Languages in China provinces: quantitative estimation with incomplete data

Marginal Analysis of A Population-Based Genetic Association Study of Quantitative Traits with Incomplete Longitudinal Data

A common study to investigate gene-environment interaction is designed to be longitudinal and population-based. Data arising from longitudinal association studies often contain missing responses. Naive analysis without taking missingness into account may produce invalid inference, especially when the missing data mechanism depends on the response process. To address this issue in the ana...

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.

Mechanism Design with Incomplete Languages