
Unbiased, Adaptive Stochastic Sampling for Rendering
... Figure 1: Our method (left half) is able to generate 380 times more light paths than [Raab et al. 2006] (right half) in the same computation time, and the noise is significantly reduced. Sunlight is the only light source. Global illumination effects, including multiple scattering inside the clouds a ...
... Figure 1: Our method (left half) is able to generate 380 times more light paths than [Raab et al. 2006] (right half) in the same computation time, and the noise is significantly reduced. Sunlight is the only light source. Global illumination effects, including multiple scattering inside the clouds a ...
Bayesian joint ordinal and survival modeling for breast cancer risk
... monitoring changes in breast density could help to identify women at greater risk of disease. In most of the cases, the statistical methods used did not account for relevant characteristics of prospective studies like non-ignorable dropout mechanisms or internal time-dependent covariates [22]. Joint ...
... monitoring changes in breast density could help to identify women at greater risk of disease. In most of the cases, the statistical methods used did not account for relevant characteristics of prospective studies like non-ignorable dropout mechanisms or internal time-dependent covariates [22]. Joint ...
Violating Conditions in Significance Testing
... 17. After simulating 25 t-tests using the calculator program, how many times did you reject the null hypothesis? Is this more or less than the number you would expect? ...
... 17. After simulating 25 t-tests using the calculator program, how many times did you reject the null hypothesis? Is this more or less than the number you would expect? ...