Results 91 to 100 of about 40,175 (220)
Bayes' Theorem and Naive Bayes Classifier
This article gives a mathematically rigorous yet easily accessible introduction to Bayes’ theorem and the foundations of naive Bayes learning. Starting from the fundamental elements of probability theory, this article outlines all steps leading to one of
Berrar, Daniel
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Discharge‐Targeted Hydraulic Tomography to Quantify and Locate Aquifer Discharge
Groundwater, EarlyView.Abstract Quantifying and localizing groundwater discharge is inherently difficult. It requires knowledge about hydraulic conductivity and the hydraulic gradient on the scale of interest. Conventional hydraulic testing, such as pumping tests, may fail in the presence of heterogeneity and complex structural boundaries.
Konstantin Drach +2 more
wiley +1 more source
Bayes' theorem, COVID19, and screening tests. [PDF]
Am J Emerg Med, 2020 Chan GM.
europepmc +1 more source
When in Doubt, Tax More Progressively? Uncertainty and Progressive Income Taxation
International Economic Review, EarlyView.ABSTRACT We study the optimal income tax problem under parameter uncertainty about household preferences and wage dynamics. We derive conditions characterizing how such uncertainty affects optimal tax policy. To quantify the effect, we estimate a life‐cycle model using US data and a Bayesian approach.
Minsu Chang, Chunzan Wu
wiley +1 more source
Signaling Vision: Knowing When to Quit
International Economic Review, EarlyView.ABSTRACT We study a signaling game where agents signal their type by choosing when to quit pursuing an uncertain project. High types observe news about project quality and quit when bad news arrives. Low types who do not observe any news may mimic high types by quitting continuously over a phase of time.
Junichiro Ishida, Wing Suen
wiley +1 more source
Unconditional Variance Estimation Under Complex Surveys
International Statistical Review, EarlyView.Summary The unconditional framework treats the samples and the variables of interest as random variables. This is particularly suitable with analytic inference, when modelling survey data. We show that variance estimation does not involve finite population corrections and joint‐inclusion probabilities, even with large sampling fractions and under ...
Yves G. Berger
wiley +1 more source
Bayes' Theorem: Conditional Probabilities
, 1998 To perform calculations using Bayes' theorem, enter the probability for one or the other of the items in each of the following pairs (the remaining item in each pair will be calculated automatically).
Lowry, Richard
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The Random Power Function for Tests Based on Pivotal Quantities
International Statistical Review, EarlyView.Summary In clinical trials planning, evaluation of the probability of success of an experiment is of central interest, for instance, in sample size determination. This assessment typically involves analyses of the power function of a test on a parameter of interest, such as a relevant treatment effect.
Fulvio De Santis +2 more
wiley +1 more source
International Statistical Review, EarlyView.Summary In high‐dimensional survival analysis, effective variable selection is crucial both for model interpretation and predictive performance. This paper investigates Cox regression with lasso and adaptive lasso penalties in genomic datasets where covariates far outnumber observations.
Pilar González‐Barquero +2 more
wiley +1 more source
Estimation of Oil Land Area by Using Bayes’ Theorem [PDF]
, 2010 Petroleum exploration is a high risk business. Consulting geologists predicts the probable existence of oil based on the geological evidence such as reservoir rocks, source rocks, sealed rocks, trap, recovery factor and generation timing to obtain a ...
Thein, Naychi Lai Lai, Shwe, Myo Myat
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