# Tagged Questions

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### Maximum likelihood estimator transformed parameter

I don't get the gist of b). What is it that we are in fact calculating here? I don't get why we can just plug in the rearranged formula.
1answer
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### Concrete Example of Maximum Likelihood Estimator

I was reading this article, about how seatgeek creates its algorithm for choosing the optimal seat: http://chairnerd.seatgeek.com/the-math-behind-ticket-bargains Most of it is straightforward up ...
0answers
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### What’s the relation between the constraint parameter and penalty parameter in lasso regression?

Lasso regression adds a constraint that ∥β∥1, the L1-norm of the parameter vector, is not greater than a given value (say c). Equivalently, it may solve an unconstrained minimization of the ...
1answer
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### Expanding variance

Could someone please expand on line 2 and 3 of: Thank you.
0answers
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### Deriving the optimal value for the intercept term in SVM

I was reading andrew ng's machine learning lecture notes on SVM. I came across the following equation (finding the optimal value for the intercept term $b$ in the SVM problem): However, I have no ...
1answer
43 views

### Maximum of two skewed normal distributions

Does there exist a means to approximate the maximum of two skewed normal distributions in terms of another skewed normal distribution? To make it clearer, given 2 skewed normal distributions ...
0answers
20 views

### Randomized optimization: confidence bounds

I am not sure whether the question is appropriate for MSE, so please feel free advise another website in the network. Suppose I have a Lipschitz continuous function $f:X\to \Bbb R$ where $X$ is a ...
0answers
33 views

### Why is Expectation Maximization algorithm guaranteed to converge to minimum, even local?

I have read a couple of explanations of EM algorithm (e.g. from Bishop's Pattern Recognition and Machine Learning and from Roger and Gerolami First Course on Machine Learning). The derivation of EM is ...
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### Is the Support Vector Classifier in some sense optimal?

My question is, is the original hard-margin support vector classifier optimal in some sense? If you have an answer that refers to the soft-margin SVC instead, I'd also be interested. I know that the ...
0answers
33 views

### Probability of Sampling Matching of Two Independent Schemes in Time

I have encountered a very specific problem, that I don't even know the keywords to search for it. Here is the explanation: There are two independent sampling schemes like in the image below: I want ...
0answers
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1answer
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### online learning to maximize profit

I have a software which takes input as investment and gives the output as return on a particular stock. Now profit metric $x_i$ is defined as the ratio of return $g_i$ to maximum possible return ...
0answers
27 views

### Minimization values for a function [duplicate]

I have got function - non linear(I thk), and a set of variable S=[(x1,y1),(x2,y2)...]. The objective is to find the value for ...
2answers
106 views

### Guess the functional form of a graph

Can you guess the functional form of the following curve y is 0 at x= Infinite ; y is very small ( +ve near to zero) at x=0 Thanks and regards
0answers
92 views