Media mix modeling is a statistical analysis on historical data to measure the return on investment (ROI) on advertising and other marketing activities. Current practice usually utilizes data aggregated at a national level, which often suffers from small sample size and insufficient variation in the media spend. When sub-national data is available, we propose a geo-level Bayesian hierarchical m...

We propose a procedure to handle the problem of Gaussian regression when the variance is unknown. We mix least-squares estimators from various models according to a procedure inspired by that of Leung and Barron [17]. We show that in some cases the resulting estimator is a simple shrinkage estimator. We then apply this procedure in various statistical settings such as linear regression or adapt...

Background: There are limited case-mix classification systems for primary care settings which are applicable when considering the optimal clinical skill mix to provide services. Aim: To develop a case-mix classification system (CMCS) and test its impact on analyses of patient outcomes by clinician type, using example data from physician associates’ (PAs) and GPs’ consultations with same-day app...

Protein secretion systems that mediate interbacterial competition secret a wide repertoire of antibacterial toxins. A major player in these competitions is the newly discovered bacterial type VI secretion system (T6SS). We recently found that a subset of polymorphic MIX-effectors, which are a widespread class of effectors secreted by T6SSs, are horizontally shared between marine bacteria and ar...

Iterative solution of the Levermore-Pomraning equations for transport in binary statistical mixtures can be extremely slow in certain limits. We propose an iterative method that improves convergence by utilizing a combination of inner iterations, synthetic acceleration schemes and Krylov iterative methods. Spectral analysis and numerical results show that our new scheme outperforms simpler iter...

A real-time semiautonomous stereo panning system for music mixing has been implemented. The system uses spectral decomposition, constraint rules, and cross-adaptive algorithms to perform real-time placement of sources in a stereo mix. A subjective evaluation test was devised to evaluate its quality against human panning. It was shown that the automatic panning technique performed better than a ...

The theory of constraints is an approach to production planning and control that emphasizes on the constraints to increase throughput by effectively managing constraint resources. One application in theory of constraints is product mix decision. Product mix influences the performance measures in multi-product manufacturing system. This paper presents an alternative approach by using of goal pro...

This paper introduces the concept of “revocable unlinkability” for unlinkable anonymous signatures and proposes a generalized scheme that modifies the signatures to include revocable unlinkability. Revocable unlinkability provides a condition in which multiple messages signed using an unlinkable anonymous signature are unlinkable for anyone except the unlinkability revocation manager. Noteworth...

A MIX net takes a list of ciphertexts (c1, · · · , cN ) and outputs a permuted list of the plaintexts (m1, · · · ,mN ) without revealing the relationship between (c1, · · · , cN ) and (m1, · · · ,mN ). This paper first shows that the Jakobsson’s MIX net of Eurocrypt’98, which was believed to be resilient and very efficient, is broken. We next propose an efficient t-resilient MIX net with O(t) s...

“MIX-net” systems protect the privacy of participants by clouding together their transactions through cascades of third parties. Reliability and trust are therefore open issues in this literature and limit the applicability of these systems. This paper discusses how the MIX approach can be adapted to put the user at the center of the protocol and in control of it, so that each participant can t...