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Skip to Search Results- 3Graduate and Postdoctoral Studies (GPS), Faculty of
- 3Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations
- 2Civil and Environmental Engineering, Department of
- 2Civil and Environmental Engineering, Department of/Presentations (Civil & Environmental Engineering)
- 2Mathematical and Statistical Sciences, Department of
- 2Mathematical and Statistical Sciences, Department of/Research Publications (Mathematical and Statistical Sciences)
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A Universal Approximation Theorem for Tychonoff Spaces with Application to Spaces of Probability and Finite Measures
DownloadFall 2022
Universal approximation refers to the property of a collection of functions to approximate continuous functions. Past literature has demonstrated that neural networks are dense in continuous functions on compact subsets of finite-dimensional spaces, and this document extends those findings to...
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Spring 2015
Sampling from a given probability distribution is a key problem in many different disciplines. Markov chain Monte Carlo (MCMC) algorithms approach this problem by constructing a random walk governed by a specially constructed transition probability distribution. As the random walk progresses, the...
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2008
Kouritzin, Michael, Newton, Fraser, Orsten, Sterling, Wilson, Daniel
Classification of data as true or fabricated has applications in fraud detection and verification of data samples. In this paper, we apply nonlinear filtering to a simplified fraud-detection problem: classifying coin flip sequences as either real or faked. On the way, we propose a method for...
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2008
In this paper, we give a direct derivation of the Duncan–Mortensen–Zakai filtering equation, without assuming right continuity of the signal, nor its filtration, and without the usual finite energy condition. As a consequence, the Fujisaki–Kallianpur–Kunita equation is also derived. Our results...
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Re-Sampling the Ensemble Kalman Filter for Improved History Matching and Characterizations of Non-Gaussian and Non-Linear Reservoir Models
DownloadSpring 2015
Reservoir simulation models play an important role in the production forecasting and field development planning. To enhance their predictive capabilities and capture the uncertainties in model parameters, stochastic reservoir models should be calibrated to both geologic and flow observations. The...
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2018-09-23
A system dynamics (SD) model was developed in the Tailings Management Simulator (TMSim) to simulate consolidation processes under quiescent conditions. A top-down iterative approach guides the overall philosophy of the modelling process. The GoldSim software was used as the main simulation...
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What is a p value and what does it mean?
2014-12-03
Researchers aim to make the strongest possible conclusions from limited amounts of data. To do this, they need to overcome two problems. First, important differences in the findings can be obscured by natural variability and experimental imprecision. Thus, it is difficult to distinguish real...