Results 41 to 50 of about 40,900 (196)

A simple linear bayes' credibility insurance model [PDF]

open access: yes, 1997
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  

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Mini-combined test compared with NICE guidelines for early risk-assessment for pre-eclampsia: the SPREE diagnostic accuracy study

open access: yesEfficacy and Mechanism Evaluation, 2020
Background: The traditional method of risk assessment for pre-eclampsia recommended by the National Institute for Health and Care Excellence is based on maternal factors and it recommends that high-risk women should be treated with aspirin.
Liona C Poon   +5 more
doaj   +1 more source

Solving inverse problems with Bayes' theorem [PDF]

open access: yes, 2022
The goal of inverse problems is to find an unknown parameter based on noisy data. Such problems appear in a wide range of applications including geophysics, medicine, and chemistry. One method of solving them is known as the Bayesian approach.
Sprungk, Björn, Latz, Jonas
core   +2 more sources

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer   +2 more
wiley   +1 more source

Logical Inference Framework for Experimental Design of Mechanical Characterization Procedures

open access: yesSensors, 2018
Optimizing an experimental design is a complex task when a model is required for indirect reconstruction of physical parameters from the sensor readings.
Guillermo Rus, Juan Melchor
doaj   +1 more source

Exact Bayes’ theorem based probabilistic data association for iterative MIMO detection and decoding [PDF]

open access: yes, 2013
In our previous work, it was shown that the conventional approximate Bayes' theorem based probabilistic data association (PDA) algorithms output "nominal APPs", which are unsuitable for the classic architecture of iterative detection and decoding (IDD ...
Yang, Shaoshi   +3 more
core   +1 more source

Advances in causal discovery methods for ecological time series

open access: yesBiological Reviews, EarlyView.
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki   +6 more
wiley   +1 more source

Teleolojik Argüman’ın Bayes Teoremiyle İmtihanı: Wesley Salmon’un Argümanına İlişkin Bir Değerlendirme

open access: yesAnkara Üniversitesi İlahiyat Fakültesi Dergisi, 2022
Tanrı’nın varlığı, teizm ve ateizm arasındaki tartışmaların temel odağıdır. Bu noktada, teistler tarafından Tanrı’nın varlığını temellendirmek için çeşitli argümanlar ileri sürülürken; ateistler tarafından ise aleyhte muhtelif argümanlar kurgulanmıştır ...
İbrahim Yıldız
doaj   +1 more source

Teaching Bayes' Theorem: Strength of Evidence As Predictive Accuracy [PDF]

open access: yes, 2018
Although teaching Bayes' theorem is popular, the standard approach---targeting posterior distributions of parameters---may be improved. We advocate teaching Bayes' theorem in a ratio form where the posterior beliefs relative to the prior beliefs equals ...
Richard D. Morey, Jeffrey N. Rouder
core   +1 more source

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