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Full-Text Articles in Physical Sciences and Mathematics
Considering The Effect Of Uncertainty And Variability In The Synthetic Generation Of Influent Wastewater Time Series, Mansour Talebizadehsardari, Evangelia Belia, Peter A. Vanrolleghem
Considering The Effect Of Uncertainty And Variability In The Synthetic Generation Of Influent Wastewater Time Series, Mansour Talebizadehsardari, Evangelia Belia, Peter A. Vanrolleghem
International Conference on Hydroinformatics
The availability of influent wastewater time series is crucial for assessing the performance of a wastewater treatment plant (WWTP) under dynamic flow and loading conditions. Given the difficulty of collecting sufficient data, synthetic generation may be the only option. Usually, the main constituents of the influent time series (e.g. flow, COD, TSS, TKN) show periodic, auto-correlation, and cross-correlation structures in time. Therefore researchers have used statistical models (e.g. auto-regressive time series models) for random generation of the influent time series. However, these regular patterns in time could be significantly distorted during rain events (wet weather flow (WWF) conditions) in which …
On The Role Of Budget Sufficiency, Cost Efficiency, And Uncertainty In Species Management, Max Post Van Der Burg, Bartholomew B. Bly, Tammy Vercauteren, James B. Grand, Andrew J. Tyre
On The Role Of Budget Sufficiency, Cost Efficiency, And Uncertainty In Species Management, Max Post Van Der Burg, Bartholomew B. Bly, Tammy Vercauteren, James B. Grand, Andrew J. Tyre
School of Natural Resources: Faculty Publications
Many conservation planning frameworks rely on the assumption that one should prioritize locations for management actions based on the highest predicted conservation value (i.e., abundance, occupancy). This strategy may underperform relative to the expected outcome if one is working with a limited budget or the predicted responses are uncertain. Yet, cost and tolerance to uncertainty rarely become part of species management plans. We used field data and predictive models to simulate a decision problem involving western burrowing owls (Athene cunicularia hypugaea) using prairie dog colonies (Cynomys ludovicianus) in western Nebraska. We considered 2 species management strategies: …
Bayesian Analysis Of Continuous Curve Functions, Wen Cheng
Bayesian Analysis Of Continuous Curve Functions, Wen Cheng
Theses and Dissertations
We consider Bayesian analysis of continuous curve functions in 1D, 2D and 3D spaces. A fundamental feature of the analysis is that it is invariant under a simultaneous warping/re-parameterization of all target curves, as well as translation, rotation and scale of each individual if necessary. We introduce Bayesian models based on a special curve representation named Square Root Velocity Function (SRVF) introduced by Srivastava et al. (2011, IEEE PAMI). A Gaussian process model for the SRVFs of curves is proposed, and suitable prior models such as the Dirichlet distribution are employed for modeling the warping function as a cumulative distribution …