Breeding value estimation with incomplete marker data

Maximum Entropy Density Estimation with Incomplete Data

We propose a natural generalization of Regularized Maximum Entropy Density Estimation (maxent) to handle input data with unknown values. While standard approaches to handling missing data usually involve estimating the actual unknown values, then using the estimated, complete data as input, our method avoids the two-step process and handles unknown values directly in the maximum entropy formula...

Software Cost Estimation with Incomplete Data

The construction of software cost estimation models remains an active topic of research. The basic premise of cost modelling is that a historical database of software project cost data can be used to develop a quantitative model to predict the cost of future projects. One of the difficulties faced by workers in this area is that many of these historical databases contain substantial amounts of ...

Signal Estimation from Incomplete Data

We give explicit analytical formulas for finding a signal with the known compact support from its spectrum known on a finite frequency band.

Image Reconstruction from Incomplete Data

Value at Risk Estimation using the Kappa Distribution with Application to Insurance Data

The heavy tailed distributions have mostly been used for modeling the financial data. The kappa distribution has higher peak and heavier tail than the normal distribution. In this paper, we consider the estimation of the three unknown parameters of a Kappa distribution for evaluating the value at risk measure. The value at risk (VaR) as a quantile of a distribution is one of the import...