What's The Weight Of Evidence?

Let’s learn what's The Weight Of Evidence. The most accurate or helpful solution is served by Cross Validated.

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Why do people use the term "weight of evidence" and how does it differ from "pointwise mutual information"?

Here, "weight of evidence" (WOE) is a common term in the published scientific and policy-making literature, most often seen in the context of risk assessment, defined by: $$w(e : h) = \log\frac{p(e|h)}{p(e|\overline{h})}$$ where $e$ is evidence, $h$ is hypothesis. Now, I want to know what is the main difference with PMI (pointwise mutual information) $$pmi(e,h)=\log\frac{p(e,h)}{p(e)*p(h)}$$

Answer:

Even though they look similar, they are quite different things. Let's start with the major differences...

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Charlie Epps at Cross Validated Mark as irrelevant Undo

Other solutions

Answer:

In Aug. 2000, physicists working at CERN's LEP saw traces of particles that might fit Higgs Boson, evidence...

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Richard R. at ChaCha Mark as irrelevant Undo

How does using weight-of-evidence to transform categorical data in a logistic regression differ from Bayesian logistic regression?

Conceptually, it seems like a weight-of-evidence transformation is inherently Bayesian, but can be used in a "regular" logistic regression. Is there a difference between a logistic regression with weight-of-evidence transformed variables and...

Answer:

Given that log(Bayes Factor) = weight of evidence (source: Bayes factor), your intuition is largely...

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Abhilash Kantamneni at Quora Mark as irrelevant Undo

Why do people use "weight of evidence"?

The weight of evidence is defined [math]\mathit{woe}(h:e)=\ln \frac{p(e \mid h)}{p(e \mid \overline h)}[/math] What's the difference between PMI?

Answer:

In your woe, you have in hand the evidence, based on your observations, and you are trying to infer...

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Roland Acra at Quora Mark as irrelevant Undo

What are the benefits/risks to using a weight-of-evidence transformation for categorical data in logistic regression models relative to using a dummy variable for each factor level?

I've seen models built both ways, transforming a single attribute using weight-of-evidence and calculating n-1 dummy variables to represent the categorical data. Is one method inherently better than the other?

Answer:

It really depends... When using weights-of-evidence (WOE), you only need to estimate one regression...

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Ricardo Monti at Quora Mark as irrelevant Undo

Physiology: Is there scientific evidence behind this Cold Temperature thermal loading Weight loss TEDMED talk?

Hey all, I saw this TEDMED talk by Ray Cronise. Could someone with more knowledge explain if there is any scientific evidence behind this talk? The premise is along the lines of using cold water to help you lose weight in addition to strength training...

Answer:

This guy's findings have not been my clinical findings. I find that most people do no lose weight as...

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Michael Berglund at Quora Mark as irrelevant Undo

What is strong evidence showing that exercise is useful for weight loss?

I consider randomized controlled trials and meta-analyses evidence - nothing else.

Answer:

On combined hypocaloric diet and exercise: Diet versus exercise in "the biggest... [Obesity (Silver...

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Liang-Hai Sie at Quora Mark as irrelevant Undo

Actual evidence almost starving for 2-5 days (ie, to lose weight) is unhealthy?

Why can't someone willing to lose 1-2 kg just do 2-5 days eating, say, a few egg whites and whey, instead of 1-2 months on diet? I want actual evidence doing so is unhealthy.

Answer:

It's not THAT unhealthy, but if you don't eat enough protein, your body will have to break down muscle...

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Craig Wilson at Quora Mark as irrelevant Undo

Can daily exposure to bright light help weight loss - is there any evidence or theory that it might work?

Obesity seems more common in higher latitudes where sunlight is relatively weak. Also I have noticed that I lose weight during summer holidays. I'd like to know if exercising ...show more

Answer:

or you could try exposing yourself to less food. might work.

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GQLPYZTM2U6ZQFMII4NSMLEVDA at Yahoo! Answers Mark as irrelevant Undo

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