P
Paul D. Feigin
Researcher at Technion – Israel Institute of Technology
Publications - 76
Citations - 2689
Paul D. Feigin is an academic researcher from Technion – Israel Institute of Technology. The author has contributed to research in topics: Estimator & Markov process. The author has an hindex of 26, co-authored 74 publications receiving 2521 citations. Previous affiliations of Paul D. Feigin include Australian National University.
Papers
More filters
Journal ArticleDOI
A double-blind, delayed-start trial of rasagiline in Parkinson's disease.
C. Warren Olanow,Olivier Rascol,Robert A. Hauser,Paul D. Feigin,Joseph Jankovic,Anthony E. Lang,William J. Langston,Eldad Melamed,Werner Poewe,Fabrizio Stocchi,Eduardo Tolosa +10 more
TL;DR: Early treatment with rasagiline at a dose of 1 mg per day provided benefits that were consistent with a possible disease-modifying effect, but early treatment with the two doses were associated with different outcomes, the study results must be interpreted with caution.
Journal ArticleDOI
Random coefficient autoregressive processes:a markov chain analysis of stationarity and finiteness of moments
TL;DR: In this paper, simple yet practically efficient conditions for the ergodicity of a Markov chain on a general state space have been developed, and they illustrate their application to non-linear time series models and, in particular, to random coefficient autoregressive models.
Journal ArticleDOI
A Novel Host-Proteome Signature for Distinguishing between Acute Bacterial and Viral Infections
Kfir Oved,Asi Cohen,Olga Boico,Roy Navon,Tom Friedman,Liat Etshtein,Or Kriger,Ellen Bamberger,Yura Fonar,Renata Yacobov,Ron Wolchinsky,Galit Denkberg,Yaniv Dotan,Amit Hochberg,Yoram Reiter,Moti Grupper,Isaac Srugo,Paul D. Feigin,Malka Gorfine,Irina Chistyakov,Ron Dagan,Adi Klein,Israel Potasman,Eran Eden +23 more
TL;DR: The accurate differential diagnosis provided by this novel combination of viral- and bacterial-induced proteins has the potential to improve management of patients with acute infections and reduce antibiotic misuse.
Journal ArticleDOI
Maximum likelihood estimation for continuous-time stochastic processes
TL;DR: In this paper, the role of martingale limit theory in the theory of maximum likelihood estimation for continuous-time stochastic processes is investigated and analogues of classical statistical concepts and quantities are also suggested.
Journal ArticleDOI
Workload forecasting for a call center: Methodology and a case study
TL;DR: An arrival count model which is based on a mixed Poisson process approach is introduced which is applied to data from an Israeli Telecom company call center and shows that during most hours of the day the model can reach desired precision levels.