Results 81 to 90 of about 1,294,144 (288)

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio   +1 more
wiley   +1 more source

Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture

open access: yesGeological Journal, EarlyView.
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi   +3 more
wiley   +1 more source

Sistem Pakar Untuk Diagnosis Hama Pada Tanaman Jambu Air Menggunakan Metode Theorema Bayes

open access: yesJurnal Ilmiah Informatika, 2020
Technology is a tool or means used by humans to make ends meet. Technological development covers various aspects of life, such as health, education and in agriculture.
Yoga Junaedi   +2 more
doaj   +1 more source

The Fermi's Bayes Theorem

open access: yes, 2005
It is curious to learn that Enrico Fermi knew how to base probabilistic inference on Bayes theorem, and that some influential notes on statistics for physicists stem from what the author calls elsewhere, but never in these notes, {\it the Bayes Theorem ...
D'Agostini, G.
core  

Bayesian Updating, Model Class Selection and Robust Stochastic Predictions of Structural Response [PDF]

open access: yes, 2011
A fundamental issue when predicting structural response by using mathematical models is how to treat both modeling and excitation uncertainty. A general framework for this is presented which uses probability as a multi-valued conditional logic for ...
Beck, James L.
core  

Application of Bayes' theorem for pulse shape discrimination [PDF]

open access: yes, 2015
A Bayesian approach is proposed for pulse shape discrimination of photons and neutrons in liquid organic scinitillators. Instead of drawing a decision boundary, each pulse is assigned a photon or neutron confidence probability.
M. Monterial   +3 more
semanticscholar   +1 more source

Competing Demographic Drivers of Hospital Expenditures: Coexistence of the Red Herring and the Steepening Effects

open access: yesHealth Economics, EarlyView.
ABSTRACT The fiscal sustainability of healthcare systems is increasingly strained by aging populations with two competing hypotheses dominating the literature. The Red Herring Hypothesis suggests that healthcare expenditures are driven more by proximity to death than by chronological age, while the Steepening Hypothesis examines whether expenditures ...
Malene Kallestrup‐Lamb   +2 more
wiley   +1 more source

Consistency of Bayes factor for nonnested model selection when the model dimension grows

open access: yes, 2016
Zellner's $g$-prior is a popular prior choice for the model selection problems in the context of normal regression models. Wang and Sun [J. Statist. Plann.
Maruyama, Yuzo, Wang, Min
core   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
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

Baye's Theorem

open access: yesSSRN Electronic Journal, 2009
Baye's Theorem states that the conditional probability of A given B can be found out by dividing the product of the conditional probability of B given A and the marginal probability of A by the sum of the product of the conditional probability of B given A and the marginal probability of A (Law of total probability).
openaire   +3 more sources

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