LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "bayesian decision" as a keyword



Photo from wikipedia

Use of Bayesian Decision Analysis to Minimize Harm in Patient-Centered Randomized Clinical Trials in Oncology

Sign Up to like & get
recommendations! Published in 2017 at "JAMA Oncology"

DOI: 10.1001/jamaoncol.2017.0123

Abstract: Importance Randomized clinical trials (RCTs) currently apply the same statistical threshold of alpha = 2.5% for controlling for false-positive results or type 1 error, regardless of the burden of disease or patient preferences. Is there an objective… read more here.

Keywords: bayesian decision; decision analysis; clinical trials; oncology ... See more keywords
Photo from wikipedia

Optimal crowd-augmented spectrum mapping via an iterative Bayesian decision framework

Sign Up to like & get
recommendations! Published in 2020 at "Ad Hoc Networks"

DOI: 10.1016/j.adhoc.2020.102163

Abstract: Abstract Recent spectrum measurements show that geo-location spectrum databases are inaccurate in Metropolitan areas by missing a large number of TV white spaces (TVWS). To counter this challenge, this paper introduces a crowd-augmented spectrum database,… read more here.

Keywords: bayesian decision; augmented spectrum; framework; iterative bayesian ... See more keywords
Photo by andersjilden from unsplash

A Bayesian perspective on delusions: Suggestions for modifying two reasoning tasks.

Sign Up to like & get
recommendations! Published in 2017 at "Journal of behavior therapy and experimental psychiatry"

DOI: 10.1016/j.jbtep.2016.08.006

Abstract: BACKGROUND AND OBJECTIVES There are a range of mechanistic explanations on the formation and maintenance of delusions. Within the Bayesian brain hypothesis, particularly within the framework of predictive coding models, delusions are seen as an… read more here.

Keywords: bayesian perspective; bayesian decision; reasoning tasks; decision theory ... See more keywords
Photo by itssnehac from unsplash

Bayesian Decision Theory and Stochastic Independence

Sign Up to like & get
recommendations! Published in 2020 at "Philosophy of Science"

DOI: 10.1086/706083

Abstract: As stochastic independence is essential to the mathematical development of probability theory, it seems that any foundational work on probability should be able to account for this property. Bayesian decision theory appears to be wanting… read more here.

Keywords: stochastic independence; bayesian decision; decision theory; theory ... See more keywords

Visual detection of rice rows based on Bayesian decision theory and robust regression least squares method

Sign Up to like & get
recommendations! Published in 2021 at "International Journal of Agricultural and Biological Engineering"

DOI: 10.25165/ijabe.v14i1.5910

Abstract: Paddy field management is complicated and labor intensive. Correct row detection is important to automatically track rice rows. In this study, a novel method was proposed for accurate rice row recognition in paddy field transplanted… read more here.

Keywords: rice rows; rice; bayesian decision; decision theory ... See more keywords