The generative-models tag has no wiki summary.
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Treating multiple Dichotomies combined?
Let's say I am interested in choosing a new country $c_1, \ldots, c_k$ to live in. For some reason I can only apply to one country and only once.
I know for each country a set of 2000 observations ...
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2answers
162 views
Topic Words Selection in Topic Modeling
I understand how generative model of topic modeling works; for each topic there is a distribution of words, and for each document there is a distribution of topics.
Question is how words are ...
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55 views
Difference and connection between generative learning, discriminative learning and max-margin learning
I once heard that, generative learning, discriminative learning and max-margin learning can be separated in terms of their respective definition of loss function. I am not sure how to achieve that?
2
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1answer
118 views
Generative modeling of a mix of continous and discrete variables
I'm trying to build a generative model to run a Monte Carlo simulation. The existing data consist of a combination of discrete and continuous variables. Suppose I have a number of people...
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62 views
Statistical model of a website
I know that HMMs can be used to construct statistical models of text. Thus, we can generate text according to this model, and compute the likelihood of a text sample under the model.
What tools are ...
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48 views
Generative model that penalizes clumping of data
I'm interested in modeling a generative process that encourages data to be "evenly distributed" over its support, i.e. clumping of data points is penalized.
For example, if I have a mixture ...
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2answers
576 views
Why are Gaussian “discriminant” analysis models called so?
Gaussian discriminant analysis models learn $P(x|y)$ and then apply Bayes rule to evaluate
$$P(y|x) = \frac{P(x|y)P_{prior}(y)}{\Sigma_{g \in Y} P(x|g) P_{prior}(g) }.$$ Hence, they are generative ...
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374 views
Generative vs. discriminative
I know that generative means "based on $P(x,y)$" and discriminative means "based on $P(y|x)$," but I'm confused on several points:
Wikipedia (+ many other hits on the web) classify things like SVMs ...
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Generative modelling: what if the generating models have very different “quality of fit”
Say I want to classify my data into two categories. I am pretty sure that my data has been generated by two mixtures of Gaussians -- on has a bimodal and one a trimodal form.
I then train the ...
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2answers
294 views
The connection between Bayesian statistics and generative modeling
Can someone refer me to a good reference that explains the connection between Bayesian statistics and generative modeling techniques? Why do we usually use generative models with Bayesian techniques?
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