Combination antibiotic therapy of nosocomial pneumonia is sometimes appropriate and desirable; however, it should be used judiciously. When pneumonia appears in the first 5 days following hospital admission and in the absence of other risk factors for infection by multidrug-resistant pathogens, the infection is likely to be due to a pathogen acquired in the community and is likely to be sensiti...

We explore the 2013 Planck likelihood function with a high-precision multi-dimensional minimizer (Minuit). This allows a refinement of the ΛCDM best-fit solution with respect to previously-released results, and the construction of frequentist confidence intervals using profile likelihoods. The agreement with the cosmological results from the Bayesian framework is excellent, demonstrating the ro...

We develop a non-negative polynomial minimum-norm likelihood ratio (PLR) of two distributions which only moments are known. The PLR converges to the true, unknown, ratio. show consistency, obtain asymptotic distribution for coefficients estimated with sample moments, and present applications. first develops unknown transition density jump-diffusion process. second modifies Hansen-Jagannathan pr...

Abstract We consider the problem of fast time-series data clustering. Building on previous work modeling, correlation-based Hamiltonian spin variables we present an updated non-expensive agglomerative likelihood clustering algorithm (ALC). The method replaces optimized genetic based approach (f-SPC) with recursive merging framework inspired by in econophysics and community detection. is tested ...

Multi-band speech recognition is powerful in band-limited noise, when the recognizer of the noisy band, which is less reliable, can be given less weight in the recombination process. An accurate decision on which bands can be considered as reliable and which bands are less reliable due to corruption by noise is usually hard to take. In this article, we investigate a maximum-likelihood (ML) appr...

We present a model-based noise compensation algorithm for robust speech recognition in nonstationary noisy environments. The effect of noise is split into a stationary part, compensated by parallel model combination, and a time varying residual. The evolution of residual noise parameters is represented by a set of state space models. The state space models are updated by Kalman prediction and t...

This systematic review examines the methods and results of recent studies reporting clinical criteria able to identify patients with Staphylococcus aureus bacteremia who are at very low risk of endocarditis. We searched PubMed, EMBASE, and the Cochrane Collaboration CENTRAL database for articles published after March 1994 using a combination of MeSH and free text search terms for S. aureus AND ...