Delpiano et al. [19], for instance, proposed a multi-objective approach for parameter estimation aiming at optimizing both the training loss and the computational load.
DID estimations aimed at assessing the impacts of interventions assume that both populations demonstrate similar characteristics prior to the start of the intervention, and that 'unobservables' follow a common trend; under such circumstances, any differences in changes observed over time between the two populations are attributable to the interventions.
This article proposes an efficient wavelet-based depth video denoising approach based on a multihypothesis motion estimation aimed specifically at time-of-flight depth cameras.
The article entitled "Denoising Algorithm for the 3D Depth Map Sequences Based on Multihypothesis Motion Estimation" by L. Jovanov, A. Pizurica, and W. Philips proposes an efficient wavelet-based depth video denoising approach based on multi-hypothesis motion estimation aimed specifically at time-of-flight depth cameras.
Model-based experiment design for parameter estimation is aimed at obtaining accurate parameter estimates with minimal variance.
Dr. Ahern has a methodological focus to her work, including application of causal inference methods and semi-parametric estimation approaches, aimed at improving the rigor of observational research, and optimizing public health intervention planning.
The goal of classification is to predict the discrete type of output values whereas estimation is aimed at finding the continuous type of output values.
This article presents uncertainty estimation in measurements aimed at determining the thermal balance of a small-scale coal-fired boiler and its efficiency.
We first presented a conservative CQI estimation method aiming at reducing the outage probability.
Adaptive estimation [37] aims at tuning in a data-driven way the unknown parameters of those methods (kernels, histograms, etc).
As a result of these adjustments our updated sample size estimation still aims at detecting a difference between the two interventions on the primary outcome measure of a medium effect size of around 0.5, which is considered clinically relevant.
