cases in Capturing Sales Promotions
Reliable demand forecasts are critical for the effective supply chain ma...
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05/14/2019
An analytical bound on the fleet size in vehicle routing problems: a dynamic programming approach
We present an analytical upper bound on the number of required vehicles ...
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01/30/2019
Learning to Project in Multi-Objective Binary Linear Programming
In this paper, we investigate the possibility of improving the performan...
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04/21/2018
