Questions tagged [bayesian-nonparametric]
6 questions
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3 answers
What Clustering Method Should I Use?
My data is a group of 10 thousand points (each having an node location (x,y)) that are spread across a plane. They are also chromatically-colored based on their weight.
I need to finalize a bayesian nonparametric clustering method that groups points…
ChessGrandMaster
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2
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1 answer
Good introductory reference for Bayesian Non-parametric (Dirichlet Process / Chinese Restaurant Process)
I am looking for a recommendation for basic introductory material on Bayesian Non-parametric methods, specifically Dirichlet Process / Chinese Restaurant Process. I am looking for material which covers the modeling part as well as the inference part…
SHASHANK GUPTA
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How does bayesian optimization with gaussian processes work?
Could someone explain in simple words
what are gaussian processes
how does bayesian optimization work
and their combination?
Ben
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Why Maximum Likelihood Estimation for normal distribution?
Since we can compute the mean and the standard deviation of a set of random variables, why do we use Maximum Likelihood Estimation to estimate these parameters?
Yacine
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Understanding the uncertainty in gaussian processes
Consider the following image:
which is an fitted GP. Note how $0 <= x <= 2$ yield a much higher uncertainty than e.g $5 <= x <= 8$.
Thus gps are good when dealing with the exploration vs exploitation dilemma which is useful in e.g bayesian…
kumar humrai
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On the time complexity of Bayesian linear regression and Gaussian process
By drawing analogy, I believe that Bayesian linear regression has a time complexity same to standard linear regression $(^2+^3)$ which is dominated by the number of features $p$ (What is the Time Complexity of Linear Regression?). To be more…
Sam
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