Exact Sampling and Prefix Distributions Sebastian Oberhoff University of Wisconsin-Milwaukee MS Graduate Student “In this talk we'll discuss means to draw exact samples without incurring any numerical error. In the context of continuous random variables this leads naturally to so... Read More

Numerical Solutions of Fractional Nonlinear Advection-Reaction-Diffusion Equations Sophia Vorderwuelbecke University of Wisconsin-Milwaukee MS Graduate Student “In this thesis non-linear differential equations containing advection, reaction and diffusion terms are solved numerically, where the diffusion term is modelled by a fractional derivative.... Read More

Harmonic Functions in Flat-Ring Coordinates Lijuan Bi University of Wisconsin-Milwaukee PhD Graduate Student “We will derive expansions for afundamental solution of the Laplace's equation in flat-ring coordinates in three-dimensional Euclidean space. These expansions are in terms of harmonic  functions in... Read More

Calibration of a Stochastic Price Model for American Electricity Markets Oliver Meister University of Wisconsin-Milwaukee MS Graduate Student “This thesis discusses models for electricity spot prices from the Midwestern American and Manitoba market. The models are based on experiences in... Read More

Isolating Secular Signals in Observations and Climate Models Using M-SSA Based Wiener Filtering Christian Grimm University of Wisconsin-Milwaukee MS Graduate Student "In this thesis, Wiener filtering of gridded surface-temperature time series from observations and climate model simulations is performed by... Read More

Z-Structures and Semidirect Products with an Infinite Cyclic Group Brian Pietsch University of Wisconsin-Milwaukee PhD Graduate Student “Z-structures were originally formulated by Bestvina in order to axiomatize the properties that an ideal group boundary should have. In this dissertation, we... Read More

Robust Estimation of Parametric Models for Insurance Loss Data Chudamani Poudyal University of Wisconsin-Milwaukee PhD Graduate Student “Parametric statistical models for insurance claims severity are continuous, right-skewed, and frequently heavy-tailed. The data sets that such models are usually fitted to... Read More

Developing a Probabilistic Heavy-Rainfall Guidance Forecast Model For Great Lakes Cities Cory Rothstein University of Wisconsin-Milwaukee MS Graduate Student “A method for predicting the probability of exceeding specific warm-season (April-October) 0-24 hour precipitation thresholds is developed based upon daily maximums... Read More

Using Neural Networks to Characterize the Recoverability of Overpayments on Health Insurance Claims Kayla McMahon University of Wisconsin-Milwaukee MS Graduate Student “Health insurance companies occasionally overpay healthcare providers due to complex coordination of benefits scenarios, ineligibility, payment errors, and various... Read More

Using Self-Organizing Maps as a Forecasting Tool Andrea Honor University of Wisconsin-Milwaukee MS Graduate Student “Some extreme weather events, such as the early season heavy snow and cold weather outbreak of early November 2014, can be traced back to the... Read More