Results 61 to 70 of about 444,422 (231)
Detection of Application layer DDoS Attacks Based on Bayesian Classifier [PDF]
One of the major challenges in networks security is detecting network attacks. The HTTP flooding attack is the most common type of DDoS attacks that targets application layer.
doaj +1 more source
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
The Sky Has Its Limits in COVID-19 Testing
At the time of writing, in July 2020, the COVID-19 pandemic has already inflicted dramatic international restrictions, including airports closing and limiting international travel. It has been suggested that re-opening of airports should involve and even
Shai Lin, Shay Tzafrir, Shay Gueron
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A simple linear bayes' credibility insurance model
In the minds of most statisticians there are (at least) two mutually exclusive approaches to data analysis. The "classical" or "frequentist" theory consist s of confidence intervals and hypothesis tests.
Abaza, Abmed A. Kambawey
core
Information Design for Early‐Stage Dose‐Finding Trials
ABSTRACT To enhance enrollment rates in early‐stage dose‐finding clinical trials, we propose an information design approach, where the clinical investigator (CI) commits to an information releasing mechanism (IRM) based on the treatment's uncertain efficacy and toxicity to encourage patients to participate in the trial.
Amin Khademi, Ningyuan Chen
wiley +1 more source
An application of Bayes’ theorem to a problem of Cultural astronomy interest [PDF]
In this paper, an elliptical enclosure, found at Piani d’Avaro (Bergamo Province, Lombardy, Northern Italy) was examined from an astronomical point of view.
Adriano Gaspani, Stefano Spagocci
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The Bernstein-Von Mises Theorem in Semiparametric Competing Risks Models [PDF]
Semiparametric Bayesian models are nowadays a popular tool in survival analysis. An important area of research concerns the investigation of frequentist properties of these models.
Nils L. Hjort, Pierpaolo De Blasi
core
ABSTRACT Multi‐tote autonomous mobile robots (MT‐AMRs) are an emerging warehousing technology in which a mobile drive unit carries a lift‐based storage‐and‐retrieval mechanism with an extendable fork and a multi‐tote onboard buffer. On autonomous picking tours, an MT‐AMR visits storage locations, extracts product totes from racks, stores them in its ...
Nils Boysen, Fabian Hennig, Tobias Kroll
wiley +1 more source
In machine learning, the Bayes classifier represents the theoretical optimum for minimizing classification errors. Since estimating high-dimensional probability densities is impractical, simplified approximations such as naïve Bayes and k-nearest ...
Quirin Stier +2 more
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Bayesian Learning and Autoregressive Persistence: Adaptive Forecasting of the Dow Jones Industrial Average (2022–2025) [PDF]
Financial markets operate as dynamic systems in which information and volatility interact continuously, challenging traditional forecasting models based on fixed historical patterns.
George Cristian Gruia +2 more
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